Google Cloud Certification

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Fundamentals Outline

Module 1: Introduction to Google Cloud Fundamentals

  • Overview
  • Google Cloud Infrastructure
  • Google Cloud Platform Services
  • GCP Regions and Zones
  • Edge Caching
  • Cloud Content Delivery Network

Module 2: Setting Up Accounts and Billing

  • Google Cloud Platform Accounts
  • Billing Accounts
  • Projects
  • Admin Setup

Module 3: Networking

  • Google Cloud Platform Networks
  • Subnets
  • Routes
  • Firewall Rules
  • VMs in Networks
  • Add VMs, Explore the Default Network, and Test Connectivity

Module 4: Working with VM Instances

  • Google Compute Engine Machine Types
  • Instances
  • Persistent Disks
  • Local SSDs
  • Preemptible VMs
  • VM and Web App Deployment
  • Deploy VMs with an App by Console and Command-Line

Module 5: Scaling and Load Balancing Apps

  • Google Compute Engine Instance Templates
  • Managed Instance Groups and Load Balancing
  • Autoscaling and Load Balancing Setup
  • Lab: Scale and Load Balance Instances and Test Under Load

Module 6: Isolating Instances and Apps

  • 3-Tier Web App in GCP
  • Custom Network with Custom Subnets and Firewall Rules
  • Lab: Build a 3-Tier Web App with Public Front-End and Private Backend

Module 7: Using Storage as a Service and Database as a Service

  • Google Cloud Storage and Google Cloud SQL
  • Lab:Use Gsutil Command-Line Tool to Perform Operations on Buckets and Objects
  • Lab: Load and Analyse Data in BigQuery

Module 8: Deployment and Monitoring

  • Google Cloud Deployment Manager, Google StackDriver
  • Lab: Deploy Your Infrastructure Using Deployment Manager

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Who should attend this Google Cloud Fundamentals?

This training course is ideal for anyone looking to gain a foundational understanding of Google Cloud services and how they can be applied in various professional contexts. This course can benefit various professionals such as:

  • Cloud Engineers
  • Data Engineers
  • System Administrators
  • Solution Architects
  • Software Developers
  • Business Analysts
  • Technical Managers

Prerequisites for the Google Cloud Fundamentals

There are no formal prerequisites for this training course.

Introduction to Google Cloud Fundamentals

This training course is of paramount importance in today's digital landscape. With organisations increasingly shifting their operations to the cloud, mastering this subject is crucial for staying competitive and ensuring optimal efficiency. This course delves into networking, computing, storage, and databases within Google Cloud, offering an in-depth understanding of essential infrastructure components such as GCP regions, zones, and network configurations.

Professionals across various domains, from IT Specialists to Data Scientists and Business Executives, should aim to master Google Cloud. Delegates will find this course invaluable, as it equips them with the skills needed to navigate the complexities of the Google Cloud Platform. Knowledge in this area is essential for staying relevant in an ever-evolving tech landscape and making informed decisions about cloud adoption.

The Knowledge Academy's 1-Day Google Cloud Fundamentals in Georgia is designed to empower delegates with the comprehensive knowledge and hands-on experience needed to excel in the world of Google Cloud. By covering essential topics such as infrastructure deployment, database management, and cloud storage, this training equips delegates with the practical skills required to build and manage cloud-based solutions.

Course Objectives

  • To comprehend Google Cloud infrastructure, grasp key concepts like regions, zones, and network setups
  • To deploy Virtual Machines (VMs) effectively, and master both the console and command line methods
  • To handle Google Cloud's storage and database services, such as Cloud SQL, Cloud Spanner, and BigQuery
  • To perform cloud storage operations efficiently and become proficient in using the gsutil command-line tool
  • To manage and monitor infrastructure effectively, and gain an understanding of Google Cloud deployment manager and Stackdriver

Upon completion of the Google Cloud Fundamentals in Georgia, delegates will possess a solid grasp of the core capabilities of GCP, enabling them to harness its powerful tools and services effectively.

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What’s included in this Google Cloud Fundamentals?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Fundamentals Course Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

Architecting with Google Cloud Platform Infrastructure Outline

Module 1: Introduction to Google Cloud Platform

  • Introduction to Google Cloud Platform
  • Google Cloud Infrastructure
  • Google Cloud Platform Services
  • GCP Regions and Zones
  • Edge Caching
  • Cloud Content Delivery Network

Module 2: Setting Up Accounts and Billing

  • Google Cloud Platform Accounts
  • Billing Accounts
  • Projects
  • Admin Setup

Module 3: Working with VM Instances

  • Google Cloud Platform Networks
  • Subnets
  • Routes
  • Firewall Rules
  • Google Compute Engine Machine Types
  • Instances
  • Persistent Disks
  • Local SSDs
  • Preemptible VMs
  • VM and Web App Deployment
  • Deploy VMs with an App by Console and Command-Line

Module 4: Using Storage as a Service and Database as a Service

  • Google Cloud Storage
  • Google Cloud SQL
  • Lab: Use Gsutil Command-Line Tool to Perform Operations on Buckets and Objects
  • Lab: Load and Analyse Data in BigQuery

Module 5: Deployment and Monitoring

  • Google Cloud Deployment Manager
  • Google StackDriver
  • Lab: Deploy Your Infrastructure Using Deployment Manager

Module 6: System Design of Google Cloud Architecture Framework

  • What is Google Cloud Architecture Framework?
  • Select Zones and Regions
  • Manage Cloud Resources
  • Choose and Manage Compute
  • Design Network Infrastructure
  • Implement Storage Strategy
  • Optimise Database
  • Analyse Data
  • Implement Machine Learning

Module 7: Operational Excellence

  • Overview
  • Automate Deployments
  • Set Up Monitoring, Alerting, and Logging
  • Establish Cloud Support and Escalation Processes
  • Manage Capacity and Quota
  • Plan for Peak and Launch Events
  • Create a Culture of Automation

Module 8: Security, Privacy, and Compliance

  • Overview
  • Security Principles
  • Manage Risk with Controls and Assets
  • Manage Identity and Access
  • Implement Compute and Container Security
  • Secure Network
  • Implement Data Security
  • Deploy Applications Securely
  • Manage Compliance Obligations
  • Implement Data Residency and Sovereignty Requirements
  • Implement Privacy Requirements
  • Implement Logging and Detective Controls

Module 9: Cost Optimisation

  • Overview of Cost Optimisation
  • Adopt and Implement FinOps
  • Monitor and Control Cost
  • Compute, Containers, and Serverless
  • Storage
  • Databases and Smart Analytics
  • Networking
  • Cloud Operations
  • Performance Optimisation

Module 10: Load Balancing and Autoscaling

  • Load Balancing
  • Managed Instance Groups
  • Autoscaling Policy
  • Cool Down Period
  • Stabilisation Period
  • Autoscaling Mode
  • Predictive Autoscaling
  • Scale-in Controls
  • Recommended Size

Module 11: Automating Infrastructure with Cloud Composer

  • Defining the Architecture
  • Scaling the Workflow
  • Setting Up a Sample Compute Engine Instance

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Who should attend this Architecting with Google Cloud Platform Infrastructure?

The Architecting Infrastructure with Google Cloud Platform Course is designed for those who want to get better at Solution Architecture, Cloud Engineering, and implementing infrastructure solutions using Google Cloud Platform (GCP). This course can be especially beneficial for the following professionals:

  • Cloud Engineers
  • Data Engineers
  • DevOps Engineers
  • Solution Architects
  • Cloud Strategy Managers
  • Solution Designers
  • Network Engineers

Prerequisites for the Architecting with Google Cloud Platform Infrastructure

There are no formal prerequisites for this Architecting Infrastructure with Google Cloud Platform Course.

Introduction to Architecting with Google Cloud Platform Infrastructure

Architecting with Google Cloud Platform Infrastructure is a comprehensive 3-day course offered by the Knowledge Academy. In an increasingly cloud-centric world, this course introduces delegates to the topic and emphasises its relevance in modern IT landscapes. Google Cloud Platform, a leading player in the cloud computing industry, is a primary focus.

Understanding Architecting Infrastructure with Google Cloud Platform is essential for IT professionals across various domains. Pursuing courses on the Google Cloud are crucial for those looking to validate their cloud expertise and advance their careers. Architects, System Administrators, and Cloud Engineers are among the professionals who should aim to master this subject.

The 3-day training by the Knowledge Academy equips delegates with the knowledge and practical skills needed to use the Google Cloud Platform effectively and efficiently.  This course provides in-depth insights into Architecting Infrastructure, enabling delegates to design, deploy, and manage robust cloud solutions.

Course Objectives

  • To gain a comprehensive understanding of Google Cloud Platform's architecture and services
  • To develop the skills to design and deploy highly scalable and reliable infrastructure on Google Cloud
  • To learn best practices for optimising cost, performance, and security in cloud environments
  • To acquire hands-on experience in building and managing cloud solutions in real-world scenarios
  • To enhance career prospects by becoming proficient in Architecting Infrastructure with Google Cloud Platform

After completing the Architecting with Google Cloud Platform Infrastructure, delegates will be well-equipped to excel in their roles as Cloud Architects, System Administrators, and Cloud Engineers. They will have the knowledge and skills to design, deploy, and manage robust cloud solutions on Google Cloud Platform, making them highly sought-after professionals in the IT industry.

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What's included in this Architecting with Google Cloud Platform Infrastructure?

  • World-Class Training Sessions from Experienced Instructors
  • Architecting Infrastructure with Google Cloud Platform Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Data Engineering with Google Cloud Platform Outline

Module 1: Google Cloud Dataproc Overview

  • Dataproc Overview
  • Creating and Managing Clusters
  • Custom Machine Types and Preemptible Worker Nodes
  • Scaling and Deleting Clusters
  • Creating Hadoop Clusters with Google Cloud Dataproc

Module 2: Running Dataproc Jobs

  • Running Pig and Hive Jobs
  • Separation of Storage and Compute
  • Running Hadoop and Spark Jobs with Dataproc
  • Submit and Monitor Jobs

Module 3: Integrating Dataproc with Google Cloud Platform

  • Customise Cluster with Initialisation Activities
  • BigQuery Support
  • GCP Services

Module 4: Unstructured Data with Google’s Machine Learning APIs

  • Machine Learning APIs
  • Use Cases of ML
  • Adding Machine Learning Capabilities to Big Data

Module 5: Serverless Data Analysis with BigQuery

  • BigQuery Overview
  • Functions and Queries
  • Writing Queries in BigQuery

Module 6: Serverless, Autoscaling Data Pipelines with Dataflow

  • Beam Programming Model Overview
  • Data Pipelines
  • Writing a Dataflow Pipeline
  • Scalable Big Data Processing Using Beam
  • MapReduce in Dataflow
  • Phases in MapReduce in Dataflow
  • Steps of Dataflow
  • Incorporating Additional Data
  • Side Inputs in Apache Beam
  • Querying Multiple Tables

Module 7: Getting Started with Machine Learning

  • What is Machine Learning (ML)?
  • Types of Machine Learning
  • Explore and Create ML Datasets

Module 8: Building ML Models with TensorFlow

  • Understand TensorFlow
  • TensorFlow Graphs and Loops
  • Use Low-Level TensorFlow
  • Monitoring ML Training
  • Charts and Graphs of TensorFlow

Module 9: Scaling ML Models with CloudML

  • Cloud ML Overview
  • TensorFlow Model
  • Running of ML Model

Module 10: Architecture of Streaming Analytics Pipelines

  • Understand Stream Data Processing
  • Handling Variable Data Volumes
  • Designing a Streaming Pipeline

Module 11: Ingesting Variable Volumes

  • Cloud Pub/Sub Overview
  • Working of Cloud Pub/Sub

Module 12: Implementing Streaming Pipelines

  • Stream Processing Overview
  • Watermark
  • Triggers

Module 13: Streaming Analytics and Dashboards

  • Streaming Analytics Overview
  • Querying Streaming Data with BigQuery
  • Google Data Studio Overview

Module 14: High Throughput and Low-Latency with Bigtable

  • Cloud Spanner Overview
  • Designing Bigtable Schema
  • Ingesting into Bigtable
  • Streaming into Bigtable

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Who Should Attend this Data Engineering with Google Cloud Platform?

This training is a valuable resource for individuals seeking to enhance their data management and processing skills using Google Cloud Platform Services (GCP). The Data Engineering with Google Cloud Platform Course can benefit professionals such as:

  • Cloud Engineers
  • Data Engineers
  • BI Developers
  • ETL Developers
  • Data Managers
  • Data Architects
  • Big Data Engineers

Prerequisites for the Data Engineering with Google Cloud Platform

There are no formal prerequisites for this training course. However, prior experience with SQL, data modeling, ETL processes, Python, and familiarity with machine learning or statistics, along with completion of the Google Cloud Fundamentals course, would be beneficial.

Data Engineering with Google Cloud Platform Overview

Data Engineering with Google Cloud Platform focuses on designing and managing scalable data pipelines using Google Cloud services, covering data ingestion, transformation, automation, and governance to support reliable, data-driven decision-making.

Upskilling in this area strengthens your ability to handle large datasets efficiently, implement automated workflows, and maintain strong data governance practices. These skills are essential for organisations aiming to improve data quality, security, and operational efficiency.

This 2-Day course offered by The Knowledge Academy equips delegates with practical knowledge of Google Cloud tools used in modern data engineering.

Data Engineering with Google Cloud Platform Course Objectives

  • To understand the core concepts of Data Engineering on Google Cloud Platform
  • To learn to design and build data processing systems on the Google Cloud Platform
  • To gain proficiency in creating autoscaling data pipelines for both batch and streaming data using Cloud Dataflow
  • To explore the integration of Dataproc with the Google Cloud Platform for efficient data processing
  • To acquire the technical knowledge needed to work with unstructured data using Google's Machine Learning APIs
  • To develop the skills to design comprehensive data processing systems, construct end-to-end data pipelines, and analyse data and Machine Learning models

Upon completing the Data Engineering with Google Cloud Platform in Georgia, delegates will be well-equipped to design and implement data processing solutions on the Google Cloud Platform, thereby enhancing their career prospects in Data Engineering and Cloud Technology. Additionally, they will have the skills and knowledge to work with unstructured data and leverage Machine Learning models, making them valuable assets for organisations seeking data-driven insights.

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What's Included in this Data Engineering with Google Cloud Platform?

  • World-Class Training Sessions from Experienced Instructors
  • Data Engineering with Google Cloud Platform Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Networking in Google Cloud Platform Outline

Module 1: Google Cloud VPC Networking Fundamentals

  • Default, Auto, and Custom Networks
  • Understanding Networks and Subnets
  • IPv4 addresses
  • Cloud Domain Name System (DNS)
  • Creating Compute Engine Instances with IP Aliases
  • Creating Compute Engine Instances with Multiple Virtual Network Interfaces

Module 2: Controlling Access to VPC Networks

  • Understanding IAM Policies
  • Controlling Access to Network Resources
  • Controlling Access to Compute Engine Instances with Tag-Based Firewall Rules

Module 3: Sharing Networks Across Projects

  • Configuring Shared VPC
  • Differentiating IAM Roles
  • Configuring Peering Between Unrelated VPC Networks
  • Shared VPC and VPC Peering

Module 4: Load Balancing

  • Load Balancing Services
  • Explaining Layer 7 HTTP(S) Load Balancing
  • Cloud Armor and CDN
  • Configuring Internal Load Balancing

Module 5: Hybrid Connectivity

  • Hybrid Connectivity Overview
  • GCP Interconnect and Peering Services
  • Dedicated Interconnect and Partner Interconnect
  • VPN with Cloud Router
  • Direct and Partner Peering

Module 6: Network Design and Deployment

  • Network Design Patterns
  • Understanding the Deployment Manager
  • Explaining and Configuring Network Solutions

Module 7: Network Monitoring and Troubleshooting

  • Network Monitoring and Troubleshooting Overview
  • Configuring Uptime Checks, Alerting Policies, and Charts
  • Understanding VPC Flow Logs
  • Analysing Network Traffic

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Who should attend this Networking in Google Cloud Platform?

This course is designed for professionals seeking to enhance their skills in Networking in Google Cloud Platform.  It is particularly valuable for those involved in network management and cloud-based infrastructure. The course is ideal for:

  • Cloud Engineers
  • Network Engineers
  • Network Administrators
  • DevOps Engineers
  • Cloud Consultants
  • System Administrators
  • Solution Architects

Prerequisites for the Networking in Google Cloud Platform

There are no formal prerequisites for attending this training.

Introduction to Networking in Google Cloud Platform

This crucial course delves into the intricacies of establishing and maintaining robust network infrastructures within the Google Cloud ecosystem. In today’s digital age, where cloud computing forms the backbone of modern enterprises, understanding the networking fundamentals in Google Cloud is essential for ensuring performance, security, and scalability.

With an ever-increasing reliance on cloud infrastructure, a solid grasp of networking principles on GCP ensures optimal performance, security, and cost-efficiency. Network Engineers, Cloud Architects, and IT Administrators will find this course particularly invaluable, arming them with the skills to navigate the challenges of the cloud landscape confidently.

The 1-day Networking fundamentals in Google Cloud in Georgia offered by the Knowledge Academy is designed to empower delegates with comprehensive knowledge and hands-on experience in Google Cloud networking. It equips delegates with the necessary skills to configure and optimise network services, ensuring seamless connectivity and data transfer within Google Cloud.

Introduction to Networking in Google Cloud Platform Course Objectives

  • To comprehend the fundamental concepts of networking within the Google Cloud Platform
  • To enable delegates to configure and manage Virtual Private Clouds (VPCs) effectively, ensuring secure and efficient data transmission
  • To provide hands-on experience in setting up and optimising Google Cloud networking resources
  • To equip delegates with the knowledge and techniques necessary for load balancing and network scaling to meet varying demands efficiently
  • To foster an understanding of how to design and implement fault-tolerant, highly available network architectures within Google Cloud

Upon completing this Networking fundamentals in Google Cloud in Georgia, delegates will gain a competitive edge in the job market by acquiring valuable expertise in Google Cloud networking, significantly enhancing their career prospects. By undertaking this Networking in Google Cloud specialisation, delegates position themselves for advanced career opportunities in cloud infrastructure and network engineering. Additionally, they will earn a recognised certificate that showcases their commitment to mastering Google Cloud technology.

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 What's included in this Networking in Google Cloud Platform?

  • World-Class Training Sessions from Experienced Instructors
  • Networking in Google Cloud Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google BigQuery Course Outline

Module 1: Interacting with BigQuery

  • Introduction to BigQuery
  • BigQuery Sandbox and Web UI
  • Command-Line Tools
  • BigQuery Classic Web UI

Module 2: Running and Managing Jobs

  • Introduction
  • Running Jobs Programmatically
  • Managing Jobs

Module 3: Working with Datasets

  • Define Datasets
  • Dataset Locations
  • Creating and Copying Datasets
  • Controlling Access to Datasets
  • Listing Datasets
  • Updating Dataset Properties
  • Managing Datasets
  • Availability and Durability

Module 4: Working with Table Schemas

  • Specifying a Schema
  • Specifying Nested and Repeated Columns
  • Modifying Table Schemas
  • Manually Changing Table Schemas

Module 5: Working with Tables

  • Managing Tables and Table Data
  • Exporting Table Data
  • Updating Table Data Using DML

Module 6: Working with Partitioned Tables

  • What are Partitioned Tables?
  • Creating Ingestion-Time Partitioned Tables
  • Creating Date/Time Partitioned Tables
  • Managing and Querying Partitioned Tables
  • Using DML with Partitioned Tables

Module 7: Working with Clustered Tables

  • Define Clustered Tables
  • Creating and Using Clustered Tables

Module 8: Working with Views

  • Introduction to Views
  • Creating a View
  • Controlling Access to Views
  • Creating Authorised Views
  • Listing Views
  • Updating View Properties
  • Managing Views

Module 9: Labelling BigQuery Resources

  • Adding Labels
  • Viewing Labels
  • Updating Labels
  • Filtering Using Labels
  • Deleting Labels

Module 10: Loading Data into BigQuery

  • Loading Data from Cloud Storage
  • Loading Data from Local File

Module 11: Querying BigQuery Data

  • Running Interactive and Batch Queries
  • Writing Query Results
  • Using Cached Results
  • Querying Data Using a Wildcard Table
  • Saving and Sharing Queries
  • Scheduling Queries
  • Using the Query Plan Explanation

Module 12: Querying External Data Sources

  • Querying Cloud Bigtable
  • Querying Google Cloud Drive Data

Module 13: Controlling BigQuery Costs

  • Estimating Storage and Query Costs
  • Custom Cost Controls

Module 14: Securing BigQuery Resources

  • Encryption at Rest
  • Using Cloud DLP to Scan BigQuery Data

Module 15: BigQuery API Basics

  • Authentication
  • Batch Requests
  • Paging Through Tables
  • API Performance Tips

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Who Should Attend this Google BigQuery Course?

This training course is ideal for professionals who want to get better at Serverless Data Warehouse solutions through Google BigQuery. This course can benefit the following professionals:

  • Data Analysts
  • Data Engineers
  • Data Scientists
  • Database Administrators
  • Solution Architects
  • ETL Developers
  • Business Analysts

Prerequisites for the Google BigQuery Course

There are no formal prerequisites for this training course.

Introduction to Google BigQuery Course

Google BigQuery is a fully managed, serverless data warehouse designed for fast SQL-based analysis of large datasets, enabling organisations to process data at scale with seamless integration across Google Cloud services.

Upskilling in Google BigQuery strengthens your ability to analyse large datasets efficiently while maintaining performance, security, and cost control for data-driven decision-making.

This 2-Day course offered by The Knowledge Academy equips delegates with practical knowledge to query and manage data using Google BigQuery, helping them apply best practices confidently in real-world environments.

Google BigQuery Course Objectives

  • To achieve a comprehensive understanding of Google BigQuery and its integration with Google Cloud Platform
  • To effectively manage and execute jobs, work with datasets, and manipulate table schemas in BigQuery
  • To master the art of querying and analysing data within BigQuery, including external and federated data sources
  • To optimise costs and ensure robust resource security in BigQuery deployments
  • To implement efficient monitoring, logging, and utilisation of the BigQuery API for advanced data analytics

Upon completion of this Google BigQuery Course in Georgia, delegates will acquire the expertise needed to harness the full potential of Google BigQuery, enabling them to efficiently analyse and manage vast datasets within the Google Cloud Platform.

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What’s Included in this Google BigQuery Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google BigQuery Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Security Course Outline

Module: 1 Google Cloud Security Training

  • Google Cloud Security Training
  • Google Cloud Foundation Security Model
  • Google Cloud Foundation Design

Module: 2 Project Deployment

  • Project Labs
  • IAM Permissions
  • Google Cloud Platform Projects

Module: 3 APIs and Services

  • Understand Google Cloud APIs
  • Set Up API credentials
  • Manage API credentials

Module: 4 Cloud Storage

  • Creating Storage Buckets
  • Monitoring

Module: 5 Products and Solutions

  • Get All Products
  • Products by Categories
  • Jump Start Solutions

Module: 6 Cloud Security

  • Data Protection and Privacy
  • Network Security
  • Compliance and Governance

Module: 7 Firewall Rule

  • What is Firewall Rule?
  • Creating a New Firewall Rule

Module: 8 Understanding Best Practices

  • Security Best Practices and Checklists
  • Secure Configuration Management

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Who should attend this Google Cloud Security Training?

This training course is designed for those who want to get better at cloud-based security administration and management for the Google Cloud Platform (GCP). This course can especially be beneficial to the following professionals:

  • Cloud Security Professionals
  • IT Security Managers
  • System Administrators
  • Solution Architects
  • DevOps Engineers
  • Security Auditors
  • Network Administrators

Prerequisites for the Google Cloud Security Course

There are no formal prerequisites for this training course.

Google Cloud Security Course Overview   

The Google Cloud Security Training provides professionals with essential knowledge to secure Google Cloud environments and manage resource access. By this, delegates will be able to implement robust measures that protect data against evolving cyber threats. 

Delegates gain practical Skills in GCP’s security mechanisms, best practices, and tools to protect data, applications, and resources. It covers identity and access management, network infrastructure security, and data safeguarding.   

This is a 1‑Day course delivered by the Knowledge Academy, focusing on IAM, network security, storage, and database protection. With coverage from logging to encryption, it ensures delegates are well‑prepared to secure Google Cloud data effectively.   

Google Cloud Security Course Objectives

  • To comprehend the core fundamentals of Google Cloud Platform (GCP) for securing cloud environments
  • To master effective Identity and Access Management (IAM) techniques to safeguard valuable resources
  • To ensure the security of GCP network infrastructure and streamline firewall rule automation
  • To implement robust security measures to protect operating systems and data on GCP
  • To explore cloud storage IAM roles, database security, and GCP logging and monitoring
  • To achieve proficiency in encryption on Google Cloud Platform and effectively manage key management services

Upon completion of this Google Cloud Security Training, delegates will gain the expertise needed to secure Google Cloud environments effectively, enhancing their career prospects in IT and cloud computing. They will also be well-prepared to pursue advanced certifications on the Google Cloud, which are highly sought after in today's digital landscape.

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What’s Included in this Google Cloud Security Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Security Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google Search Appliance Fundamentals Course Outline

Module 1: Introduction of Google Search Appliance

  • Google Search Appliance
  • On-Board File System Crawling
  • On-Board Database Crawler
  • Google Apps Integration
  • What is Universal Search?
  • Providing Universal Search with a Google Search Appliance

Module 2: Setting Up

  • Installing and Configuring a Search Appliance
  • Configuring Search Appliances for Load Balancing or Failover
  • Administrator and Manager Accounts
  • Setting Up User Accounts

Module 3: Crawling

  • What Content is Not Crawled?
  • Configuring Crawl of Public Content
  • Configuring Crawl of Controlled-Access Content
  • Managing Serve of Controlled-Access Content
  • Crawling and Serving Controlled-Access Content

Module 4: Indexing

  • Indexing Content in Non-Web Repositories
  • Indexing Hard-to-Find Content
  • Indexing Database Content
  • Indexing Entities
  • Testing Indexed Content

Module 5: One Box

  • Overview
  • Steps to Define and Deploy a OneBox Module
  • Planning of OneBox
  • Defining a OneBox Module in the Admin Console
  • Defining a OneBox Module Using an XML Configuration File

Module 6: Search Experience

  • Using Features to Enhance the Search Experience
  • Forcing Specific Documents to the Top of Search Results
  • Grouping Search Results by Topic
  • Providing Options for Navigating Search Results
  • Displaying Expert Profiles with Search Results
  • Integrating Personal Content from Google Apps
  • Restricting Search and Influencing Results Rankings
  • Controlling Automatic Searching of Synonyms
  • Segmenting the Index
  • Providing User Results and Enabling User Alerts
  • Displaying Translations of Search Results
  • Showing Document Previews in Search Results
  • Enabling Wildcard Search
  • Customising the User Interface
  • Collecting Metrics about User Clicks

Module 7: Essentials

  • Using Language Options
  • Extending Universal Search
  • Monitoring a Search Appliance

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Who should attend this Google Search Appliance Fundamentals Course?

The Google Search Appliance Fundamentals Training is designed for professionals who want to get better at configuring, managing, and implementing Google Search Appliance (GSA) in their organisations. The Google Search Appliance Fundamentals Course can benefit individuals such as:

  • Search Administrators
  • Content Managers
  • Search Consultants
  • Search Developers
  • E-commerce Managers
  • Digital Librarians
  • Data Analysts

Prerequisites of the Google Search Appliance Fundamentals Course

There are no formal prerequisites for this Google Search Appliance Fundamentals Training.

Google Search Appliance Fundamentals Course Overview

The Google Search Appliance (GSA) was an integrated hardware and software solution developed by Google to provide document indexing functionality, allowing businesses to search corporate web applications, intranet content, and other data repositories within an organisation. This course provides essential insights into administering and customising the Google Search Appliance, focusing on document crawling, indexing, and content insertion via feeds and connectors.

Mastery of Google Search Appliance Fundamentals is essential for professionals seeking significant certifications on the Google Cloud. Anyone dealing with content management, search optimisation, or enterprise applications can greatly benefit from this course, making it a key asset for their career development. This training ensures that professionals are well-prepared to navigate the intricacies of Google Search Appliance and excel in Google Cloud Courses.

The Knowledge Academy's 2-day training in Google Search Appliance Fundamentals equips delegates with comprehensive knowledge and practical skills. They will learn about continuous crawling, front-end management, and integration of Onebox modules. Furthermore, delegates will gain expertise in feeds, content integration, and implementing security features like LDAP integration and forms authentication.

Google Search Appliance Fundamentals Course Objectives

  • To gain proficiency in administering the Google Search Appliance for effective content search and retrieval
  • To learn the intricacies of document crawling, indexing, and content insertion through feeds and connectors
  • To understand the implementation of Onebox modules, optimising the presentation of search results
  • To master the integration of feeds with content management systems, covering web, metadata, and content feeds
  • To acquire the skills to implement directory service (LDAP) integration for enhanced security
  • To develop expertise in forms authentication security within the Google Search Appliance environment

Upon completion of this course, delegates will have the expertise to maximise content search efficiency with the Google Search Appliance. Additionally, they'll be well-prepared to pursue more advanced certifications on the Google Cloud, opening new career opportunities.

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What’s included in this Google Search Appliance Fundamentals Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Search Appliance Fundamentals Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Developing Applications with Google Cloud Platform Outline

Module 1: Introduction to Google Cloud Platform

  • Introduction to Google Cloud Platform
  • Google Cloud Infrastructure
  • Google Cloud Platform Services
  • GCP Regions and Zones
  • Edge Caching
  • Cloud Content Delivery Network

Module 2: Setting Up Accounts and Billing

  • Google Cloud Platform Accounts
  • Billing Accounts
  • Projects
  • Admin Setup

Module 3: Networking

  • Google Cloud Platform Networks
  • Subnets
  • Routes
  • Firewall Rules
  • VMs in Networks
  • Add VMs, Explore the Default Network, and Test Connectivity

Module 4: Working with VM Instances

  • Google Compute Engine Machine Types
  • Instances
  • Persistent Disks
  • Local SSDs
  • Preemptible VMs
  • VM and Web App Deployment
  • Deploy VMs with an App by Console and Command-Line

Module 5: Scaling and Load Balancing Apps

  • Google Compute Engine Instance Templates
  • Manage Instance Groups and Load Balancing
  • Autoscaling and Load Balancing Setup

Lab: Scale and Load Balance Instances and Test Under Load

Module 6: Isolating Instances and Apps

  • 3-Tier Web App in GCP
  • Custom Network with Custom Subnets and Firewall Rules

Lab: Build 3-Tier Web App with Public Front-End and Private Backend

Module 7: Developing Application

  • Creating an Application in the App Engine Standard Environment
  • Running and Debugging an App Engine Standard Project Locally Inside Eclipse

Module 8: Using Storage as a Service and Database as a Service

  • Google Cloud Storage and Google Cloud SQL

Lab: Use Gsutil Command-Line Tool to Perform Operations on Buckets and Objects

Lab: Load and Analyse Data in BigQuery

Module 9: Deployment and Monitoring

  • Google Cloud Deployment Manager, Google StackDriver

Lab: Deploy Your Infrastructure Using Deployment Manager

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Who should attend this Developing Applications with Google Cloud Platform?

The training is suitable for anyone who wants to get better at software development, management, and deployment of applications while leveraging the Google Cloud Platform.  The Developing Applications with Google Cloud Platform Course can benefit the following professionals:

  • Search Administrators
  • Content Managers
  • Search Consultants
  • Search Developers
  • E-commerce Managers
  • Digital Librarians
  • Data Analysts

Prerequisites for the Developing Applications with Google Cloud Platform

There are no formal prerequisites for this training. To get the most out of it, delegates should have completed Google Cloud Platform Fundamentals or equivalent experience, along with working knowledge of Node.js and basic command-line and Linux proficiency.

Introduction to Developing Applications with Google Cloud Platform

Google Cloud Platform provides PaaS, IaaS, and serverless environments, making it ideal for modern application development. This course builds a strong foundation in essential GCP concepts and capabilities.

Understanding GCP is crucial for Developers, Application Designers, and Cloud Enthusiasts seeking to build scalable, secure, and intelligent cloud-native applications using Google’s high-availability infrastructure and advanced services.

The Knowledge Academy’s 2-day course teaches delegates to design, develop, and deploy applications using GCP services, Machine Learning APIs, and essential tools for storage, debugging, monitoring, and functions.

Developing Applications with Google Cloud Platform Course Objectives

  • To understand core Google Cloud products and their application development features
  • To design, build, and deploy secure, scalable cloud-based applications
  • To integrate APIs, data services, and machine learning tools
  • To apply DevOps principles and automate application deployment
  • To manage, monitor, and troubleshoot cloud applications effectively

Upon course completion, delegates will possess the skills to create advanced cloud-native applications using Google Cloud Platform, enhancing their career prospects. Additionally, they will be well-prepared to pursue more advanced certifications, further validating their expertise.

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What’s included in this Developing Applications with Google Cloud Platform?

  • World-Class Training Sessions from Experienced Instructors
  • Developing Applications with Google Cloud Platform Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Architecting with Google Compute Engine Outline

Module 1: Introduction to Compute Engine

  • What is Compute Engine?
  • Virtual Machine (VM) Instances
  • Instance Groups
  • Machine Type Families

Module 2: Images

  • Public Images
  • Custom Images
  • Image Families
  • HPC Images

Module 3: Create VM Instance

  • Create Windows Server Instances
  • Create VM Instance with Attached GPUs
  • Create HPC-Ready VMs
  • Create Arm VM
  • Create Spot VMs

Module 4: Create Custom Images

  • Create Custom Images
  • Create Windows BYOL Base Images
  • Create Custom Windows Server Images

Module 5: Migrate VMs

  • Choose Migration Path
  • Import Disks and Images
  • Move VM within Google Cloud

Module 6: Connect to VMs

  • Connect to VMs
  • Manage Access to VMs
  • Transfer Files to or from VMs
  • IP Addresses
  • Internal DNS
  • Create PTR Record for VM
  • Verify PM Identity

Module 7: Manage Storage

  • Storage Options
  • Disk Encryption and Security
  • Persistent Disks
  • Local SSD

Module 8: Backup and Restore

  • Data Protection Options
  • Back Up VMs
  • Back Up Disks
  • Restore from Backup

Module 9: Manage VMs

  • Basic Operations and Lifecycle
  • Update VM Tenancy
  • Manage Group of VMs
  • VM Host Events
  • Manage Metadata
  • Securing VMs

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Who Should Attend this Architecting with Google Compute Engine?

The Google Cloud Compute Engine Training is suitable for anyone who wants to get better at Google Cloud Platform’s Compute Engine service as it provides a virtual machine and scalable compute resources. The Google Cloud Compute Engine Course can benefit the following professionals:

  • Cloud Architects
  • System Administrators
  • DevOps Engineers
  • Solution Architects
  • Technical Managers
  • Infrastructure Engineers
  • Network Engineers

Prerequisites for the Architecting with Google Compute Engine

There are no formal prerequisites for this training.  However, completing the Google Cloud Platform Fundamentals: Core Infrastructure course or having equivalent experience is recommended. Familiarity with Linux, command-line tools, and basic system operations is also beneficial.

Introduction to Architecting with Google Compute Engine

Google Cloud Compute Engine supports scalable workloads with custom virtual machines, networking, and automated management. It is suited for modern applications and enterprise solutions.

Upskilling through this course helps professionals build in demand cloud skills, create and manage VMs, deploy containers, optimise costs, and scale infrastructure confidently on Google Cloud.

The Knowledge Academy’s 2-Day course builds real world cloud skills, giving learners hands on experience in managing virtual machines, migrating workloads, and automating operations.

Introduction to Architecting with Google Compute Engine Course Objectives

  • To create and manage virtual machines and instance groups effectively
  • To build, customise, and share VM images across Google Cloud projects
  • To migrate workloads and optimise performance using Compute Engine tools
  • To configure networking, storage, and security for scalable deployments
  • To gain hands-on skills that support real-world cloud infrastructure tasks

Upon completing this Architecting with Google Compute Engine Training, delegates will gain the expertise needed to excel in cloud computing, opening doors to exciting career opportunities in the tech industry. Additionally, they will be better equipped to obtain more advanced certifications, demonstrating their proficiency in using Google Cloud Platform to potential employers and clients.

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What’s Included in this Architecting with Google Compute Engine?

  • World-Class Training Sessions from Experienced Instructors
  • Architecting with Google Compute Engine Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Storage Training Outline

Module 1: Introduction to Google Cloud Storage

  • What is Cloud Storage?
  • How Cloud Storage Works
  • Advantages and Disadvantages
  • Types of Cloud Storage
  • Storage Classes Overview

Module 2: Creating and Managing Storage Buckets

  • Creating Storage Buckets
  • Bucket Locations and Storage Classes
  • Changing Default Storage Class
  • Listing and Managing Buckets
  • Bucket Metadata, Tags, and Labels
  • Moving, Renaming, and Deleting Buckets

Module 3: Uploading, Downloading, and Managing Objects

  • Uploading and Downloading Objects
  • Composite Objects
  • Changing Object Storage Class
  • Object Metadata
  • Copying, Renaming, and Moving Objects
  • Caching and Object Transcoding

Module 4: Data Lifecycle Management and Object Security

  • Controlling Data Lifecycles
  • Object Lifecycle Management Features
  • Autoclass and Versioning Features
  • Access Control Mechanisms
  • Managing IAM Roles and Permissions

Module 5: Project and Key Management in Cloud Storage

  • Managing Projects and Folders
  • HMAC Keys and Access Controls
  • Using Audit Logs for Monitoring
  • Insights and Performance Optimization

Module 6: Advanced Cloud Storage Integrations and Best Practices

  • Cloud Storage FUSE Overview
  • Mounting Buckets and Performance Considerations
  • Integrations with Compute Engine & BigQuery
  • Backup and Disaster Recovery Best Practices
  • Cost Optimisation Strategies

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Who should attend this Google Cloud Storage Training?

The Google Cloud Storage Course is designed for those who want to get better at Google Cloud Platform’s data storage and management operations. The training course can benefit professionals such as:

  • Cloud Architects
  • System Administrators
  • Data Engineers
  • Cloud Operations Engineers
  • Business Analysts
  • Data Managers
  • DevOps Engineers

Prerequisites for the Google Cloud Storage Training

There are no formal prerequisites for this Google Cloud Storage Course.

Introduction to Google Cloud Storage Training

Google Cloud Storage Training is a critical course for individuals seeking expertise in harnessing the power of Google Cloud for storage. Google Cloud Storage offers highly available managed cloud storage, making it a versatile tool for serving website content, data archiving, disaster recovery, and the distribution of large data objects. This training delves into the intricacies of Google Cloud Storage, providing a solid foundation for leveraging its capabilities.

Mastery of Google Cloud Storage is imperative in today's technology-driven world. With businesses and organisations relying on the cloud to store, manage, and access data, individuals proficient in Google Cloud Storage are in high demand. This course is essential for IT Professionals, System Administrators, Cloud Architects, and Developers who need to manage and optimise data storage solutions.

The Knowledge Academy's 1-Day training is a compact, yet comprehensive course designed to empower delegates with in-depth knowledge and practical skills. Delegates will gain a thorough understanding of Google Cloud Storage, including storage classes and buckets, access control, encryption options, and authentication.

Introduction to Google Cloud Storage Training Course Objectives

  • To provide delegates with a comprehensive understanding of Google Cloud Storage
  • To familiarise delegates with the key terminology and concepts related to Google Cloud Storage
  • To enable delegates to effectively utilise storage classes and buckets within the Google Cloud Platform
  • To educate delegates on access control mechanisms and strategies for securing data in Google Cloud Storage
  • To instruct delegates on the various encryption options and key concepts for data protection within the cloud
  • To empower delegates with the knowledge and skills to proficiently navigate and utilise the Google Cloud Platform user interface for storage management

After the course completion, delegates will adeptly navigate the Google Cloud Compute Engine ecosystem, mastering the deployment and management of virtual machine instances. Using tools like Google Cloud Shell, they will also gain proficiency in optimising resource utilisation, ensuring cost-effective and efficient cloud operations.

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What’s included in this Google Cloud Storage Training?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Storage Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Developing with Google App Engine Course Outline

Module 1: Runtime Environment

  • Overall Architecture
  • Available Runtimes and Services
  • Structure of an Application
  • Writing and Deploying a Simple Application

Module 2: Handling Web Requests

  • Request Handling
  • Rendering Templates
  • Serving Static Resources
  • Web Frameworks

Module 3: Understanding the Datastore

  • BigTable
  • How Data is Sorted?
  • Scanning BigTable to BigData

Module 4: Data Modelling, Queries, Indexes, and Transactions

  • Data Modelling Language
  • Model and Data Modelling
  • Data Querying
  • Query API

Module 5: Integrating Search and Task Queues

  • Background
  • Underlying Principle
  • Indexing Data, Queries, Sorting, Pagination, and Facets
  • Queue, Need to Queue Things, and Pull Queues

Module 6: Reaching Out and Sending E-Mails

  • E-Mails
  • Sending E-Mails
  • Receiving E-Mails

Module 7: Working with the Google App Engine Services

  • MemCache
  • Multi- Tenancy
  • Blobs
  • Users
  • Images

Module 8: Application Deployment

  • Deployment Configurations
  • Scaling Types
  • Dispatch.yaml File
  • Schedule Tasks
  • AppStats

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Who should attend this Developing with Google App Engine Course?

The Developing with Google App Engine Course is designed for those who want to get better at application development and deployment while using the Google App Engine. The Developing with Google App Engine Training Course can benefit professionals such as:

  • Application Developers
  • Web Developers
  • Cloud Developers
  • Full Stack Developers
  • Product Managers
  • Backend Developers
  • DevOps Engineers

Prerequisites for the Developing with Google App Engine Course

There are no formal prerequisites for this Developing with Google App Engine Training Course.

Introduction to Developing with Google App Engine Course Overview

The Google App Engine offers a fully managed serverless platform for building and deploying applications. Tailored for developers, it abstracts infrastructure management tasks, enabling them to focus solely on writing code. This Platform-as-a-Service (PaaS) solution automates scaling, updates, and monitoring, making application development both seamless and efficient.

In this course, delegates will grasp the intricacies of the App Engine's runtime environment, including its overarching architecture and the structuring of applications. They will become adept at handling web requests, from rendering templates to utilising web frameworks, and gain deep insights into the powerful Datastore. They will also master the art of creating, querying, and indexing data.

This 1-day Developing with Google App Engine Course provided by The Knowledge Academy equips delegates with the capabilities to integrate search functionalities, manage task queues, and effectively handle email communications. Furthermore, they will gain expertise in leveraging various App Engine services, like MemCache, Blobs, and Multi-Tenancy.

Course Objectives

  • To comprehend the foundational architecture of Google App Engine, including available runtimes, services, and the structure of applications
  • To develop proficiency in handling web requests, encompassing request handling, template rendering, serving static resources, and leveraging web frameworks
  • To gain a deep understanding of the App Engine Datastore, including the mechanics of BigTable, data sorting techniques, and transitioning from BigTable to BigData
  • To master data modelling within App Engine, becoming proficient in the Data Modeling Language, query formulation, and the intricacies of the Query API
  • To seamlessly integrate search capabilities and manage task queues, encompassing data indexing, query sorting, and more

At the end of this Developing with Google App Engine Training, delegates will have cultivated a multifaceted skill set essential for efficient application development on this platform. They will be proficient in deployng applications, understanding diverse scaling methods, and harnessing tools like the dispatch.yaml file and AppStats for refined application management.

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 What's included in this Developing with Google App Engine Course?

  • World-Class Training Sessions from Experienced Instructors
  • Developing with Google App Engine Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Dataflow Training Outline

Module 1: Overview of Cloud Dataflow

  • Introduction
  • Run a Java Pipeline
  • Run a Python Pipeline
  • Run a Go Pipeline
  • Run a Streaming Pipeline from a Template

Module 2: Build Pipelines

  • Use Apache Beam
  • Use Templates
  • Use Notebooks
  • Common Pipeline Patterns
  • Use Dataflow SQL

Module 3: Run Pipeline

  • Deploy Pipelines
  • Configure Pipeline Options
  • Use Dataflow GPUs
  • Use Arm VMs
  • Use Custom Containers
  • Regional Endpoints

Module 4: Monitor

  • Use the Monitoring UI
  • Use the Command Line Interface
  • Use Cloud Monitoring
  • Use Cloud Profiler
  • Sample Pipeline Data
  • Work with Audit Logs
  • Control Log Ingestion

Module 5: Optimise

  • Use Flexible Resource Scheduling
  • Horizontal Autoscaling
  • Dynamic Thread Scaling
  • Dynamic Work Rebalancing
  • Dataflow Insights
  • Use Streaming Engine for Streaming Jobs
  • Use Dataflow Shuffle for Batch Jobs
  • Use Dataflow Runner
  • Use Dataflow Prime
  • Use Computer Engine Reservations

Module 6: Manage

  • Update an Existing Pipeline
  • Stop a Running Pipeline
  • Request Quotas
  • Use Dataflow Snapshots
  • Work with Data Pipelines
  • Use Eventarc to Manage Dataflow

Module 7: Dataflow Development Guide

  • Pipeline Lifecycle
  • Design Considerations
  • Plan Data Pipelines
  • Develop and Test Pipelines
  • Design Pipeline Workflows
  • Data Representation in Streaming Pipeline

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Who should attend this Google Cloud Dataflow Training?

The course is suitable for individuals who want to improve their skills in developing robust data processing pipelines while using Google Cloud Dataflow.  This Course can benefit professionals such as:

  • Data Engineers
  • Data Scientists
  • Software Developers
  • Cloud Developers
  • Data Architects
  • Solution Architects
  • ETL Developers

Prerequisites for the Google Cloud Dataflow Training

There are no formal prerequisites for this Google Cloud Dataflow Course.

Introduction to Google Cloud Dataflow Training

Google Cloud Dataflow is a powerful, serverless tool within the Google Cloud Platform that enables real-time and batch data processing with high scalability. It simplifies the complexity of data engineering by allowing users to build pipelines using the Apache Beam SDK. As organisations increasingly rely on data for decision-making, mastering Dataflow becomes essential for streamlining analytics workflows.

Understanding how to process and manage large datasets efficiently is a must-have skill for today’s data professionals. Data Engineers, Developers, and Cloud Enthusiasts can leverage Dataflow to handle diverse workloads, including ETL, real-time analytics, and machine learning pipelines. With the rise in demand for scalable data solutions, proficiency in Cloud Dataflow offers a strong competitive edge.

This 1-Day Google Cloud Dataflow Training in Georgia by The Knowledge Academy equips delegates with practical skills to create, deploy, and manage data pipelines. It covers migration from App Engine MapReduce, setting up internet access and firewall rules, and using Cloud Pub/Sub seek. The course is designed to provide hands-on experience in solving real-world data challenges using Cloud Dataflow.

Introduction to Google Cloud Dataflow Training Course Objectives

To enable delegates to understand the fundamentals of Cloud Dataflow and its role in transforming data in both batch and streaming modes

  • To equip delegates with the skills to create, deploy, and manage data processing pipelines using Google Cloud Dataflow
  • To provide hands-on experience in troubleshooting and updating existing data processing pipelines
  • To instruct delegates on the use of Google-provided templates for efficient pipeline creation and execution
  • To teach delegates how to configure internet access and firewall rules for secure and optimised data processing
  • To empower delegates to utilise cloud pub/sub seek with Cloud Dataflow and create Cloud Dataflow SQL jobs for advanced data processing capabilities

Upon completion of this Google Cloud Dataflow Course in Georgia, delegates will gain the expertise to harness the full potential of Cloud Dataflow, empowering them to efficiently process data in both batch and streaming modes. This knowledge will open new career opportunities and make them valuable assets in Data Engineering, Analytics, and Cloud Computing roles, further enhancing their professional growth.

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What’s included in this Google Cloud Dataflow Training?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Dataflow Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Spanner Training Course Outline

Module 1: Overview of Google Cloud Spanner

  • Introduction
  • Features
  • Foundations of Data Management

Module 2: Work with Instances

  • Overview of Instances
  • Compute Capacity, Nodes, and Processing Units
  • Regional and Multi-Region Configurations
  • Replication
  • Autoscaling Instance

Module 3: Work with Databases

  • Overview
  • Create and Manage Databases
  • Create a Cloud Spanner Database

Module 4: Connect

  • Using Spanner in a Virtual Machine Instance
  • Connect psql to a PostgreSQL Dialect Database
  • Connect Cloud Spanner with a Google Kubernetes Engine (GKE) Cluster
  • Connect to Cloud Spanner from Other Google Cloud Services

Module 5: Backup and Restore

  • Introduction
  • Key Features
  • Choose Between Backup and Restore or Import and Export
  • Create a Backup
  • Copy Backup
  • Restore from a Backup
  • Backup and Restore Databases with the Google Cloud Console

Module 6: Secure

  • Access Control with IAM
  • Fine-Grained Access Control
  • Data Encryption

Module 7: Design and Develop

  • Design a Database Schema
  • Use Transactions
  • Read Data
  • Modify Data
  • Work with Data Types

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Who should attend this Google Cloud Spanner Training Course?

The Google Cloud Spanner Course is aimed at professionals who want to get better at managing databases with the Google Cloud Spanner. The Google Cloud Spanner Training Course can benefit the following professionals:

  • Database Administrators
  • Database Engineers
  • Solution Architects
  • Cloud Architects
  • DevOps Engineers
  • Data Architects
  • Database Analysts

Prerequisites for the Google Cloud Spanner Training

There are no formal prerequisites for this Google Cloud Spanner Course.

Introduction to Google Cloud Spanner Training

Google Cloud Spanner Course is essential for professionals looking to harness the full potential of Google Cloud. As a scalable, globally distributed, and strongly consistent database service, Cloud Spanner marries the advantages of relational database structures with non-relational horizontal scalability. This training equips organisations to streamline global online transaction processing, leverage SQL semantics, and maintain transactional consistency.

Understanding Google Cloud Spanner is crucial for anyone aiming to master the intricacies of the Google Cloud Platform. As the cloud computing landscape evolves, Google Cloud Certifications have become more relevant than ever. IT Professionals, Developers, and Data Engineers can greatly benefit from this course to enhance their Google Cloud skills and further their careers.

In this 1-day Google Cloud Spanner Training Course offered by the Knowledge Academy, delegates will gain a holistic understanding of how to design, deploy, and manage globally distributed databases using Google Cloud Spanner. They will also acquire the knowledge and skills necessary to develop cloud-native applications that seamlessly handle real-time data across different regions.

Introduction to Google Cloud Spanner Course Objectives

  • To understand the architecture and key features of Google Cloud Spanner
  • To learn how to create and manage Spanner instances, databases, and tables
  • To design and implement the database schema for Cloud Spanner
  • To optimise and tune Cloud Spanner for performance and scalability
  • To integrate Cloud Spanner with other Google Cloud Platform services
  • To use Cloud Spanner for enterprise-scale applications and use cases

After attending the Google Cloud Spanner Training, the delegates will be able to control the replication and placement of data using automatic multi-site replication and failover. They will also be able to create and manage Cloud Spanner databases and instances, as well as optimise performance, integrate with other GCP services, and build real-time cloud-native applications.

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What’s included in this Google Cloud Spanner Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Spanner Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Firestore Training Outline

Module 1: Introduction to Firestore

  • What is Cloud Firestore?
  • How Does it Work?
  • Key Capabilities
  • Features of Firestore

Module 2: Managing Data

  • Adding Data
  • Deleting Data
  • Transactions and Batched Writes
  • Enabling Offline Data
  • Exporting and Importing Data
  • Manage Data Retention with Time-to-Live Policies
  • Process Data in Bulk with Dataflow
  • Moving Data Between Projects

Module 3: Querying Data

  • Getting Data
  • Getting Real-time Updates
  • Querying and Filtering Data
  • Ordering and Limiting Data
  • Counting Documents with Aggregation Queries
  • Paginating Data with Query Cursors
  • Managing Indexes

Module 4: Securing Data for Mobile/Web Clients

  • Getting Started with Security Rules
  • Structuring Security Rules
  • Writing Conditions for Security Rules
  • Securely Querying Data
  • Controlling Access Per Field
  • Fixing Insecure Rules
  • Testing Security Rules
  • Securing Data Access for Users and Groups

Module 5: Solutions

  • Managing Firestore with the Console
  • Emulate Firestore Locally
  • Monitor Usage

Module 6: Use Key Visualiser

  • Overview of Key Visualiser
  • Get Started with Key Visualiser
  • Explore Heatmaps
  • Heatmap Patters for Document Keys

Module 7: Create Event-driven Architectures with Eventarc

  • Overview
  • Extend Firestore with Cloud Functions
  • Extend Firestore with Cloud Run
  • Extend Firestore with Google Kubernetes Engine
  • Extend Firestore with Workflows
  • Configure Data Locality with Regional Endpoints

Module 8: Backup and Restore

  • Disaster Recovery Planning
  • Schedule Backups and Restore Data
  • Point-in-Time Recovery (PITR) Overview
  • Work with Point-in-Time Recovery (PITR)

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Who should attend this Google Cloud Firestore Training?

The Google Cloud Firestore Course is suitable for range of individuals who want to get better at managing the NoSQL Database since Google Cloud Firestore provides flexibility and scalability. The Google Cloud Firestore Training Course can benefit professionals such as:

  • Database Developers
  • Software Engineers
  • Front End Developers
  • Full Stack Developers
  • Solution Architects
  • DevOps Engineers
  • Database Administrators

Prerequisites for the Google Cloud Firestore Training

There are no formal prerequisites for this Google Cloud Firestore Course.

Introduction to Google Cloud Firestore Training

Google Cloud Firestore Course introduces delegates to a fully managed database service on the Google Cloud Platform. It offers remarkable scalability and stands out due to its unique approach to data object relationships. Built on Google's Bigtable and Megastore technology, it excels in automatic scaling, high performance, and seamless application development.

By undertaking a Google Cloud Firestore Training Course, professionals can harness Firestore's capabilities, which include real-time data synchronisation, offline data access, and seamless scaling. Developers, Database Administrators, and IT Architects stand to benefit immensely from this course, as understanding Firestore can elevate the performance, reliability, and scalability of their projects.

This 1-day Google Cloud Firestore Training Course by the Knowledge Academy equips delegates with a comprehensive understanding of Cloud Datastore and all its essential components. Delegates will delve into the intricacies of Google Cloud Firestore, gaining insights into entities, properties, keys, database queries, indexes, transactions, and error handling. Upon course completion, delegates will adeptly use Google Cloud Firestore to develop robust, scalable applications with data integrity.

Introduction to Google Cloud Firestore Training Course Objectives

  • To provide a foundational understanding of Google Cloud Firestore
  • To teach delegates to design and manage databases effectively using Cloud Firestore
  • To equip delegates with the skills to develop cloud-native applications for real-time data handling
  • To instruct delegates on the principles of data analytics and transaction management in Cloud Firestore
  • To ensure delegates can proficiently create and manage indexes and transactions in Firestore's datastore mode
  • To enable delegates to handle errors and ensure the reliable functionality of Google Cloud Firestore

Upon completion of this Google Cloud Firestore Training Course, delegates will gain the expertise to harness the full potential of Google Cloud Firestore, enabling them to develop high-performance, scalable applications. Additionally, they will be well-prepared to pursue more Google Cloud Certifications, opening doors to lucrative career opportunities in the Cloud Computing industry.

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What’s included in this Google Cloud Firestore Training?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Firestore Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Big Data and Machine Learning Fundamentals Certification Outline

Module 1: Introduction to Google Cloud Platform

  • Google Platform Fundamentals Overview
  • Google Cloud Platform Big Data Products

Module 2: Compute and Storage Fundamentals

  • CPUs on Demand (Compute Engine)
  • Global Filesystem (Cloud Storage)
  • CloudShell
  • Lab: Set Up an Ingest Transform Publish Data Processing Pipeline

Module 3: Data Governance and Security

  • Importance of Data Governance
  • Data Security Best Practices
  • Compliance and Regulatory Considerations
  • Data Encryption and Access Controls
  • Monitoring and Auditing Data Access
  • Lab: Implementing Data Governance and Security

Module 4: Data Analytics on the Cloud

  • Stepping-Stones to the Cloud
  • Cloud SQL: Your SQL Database on the Cloud
  • Spark on Dataproc

Module 5: Scaling Data Analysis

  • Fast Random Access
  • Datalab
  • Lab: Build a Machine Learning Dataset

Module 6: Machine Learning

  • Introduction to TensorFlow Datasets
  • Pre-built Models for Common Needs

Module 7: Data Processing Architectures

  • Message-Oriented Architectures with Pub/Sub
  • Reference Architecture for Real-Time and Batch Data Processing

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Who should attend this Google Cloud Platform Big Data and Machine Learning Fundamentals?

The Google Cloud Platform Big Data and Machine Learning Fundamentals is designed for those who want to get better at implementing Machine Learning and Big Data concepts through the Google Cloud Platform. The Big Data and Machine Learning with Google Cloud Platform Course can benefit the following professionals:

  • Data Engineers
  • Data Scientists
  • Data Analysts
  • Business Analysts
  • Solution Architects
  • System Engineers
  • Database Administrators

Prerequisites for the Google Cloud Platform Big Data and Machine Learning Fundamentals 

There are no formal prerequisites for this certification course.

Introduction to Google Cloud Big Data and Machine Learning Fundamentals Certification

This is a comprehensive course that introduces delegates to the powerful capabilities of Google Cloud Platform in handling Big Data and Machine Learning. In today's data-driven world, this subject is of utmost relevance, offering professionals the tools and knowledge they need to leverage Google Cloud's extensive resources effectively.

Professionals across various industries, particularly those in Data Analysis, Machine Learning, and Cloud Computing, should aim at mastering this course. It equips delegates with the tools and knowledge to navigate Google Cloud's comprehensive suite of Big Data and Machine Learning services, enabling the processing, analysis, and interpretation of complex datasets with efficiency and precision.

This 1-day Google Cloud Big Data and Machine Learning Fundamentals Certification is delivered by the Knowledge Academy equips delegates with the practical skills and insights required to excel in the world of Big Data and Machine Learning with Google Cloud Platform. Delegates will gain hands-on experience in data processing, Machine Learning, and the creation of data processing architectures.

Introduction to Google Cloud Big Data and Machine Learning Fundamentals Certification Course Objectives

  • To teach delegates how to set up data processing pipelines for ingesting, transforming, and publishing data
  • To enable delegates to import data into cloud SQL, run queries, and make machine learning recommendations using Spark on Dataproc
  • To instruct delegates on fast random access, Datalab, and BigQuery for efficient data handling
  • To empower delegates to create machine learning datasets and implement machine learning models using TensorFlow

After completing this Google Cloud Big Data and Machine Learning Fundamentals certification course, delegates will gain a competitive edge in their careers, equipped with practical skills in this training, making them valuable assets to their organisations. Additionally, they will be well-prepared to pursue Google Cloud Certifications, further advancing their professional development and increasing their job prospects in the data and Machine Learning field.

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What's included in this Google Cloud Platform Big Data and Machine Learning Fundamentals​?

  • Big Data and Machine Learning with Google Cloud Platform Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Bigtable Training​ Course Outline

Module 1: Get Started with Cloud Bigtable

  • Bigtable Overview
  • Instances, Clusters and Nodes
  • Get Started with the Client Libraries
  • Install the Google Cloud CLI

Module 2: Provision and Manage

  • Create and Modify Instances
  • Create and Manage Table
  • Replication
  • Backup and Restore
  • Create and Manage Instance Labels

Module 3: Develop

  • Schema Design
  • Data Requests
  • Garbage Collection
  • App Profile
  • Use the HBase API
  • Use Emulator
  • Dataflow Templates

Module 4: Monitor and Troubleshoot

  • Understand Performance
  • Monitoring
  • Matrices
  • ClientSide Metrics
  • Use Key Visualiser
  • Hot Table
  • Table Stats
  • Get Queries Stats
  • Connection Pool
  • Configure Connection Pool
  • Create a Test Table

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Who should attend this Google Cloud Bigtable Training Course?

The Google Cloud Bigtable Course is designed for individuals who want to get better at NoSQL Database operations via the Google Cloud Bigtable. The Google Cloud Bigtable Training Course can benefit the following professionals:

  • Data Engineers
  • Database Engineers
  • Database Administrators
  • Database Developers
  • Solution Architects
  • Big Data Analysts
  • Infrastructure Managers

Prerequisites of the Google Cloud Bigtable Training Course

There are no formal prerequisites for this Google Cloud Bigtable Course.

Introduction to Google Cloud Bigtable Training Course

Google Cloud Bigtable Training is a critical course for professionals seeking to harness the power of Google's NoSQL, fully managed database service. In today's data-driven world, efficient data management is paramount, and Google Cloud Bigtable stands out as a solution for managing and scaling databases. With the capability to store massive amounts of data while maintaining low latency, Google Cloud Bigtable is highly relevant in the context of modern data handling.

Professionals across various domains, including Data Engineers, Cloud Architects, and Developers, should aspire to master Google Cloud Bigtable. This subject is of utmost importance because it equips delegates with the expertise needed to efficiently design databases, manage instances, and handle data storage.

The 1-day Google Cloud Bigtable Training offered by the Knowledge Academy is designed to empower delegates with comprehensive knowledge, practical skills, and insights into database schema design, time-series data storage, instance creation, and data management strategies. From selecting data storage options to handling labels and monitoring, delegates will acquire hands-on experience.

Introduction to Google Cloud Bigtable Training Course Objectives

  • To provide an in-depth understanding of Google Cloud Bigtable's core concepts and features
  • To enable delegates to design effective database schemas for Google Cloud Bigtable
  • To teach delegates how to efficiently store and manage time-series data using Google Cloud Bigtable
  • To equip professionals with the skills to create, configure, and manage instances within Google Cloud Bigtable
  • To familiarise attendees with best practices for data storage, labeling, and monitoring in Google Cloud Bigtable
  • To enable delegates to troubleshoot and resolve real-time issues encountered when working with Google Cloud Bigtable

Upon completing this course, delegates will gain the expertise to confidently work with Google Cloud Bigtable, making them valuable assets in the ever-evolving field of data management and cloud technology. With their newly acquired knowledge and hands-on skills, they'll be well-prepared to excel in their careers and solve complex data management challenges.

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What’s included in this Google Cloud Bigtable Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Bigtable Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Python with Google Cloud Platform Training Course Outline

Module 1: Introduction to Python and Google Cloud Platform

  • Introduction to Python Programming
  • Setting up Python Environment
  • Overview of Google Cloud Platform (GCP)
  • Navigating the GCP Console

Module 2: Python Fundamentals

  • Variables and Data Types in Python
  • Control Structures
  • Functions and Modules
  • Exception Handling in Python
  • Working with Lists, Dictionaries, and Sets

Module 3: Google Cloud Storage with Python

  • Introduction to Google Cloud Storage
  • Uploading and Downloading Files to/from GCS
  • Managing GCS Buckets and Objects
  • Using Python Libraries for GCS

Module 4: Data Processing with Python and GCP

  • Introduction to Data Processing on GCP
  • Analysing Data with BigQuery

Module 5: Python and GCP Machine Learning Services

  • Introduction to Machine Learning on GCP
  • Building Machine Learning Models with Python
  • Deploying Models with AI Platform
  • Model Monitoring and Management
  • Using Auto ML for Model Development

Module 6: Building Web Applications with Python and GCP

  • Introduction to Web Application Development
  • Scaling and Monitoring Web Applications

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Who should attend this Python with Google Cloud Platform Training Course?

The Python with Google Cloud Platform Course is suitable for those who want to get better at Python programming and its implementations in application development through the Google Cloud Platform. This course can benefit professionals such as:

  • Software Developers
  • Application Developers
  • Web Developers
  • API Developers
  • Data Scientists
  • Machine Learning Engineers
  • Data Scientists

Prerequisites of the Python with Google Cloud Platform Training Course

There are no formal prerequisites for this Python with Google Cloud Platform Course.

Python with Google Cloud Platform Training Course Overview

Python with Google Cloud Platform is a training course that explores the synergy between the popular programming language Python and the versatile Google Cloud Platform. By combining Python with Google Cloud Platform, developers can harness the platform's robust capabilities while capitalising on Python's flexibility and ease of use.

Mastery of Python with Google Cloud Platform is crucial for professionals in the tech industry. This course equips delegates with skills that are highly sought after in the current job market. It empowers Developers, Data Analysts, and Web Developers to create and deploy applications efficiently. Furthermore, IT Leaders, Business Analysts, and Product Managers can benefit from understanding the potential of Big Data and Machine Learning, ensuring their organisations remain at the forefront of innovation.

The Knowledge Academy's 1-day Python with Google Cloud Platform Course is a fast-track opportunity for delegates to acquire comprehensive knowledge about the subject and delve into essential aspects like Python installation, libraries, performance optimisation, debugging, and deployment options. The course is led by expert trainers with extensive teaching experience.

Python with Google Cloud Platform Training Course Objectives

  • To provide delegates with a fundamental understanding of Python and its applications in the Google Cloud Platform
  • To equip delegates with the skills required to install and import Python libraries effectively
  • To guide delegates in optimising the performance of Python applications on Google Cloud Platform
  • To teach debugging techniques and how to troubleshoot common issues encountered during development
  • To offer an overview of the different deployment options available for Python applications in Google Cloud

By the end of this training, delegates will be well-prepared to harness the full potential of Python with Google Cloud Platform, enabling them to create scalable and reliable cloud-based applications.

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What’s included in this Python with Google Cloud Platform Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Python with Google Cloud Platform Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Training Outline

Module 1: Introduction to Google Cloud Platform

  • What is Google Cloud Platform?
  • What is Cloud Computing?
  • Why Use Google Cloud Platform?
  • Google Cloud Platform Components

Module 2: Compute Engine and Virtual Machines

  • Compute Engine
  • Choosing Right Virtual Machine Type
  • VM Migration to Compute Engine
  • Genomics Data Processing

Module 3: Google Kubernetes Engine (GKE)

  • GKE Overview
  • Benefits of GKE
  • How GKE Works?
  • Kubernetes Versions and Features

Module 4: Storage Solutions in GCP

  • Introduction
  • Various Storage Option Provided by GCP
  • Choosing Among Cloud Storage Classes
  • Key Features of Cloud Storage Classes

Module 5: Google Cloud Identity and Access Management (IAM)

  • IAM Overview
  • How IAM Works?
  • Principles of Identity
  • Entities Involved in Authorisation Process
  • IAM Support for Google Cloud Services
  • Consistency Model for the IAM API

Module 6: Google Cloud Security and Compliance

  • Google Cloud Security
  • Critical Components of Google Cloud Architecture
  • Understanding the Shared Responsibility Model
  • Challenges to Implementing Google Cloud Security Measures
  • Role of Compliance in Google Cloud Security
  • Empower Google Cloud Defenders with Context and Prioritisation

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Who should attend this Google Cloud Training Course?

The Google Cloud Course in Georgia is designed for professionals who want to improve their skills in building and managing cloud-based applications via the Google Cloud Platform. This course can benefit professionals such as:

  • Cloud Architects
  • Cloud Engineers
  • DevOps Engineers
  • System Administrators
  • Database Administrators
  • Data Engineers
  • Data Scientists

Prerequisites for the Google Cloud Training Course

There are no formal prerequisites for this Google Cloud Course.

Introduction to Google Cloud Training

Google Cloud Certification is essential for individuals and organisations looking to harness the power of Google Cloud Platform (GCP). GCP encompasses a range of physical and virtual resources, housed in Google's global data centres, providing website and application development infrastructure. This course will introduce the significance of Google Cloud, enabling users to make informed decisions, enhance security, reduce costs, and optimise operations.

Understanding Google Cloud is vital for professionals seeking Google Cloud Certification and mastering Google Cloud technologies. This knowledge is crucial for IT Experts, Developers, and Cloud Architects, as it equips them with the skills needed to leverage Google Cloud resources effectively. With the growing demand for cloud-based solutions, proficiency in GCP is an asset for career progression.

The Knowledge Academy's 1-day Google Cloud training in the United Kingdom equips delegates with practical skills for working with GCP. They will learn how to manage Google identities, federate their identity providers, migrate unmanaged accounts, and control resource access. The course, led by experienced trainers, covers topics like creating service accounts, using the cloud console, securing applications, assessing workloads, and building a strong foundation.

Introduction to Google Cloud Training Course Objectives

  • To understand the fundamentals of Google Cloud Platform (GCP) and its infrastructure
  • To gain proficiency in managing Google identities and controlling resource access
  • To learn techniques for migrating to Google Cloud and assessing workloads
  • To create and secure service accounts for applications in GCP
  • To explore the Cloud Console and set environment variables effectively
  • To build a strong foundation in Google Cloud technologies

After attending this Google Cloud Training in Georgia, delegates will be able to interact with the services and resources by using the Google Cloud console, command-line interface, and client libraries. They will also be able to use resource hierarchy to map their enterprise's operational structure.

What is the Google Cloud Certification Path?

Google Cloud Certification Roadmap

The official Google Cloud Certification journey, progressing from foundational knowledge to high-demand professional roles. It helps learners plan their upskilling path based on their career goals and experience level.

  • Foundational Level:

Cloud Digital Leader – Gain a broad understanding of cloud concepts, ideal for non-technical professionals or beginners.

  • Associate Level:

Cloud Engineer – Learn to deploy applications, monitor operations, and manage enterprise solutions on Google Cloud.

  • Professional Level:

Advance your expertise with specialisations such as Cloud Architect, Cloud Developer, Data Engineer etc.

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What is included in this Google Cloud Training?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Professional Collaboration Engineer Course Outline

Module 1: Object Management

  • Manage User Life Cycles with Provisioning and Deprovisioning Processes
  • Configure Shared Drives
  • Manage Calendar Resources
  • Configure and Manage Google Groups for Business

Module 2: Service Configuration

  • Implement and Manage Workspace Configurations Based on Corporate Policies
  • Demonstrate How to Set Up and Configure Google Mail

Module 3: Troubleshoot

  • Fix Bounced or Rejected Emails
  • Limits for Sending and Getting Mail
  • File Types Blocked in Gmail
  • Classify and Mitigate Basic Email Attacks

Module 4: Data Access and Authentication

  • Configure Policies for All Device
  • Configure User Authentication
  • Edit a User’s Recovery Information
  • Temporarily Turn Off a Login Challenge

Module 5: Support Business Initiatives

  • Use Vault to Assist Legal Teams
  • Interpret Reports for the Business
  • Download or Export Your Google Data

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Who should attend this Professional Collaboration Engineer Course?

The Professional Collaboration Engineer Course is designed for a specific group of professionals who aim to advance their skills in designing, deploying, and managing collaboration solutions. The following professionals will benefit the most from this course:

  • System Administrators
  • DevOps Engineers
  • IT Managers
  • Software Developers
  • Solution Architects
  • Information Security Analysts
  • Business Systems Analysts

Prerequisites for the Professional Collaboration Engineer Course

There are no formal prerequisites for this course. However, having a foundational understanding of IT concepts, including basic networking and cloud computing can be beneficial for the delegates. Experience with collaboration tools, such as video conferencing and content sharing platforms, will also be beneficial.

Introduction to Professional Collaboration Engineer Course

Professional Collaboration Engineer Training is a course designed to equip delegates with the skills and knowledge to transform business concepts into tangible policies, content, security, and integrations. Collaboration Engineers play a crucial role in facilitating communication, data access, and teamwork. This course is highly relevant in today's digital workplace, where effective collaboration is a key driver of success.

Understanding Professional Collaboration Engineering is vital for IT professionals, Administrators, and anyone responsible for optimising workspace access and operational efficiency. This training delves deep into the art and science of designing and implementing effective collaborative solutions, ensuring teams can work together irrespective of geographical and organisational boundaries.

The Knowledge Academy's 1-day Professional Collaboration Engineer Training empowers delegates with a comprehensive understanding of object management, Google mail setup and configuration, Google group management, user and calendar resource management, shared drive configuration, and email attack mitigation. Upon completion, delegates will be well-prepared for senior collaboration engineering roles and other high-paying positions in the field.

Introduction to Professional Collaboration Engineer Course Objectives:

  • To equip delegates with the skills and knowledge needed to transform business concepts into effective policies and integrations
  • To enable delegates to effectively manage organisational operations and workspace access
  • To improve operational efficiency through comprehensive training in object management, Google mail configuration, and Google group management
  • To prepare delegates for troubleshooting and mitigating basic email attacks, enhancing workplace security
  • To empower learners with the ability to interpret reports, import and export data, and manage third-party applications effectively
  • To provide the expertise required for configuring and implementing data governance policies, ensuring compliance and data security

At the end of this Professional Collaboration Engineer Training, delegates will be able to troubleshoot user reports and configure policies of all devices. They will also be able to improve professional validations from both existing and new employees.

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What's included in this Professional Collaboration Engineer Course?

  • World-Class Training Sessions from Experienced Instructors
  • Professional Collaboration Engineer Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Digital Leader Outline

Module 1: Introduction to Digital Transformation with Google Cloud

  • Why Cloud Technology is Revolutionising Business?
    • Cloud
    • Cloud Technology
    • Data
    • Digital Transformation
  • Why it is Critical for Businesses to Adopt New Technology?
    • Cloud Technology and Traditional or On-Premises Technology
    • How Customer Expectations Have Changed Because of Cloud Technology?
    • Identify the Business and Technical Considerations

Module 2: Innovating with Data and Google Cloud

  • Role of Data in Digital Transformation
  • Importance of a Data-Driven Culture
  • Identify Common Google Cloud Solutions for Data Management
  • Identify Common Google Cloud Solutions for Smart Analytics
    • Benefits of Storing Data in the Cloud
    • Use Cases for Databases, Data Warehouses, and Data Lakes
    • Benefits of Google Cloud Data Products
  • Identify Google Cloud’s Solutions for Machine Learning and AI
    • Artificial Intelligence (AI) and Machine Learning (ML)
    • Importance of Data Quality in ML Prediction Accuracy
    • Google Cloud’s Differentiators with Regard to AI and Machine Learning
    • Ways to Use Google Cloud’s AI and ML Solutions to Create Business Value

Module 3: Infrastructure and Application Modernisation

  • What Modernising IT Infrastructure with Google Cloud Means?
    • Why Legacy Infrastructure Struggles to Deliver Modern Services to Customers?
    • Benefits of Modernising Infrastructure with Cloud Technology
    • Hybrid Vs Multicloud Infrastructures
    • Differentiate Between Virtual Machines, Containers, and Serverless Computing
    • Identify the Google Cloud Solutions
  • Modernising Applications with Google Cloud
    • Business Drivers for Modernising Applications
    • Benefits of Using Cloud-Native Applications
    • Apply the Appropriate Change Pattern
    • Benefits of Google Kubernetes Engine, Anthos, and App Engine
  • Value OF APIs
    • How Application Programming Interfaces (APIs) can Modernise Legacy Systems?
    • How APIs can Create New Business Value?
    • Benefits of Apigee

Module 4: Google Cloud Security and Operations

  • Financial Governance, Effective Cloud Cost Management
  • Cloud Security Approach
    • Cloud Security Terms
    • What is a Shared Responsibility Model?
    • Security Benefits of Using Google Cloud
    • Cybersecurity Challenges and Threats to Data Privacy
    • How Organisations can Control and Manage Access to Cloud Resources?
  • How IT Operations Need to Adapt to Thrive in the Cloud?
    • Service Availability Requirements in the Cloud Vs in On-Premises Environments
    • Operational Challenges and Apply the Goals of Site Reliability Engineering (SRE)
  • Identify Google Cloud Solutions for Cloud Resource Monitoring
  • Application Performance Management

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Who should attend this Google Cloud Digital Leader Training?

This course is ideal for individuals looking to understand Google Cloud’s core services and how cloud technology supports business objectives and digital transformation.

You should attend this training if you are:

  • Business Leader: Aligning cloud solutions with strategic goals and innovation
  • IT Manager: Gaining foundational knowledge of Google Cloud’s capabilities
  • Project Manager: Overseeing cloud initiatives and cross-functional collaboration
  • Sales or Marketing Professional: Understanding cloud value propositions for customer engagement
  • Consultant: Advising clients on cloud readiness and transformation strategy
  • Aspiring Cloud Professional: Building a strong foundation for Google Cloud certification

Prerequisites for the Google Cloud Digital Leader Training

There are no formal prerequisites for attending this Google Cloud Digital Leader Certification Course.

Introduction to Google Cloud Digital Leader Training

The Google Cloud Digital Leader Training Course by The Knowledge Academy helps professionals build a strong foundation in cloud technologies and understand how to support digital transformation using Google Cloud solutions.

This course introduces core cloud concepts and explains how Google Cloud services can be applied to solve business challenges. You will learn about cloud infrastructure, data and AI capabilities, security, and the value of digital transformation. It also prepares you for the Google Cloud Digital Leader Certification, validating your ability to participate in cloud-driven business initiatives.

This training is ideal for Business Leaders, Project Managers, IT Decision-makers, and professionals in non-technical roles who want to engage confidently in cloud-related discussions and strategies.

Introduction to Google Cloud Digital Leader Course Objectives

  • To understand fundamental cloud concepts and digital transformation strategies
  • To explore Google Cloud’s core services including compute, storage, and AI
  • To identify the benefits of cloud for business operations and innovation
  • To prepare for the Google Cloud Digital Leader Certification exam

Delivered over 1 day, this course provides the knowledge and confidence to contribute to cloud adoption initiatives and support strategic decisions. You will leave with a clear understanding of how Google Cloud empowers innovation and efficiency across industries.

Support your organisation’s digital journey with The Knowledge Academy. We offer expert-led training to help you become a confident and certified Google Cloud Digital Leader.

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What's included in this Google Cloud Digital Leader Training?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Digital Leader Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Developer Certification Outline

Module 1: Introducing Cloud Computing and Google Cloud Platform

  • Google Cloud Platform Difference
  • Getting Started with Google Cloud Platform
  • Using Google APIs

Module 2: Compute Products

  • Google Compute Engine
  • Google App Engine
  • Next Generation DevOps Initiatives

Module 3: Storage Products

  • Google Cloud SQL
  • Cloud Storage
  • Google Cloud Datastore

Module 4: Big Data Products

  • Google BigQuery
  • Google Cloud Dataflow
  • Google Cloud Pub

Module 5: Networking and Services

  • Google Cloud DNS
  • Google Cloud Endpoints

Module 6: Management and Recipes

  • Cloud Platform DevOps Toolbox
  • Architecture Recipes for Google Cloud Platform

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Who should attend this Google Cloud Developer Certification?

This course is ideal for professionals aiming to design, build, and deploy scalable applications using Google Cloud tools and services while preparing for the official certification exam.

You should attend this course if you are:

  • Cloud Developer: Building and deploying cloud-native applications using GCP
  • Software Engineer: Developing and optimising applications in containerised environments
  • DevOps Engineer: Automating deployments and integrating CI/CD pipelines on Google Cloud
  • Application Architect: Designing scalable, secure solutions using GCP services
  • IT Professional: Transitioning to cloud-based development with Google Cloud expertise
  • Aspiring Google Cloud Certified Professional: Preparing for the Cloud Developer certification exam

Prerequisites of the Google Cloud Developer Certification

There are no formal prerequisites for attending this Google Cloud Developer Course. However, having a basic understanding of cloud computing, including the different types of cloud computing services is necessary.

Introduction to Google Cloud Developer Certification

The Google Cloud Developer Certification in Georgia by The Knowledge Academy equips professionals with the skills needed to design, build, and deploy scalable applications on Google Cloud using best practices and cloud-native tools.

This course focuses on key areas such as Google Cloud architecture, Cloud Functions, App Engine, storage services, debugging, monitoring, and CI/CD pipelines. You will learn how to write cloud-optimised code, build secure APIs, integrate services, and deploy resilient applications using Google Cloud technologies.

This practical Google Cloud Developer Training is ideal for Software Developers, Cloud Engineers, and IT professionals aiming to develop and deploy applications in a cloud-first environment. It also prepares you for the Google Cloud Certified – Associate Cloud Developer exam.

Introduction to Google Cloud Developer Certification Course Objectives

  • To design, develop, and deploy cloud-native applications on Google Cloud
  • To use Google Cloud services such as Cloud Run, App Engine, and Firestore
  • To implement CI/CD pipelines and automate deployments
  • To prepare for the Google Cloud Developer Certification exam

Delivered in 1-Day, this hands-on course provides real-world scenarios and lab exercises to build your confidence in developing cloud applications. You will leave with the skills and knowledge to build scalable, secure, and efficient solutions using Google Cloud.

Advance your development career with The Knowledge Academy. We provide practical training and certification support to help you become a confident Google Cloud Developer.

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What's included in this Google Cloud Developer Certification?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Developer Professional Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google Advanced Data Analytics Course Outline

Module 1: Introduction to Advanced Data Analytics

  • Role of Advanced Data Analytics
  • Benefits of Data Analytics
  • Techniques of Data Analytics
  • Data Analytics Life Cycle and Process

Module 2: Data Collection and Preparation

  • Google Analytics Data Collection
  • Categorising into Users and Sessions
  • Storing Data and Generating Reports
  • Creating a Measurement Plan

Module 3: Setting Up Data Collection and Configuration

  • Creating a Google Analytics Account
  • Configure your Profile
  • Grant Access to Other User
  • Setting up Data Stream

Module 4: Types of Data Analytics

  • Descriptive Analytics
  • Predictive Analytics
  • Diagnostic Analytics
  • Exploratory Analytics

Module 5: Phases of Data Analysis

  • Phases of Data Analysis
    • Data Requirements Gathering
    • Data Collection
    • Data Cleaning
    • Data Analysis
    • Data Interpretation
    • Data Visualisation

Module 6: Data Analytics Tools and Techniques

  • Introduction to Data Analytics Tools
  • SQL Basics
  • Algorithms

Module 7: Advanced Machine Learning Techniques

  • Ensemble Learning Methods
  • Neural Networks and Deep Learning
  • Natural Language Processing (NLP)
  • Recommender Systems

Module 8: Big Data Analytics

  • Introduction to Big Data
  • Big Data Storage and Processing Technologies
  • Distributed Computing and MapReduce
  • Data Streaming and Real-time Analytics

Module 9: Time Series Analysis

  • Understanding Time Series Data
  • Time Series Visualisation and Decomposition
  • Forecasting Techniques
  • Evaluating Time Series Models

Module 10: Data Mining and Pattern Recognition

  • Introduction to Data Mining Concepts
  • Association Rule Mining
  • Clustering Techniques
  • Pattern Recognition and Anomaly Detection

Module 11: Text Analytics and Sentiment Analysis

  • Text Preprocessing and Tokenisation
  • Sentiment Analysis Techniques
  • Named Entity Recognition (NER)
  • Text Classification and Topic Modeling

Module 12: Data Analytics in Business Decision-Making

  • Role of Data Analytics in Business Strategy
  • Data-Driven Decision-Making Process
  • Key Performance Indicators (KPIs) and Metrics
  • Measuring the Impact of Data Analytics on Business Outcomes

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Who Should Attend this Google Advanced Data Analytics Course?

The training course is designed for individuals who want to deepen their skills in advanced Data Analytics using Google Cloud Platform (GCP) tools and services. This course is beneficial for various professionals including:

  • Data Analysts
  • Data Scientists
  • Data Engineers
  • Cloud Architects
  • Data Visualisation Experts
  • Database Developers
  • Data Quality Analysts

Prerequisites for the Google Advanced Data Analytics Course

There are no formal prerequisites for attending this training course.

Google Advanced Data Analytics Course Overview

The Google Advanced Data Analytics Course focuses on building advanced analytical capabilities using data-driven techniques and Google Cloud technologies. It covers data exploration, statistical analysis, predictive modelling, and visualisation to support insight-driven decisions.

Upskilling in advanced data analytics enhances problem-solving and decision-making skills. Delegates develop the ability to interpret complex data and apply statistical and predictive methods in professional roles.

This 2-Day Google Advanced Data Analytics Professional Training offered by The Knowledge Academy equips delegates with practical knowledge of advanced analytics concepts aligned with Google Cloud tools.

Google Advanced Data Analytics Course Objectives

  • To explore various data collection and preprocessing techniques
  • To demonstrate the setup and configuration of Google Analytics
  • To distinguish between different types of data analytics approaches
  • To introduce data analytics tools and programming fundamentals
  • To comprehend big data storage, processing, and real-time analytics
  • To understand the role of data analytics in business decision-making

After attending this Google Advanced Data Analytics Course in Georgia, delegates will be able to effectively communicate their findings and support data-driven decision-making processes within their organisations. They will also be able to identify critical relationships and anomalies within datasets, aiding in optimising business processes.

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What’s Included in this Google Advanced Data Analytics Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Advanced Data Analytics Professional Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Business Intelligence Course Outline

Module 1: Introduction to Business Intelligence (BI)

  • Understanding Business Intelligence
  • How Business Intelligence Works?
  • Why is Business Intelligence Important?
  • How Major Industries Use Business Intelligence?

Module 2: Overview of Google BI Tools

  • Google Data Studio
  • Google BigQuery
  • Google Analytics
  • Google Sheets for BI

Module 3: Data Preparation and Cleansing

  • Data Collection and Data Sources
  • Data Transformation and Cleansing
  • Data Integration with Google Tools
  • Data Quality and Governance

Module 4: Google Data Studio

  • Introduction to Data Studio
  • Building Reports and Dashboards
  • Data Visualisation Best Practices
  • Data Studio Connectors
  • Sharing and Collaboration

Module 5: Google BigQuery for Data Warehousing

  • Introduction to BigQuery
  • Structured Query Language (SQL) in BigQuery
  • Data Ingestion and Storage
  • Querying and Performance Optimisation
  • Data Export and Backup

Module 6: Data Analytics with Google Sheets

  • Data Analysis Functions in Google Sheets
  • Pivot Tables and Charts
  • Data Visualisation in Google Sheets
  • Data Collaboration and Sharing
  • Integrating Google Sheets with Other Google Tools

Module 7: Advanced Analytics with Google BigQuery

  • Advanced SQL Queries in BigQuery
  • Window Functions and Aggregations
  • Machine Learning in BigQuery
  • BigQuery Geospatial Analysis

Module 8: Google Analytics for Web and App Analytics

  • Introduction to Google Analytics
  • Setting Up Google Analytics
  • Tracking User Behaviour
  • Analytics for E-commerce
  • Custom Reports and Dashboards

Module 9: Data Security and Compliance

  • Data Security Best Practices
  • Role-Based Access Control
  • Data Encryption and Privacy
  • Compliance with Regulations
  • Data Governance in Google BI

Module 10: Business Intelligence Deployment and Management

  • BI Project Lifecycle
  • BI Deployment Strategies
  • Performance Monitoring and Optimisation
  • Scalability and Resource Management
  • Backup and Disaster Recovery

Module 11: Advanced Data Visualisation Techniques

  • Advanced Data Visualisation Principles
  • Customising Charts and Graphs
  • Interactive Dashboards in Data Studio
  • Geographic and Time-Series Visualisations
  • Storytelling with Data

Module 12: Data Analytics and Insights

  • Predictive Analytics with Google Tools
  • Business Forecasting
  • Data-driven Insights and Recommendations
  • A/B Testing and Experimentation

Module 13: Data Integration and ETL

  • Extract, Transform, Load (ETL) Processes
  • Data Integration Strategies with Google Tools
  • Automating Data Pipelines
  • Data Warehousing and Analytics

Module 14: Business Intelligence in the Cloud

  • Cloud Based BI Solutions
  • Google Cloud BI Integrations
  • Cloud Data Warehousing and BI
  • Scalability and Cost Management

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Who should attend this Google Business Intelligence Course?

The Google Business Intelligence Professional Course is designed for professionals willing to learn how to use Google Cloud Platform (GCP) tools and services for business intelligence and data visualisation. This course is beneficial for various professionals including:

  • Data Analysts
  • Business Analysts
  • Business Intelligence Managers
  • Data Engineers
  • Sales Managers
  • Data Visualisation Experts
  • IT Consultants
  • Project Managers

Prerequisites for the Google Business Intelligence Course

There are no formal prerequisites for attending this training course.

Introduction to Google Business Intelligence Course

This training is a vital course in today's data-driven world. This comprehensive set of tools and processes empowers organisations to transform raw data into valuable insights, driving data-driven decision-making. Google Business Intelligence is essential for strategic planning, increased efficiency, and a deeper understanding of customers. This training is particularly crucial for professionals who aim to master the field of BI.

Professionals across various domains, from Data Analysts to Business Intelligence Specialists and Data Scientists, can benefit from this training. It equips them with the skills to extract meaningful patterns from complex data sets and contributes significantly to their organisation's success. This training will be conducted by our highly experienced trainers, ensuring a comprehensive understanding of Google Business Intelligence, making it a valuable resource for professionals seeking a Google Cloud Platform Certification.

Our 1-day Google Business Intelligence Training, offered by the Knowledge Academy, is designed to help delegates build a strong BI foundation. They will learn to create effective BI strategies, aligning them with organisational goals and turning data into actionable insights. Delegates will explore different categories of BI analysis and understand the criteria for selecting the right BI platform for their business. Moreover, they will gain hands-on experience with various BI tools and technologies.

Introduction to Google Business Intelligence Course Objectives

  • To explore various BI tools, technologies, and applications
  • To understand the importance of data-driven decision-making
  • To analyse data using predictive, descriptive, and prescriptive analytics
  • To become familiar with the right BI platform based on requirements
  • To learn data visualisation techniques for effective communication
  • To implement Decision Support Systems for better decision-making

Upon completing the Google Business Intelligence Professional Training, delegates will gain the expertise to drive data-driven decision-making in their organisations, enhancing strategic planning and efficiency. They will also be well-prepared to pursue more advanced certifications, opening doors to diverse career opportunities in the dynamic field of Business Intelligence.

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What’s included in this Google Business Intelligence Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Business Intelligence Professional Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google Project Management Course Outline

Module 1: Project Management Life Cycle and Methodology

  • What is the Project Management Lifecycle?
  • What is a Project Management Methodology?

Module 2: Organisational Structure

  • What Are Project Management Structures Used for?
  • Different Types of Project Organisational Structures
  • Functional Organisational Structure
  • Projectised Organisational Structure
  • Matrix Organisational Structure
  • How to Choose the Best Organisational Structure for the Team

Module 3: Working Effectively with Stakeholders

  • Where Are the Project Stakeholders?
  • What Do Stakeholders Really Want?
  • How Do You Work Effectively with Stakeholders?

Module 4: Building a Project Plan

  • What is Project Planning?
  • Project Plan Template
  • How to Create a Project Plan

Module 5: Managing Budgeting and Procurement

  • What is a Project Budget?
  • Importance of Project Budgeting
  • How to Estimate a Project Budget?
  • What is Procurement Management?
  • What is a Procurement Management Plan?
  • Procurement Documents
  • Procurement Management Process

Module 6: Managing Risks Effectively

  • What is Risk Management on Projects?
  • How to Manage Risk
  • What is Positive Risk?
  • How to Respond to Positive Risk
  • Managing Risk Throughout the Organisation
  • Steps in the Risk Management Process

Module 7: Introduction to Project Execution

  • Introduction to Project Execution?
  • Execution Phase of Project Management
  • Project Execution Steps
  • Project Execution Phase Activities
  • Importance of the Right Software

Module 8: Closing A Project

  • What is Project Closing?
  • Why is Project Closing Important?
  • How Can Project Closing Support a Project Management Career?

Module 9: Implementing Scrum

  • Choose the Product Owner
  • Select the Development Team
  • Choose a SCRUM Master
  • Create the Backlog and Prioritise
  • Improve the Product Backlog
  • Sprint Planning Meeting
  • Organise and Conduct the Daily SCRUM
  • Retrospective Agile SCRUM

Module 10: Initiating a Project

  • What is Project Initiation?
  • Project Initiation vs. Project Planning
  • Why Does the Project Initiation Phase Matter?
  • Project Initiation Process
  • Project Planning

Module 11: Effective Stakeholder Communication

  • What are Stakeholder Communication Requirements?
  • Why is Stakeholder Communication So Important?
  • How Can I Improve Stakeholder Communication?

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Who Should Attend this Google Project Management Training?

This training course is designed for individuals willing to enhance their Project Management skills using Google Workspace tools and techniques. This course is beneficial for various professionals, including:

  • Project Managers
  • Business Analysts
  • Product Managers
  • Digital Marketing Managers
  • Sales Managers
  • Operations Managers
  • Event Planners
  • Supply Chain Managers

Prerequisites for the Google Project Management Training

There are no formal prerequisites for attending this training course. However, a basic familiarity with project environments and terminologies will be beneficial.

Introduction to Google Project Management Course

Project Management is vital across all industries, and Google’s approach provides a modern, practical framework for achieving results. This training builds essential Project Management Skills for managing tasks, budgets, and timelines effectively.

Google Project Management Training is Ideal for aspiring professionals involved in project delivery. This course helps delegates master Google’s tools and methods to lead teams and manage complexity successfully.

The Knowledge Academy’s 2-Day Google Project Management Course combines real-world application with expert guidance, offering hands-on experience in planning, execution, communication, and risk management.

Google Project Management Course Objectives

  • To understand the fundamentals of Project Management
  • To learn about Google's Project Management tools and techniques
  • To develop skills for planning, executing, and closing projects
  • To enhance problem-solving and decision-making abilities
  • To improve communication and leadership skills
  • To manage project risks and changes effectively
  • To understand how to monitor and control project progress

Upon completion of this course, delegates will receive a Google Project Management Professional Certificate, demonstrating their proficiency in Project Management and enhancing their credibility in the industry.

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What's Included in this Google Project Management Training?

  • World-Class Training Sessions from Experienced Instructors
  • Google Project Management Professional Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Application Development with Cloud Run Outline

Module 1: Introduction to Cloud Run

  • What is Cloud Run?
  • Cloud Run Services
    • Scale to Zero and Minimum Instances
    • Pay-Per-Use Pricing for Services
    • Disposable Container Filesystem
  • When to Use Cloud Run Services?
  • Cloud Run Jobs
  • When to Use Cloud Run Jobs?
  • Cloud Run Integrations
  • Services or Jobs Must be Packaged in a Container Image

Module 2: Building Containers

  • Building Using a Dockerfile
  • Building Using Cloud Build
  • Building Locally and Pushing using Docker
  • Building Using Google Cloud's Buildpacks
  • Building with Google Cloud's Buildpacks Using the Pack Command Line

Module 3: Deploying to Cloud Run

  • Supported Container Registries and Images
  • Deploying a New Service
  • Deploying a New Revision of an Existing Service
  • Deploying Images from Unsupported Registries
  • Deploying Multiple Containers to a Service

Module 4: Service Identity and Authentication

  • Using Per-Service Identity
  • Permissions Required to Assign User-Managed Service Accounts
  • Fetching Identity and Access Tokens Using the Metadata Server
  • Authenticating Service-To-Service
  • Set Up the Service Account
  • Acquire and Configure the ID Token
  • Use the Authentication Libraries
  • Use the Metadata Server
  • Use Workload Identity Federation from Outside Google Cloud
  • Use a Downloaded Service Account Key from Outside Google Cloud
  • Receive Authenticated Requests

Module 5: Invoking with an HTTPS Request

  • Creating Public Services
  • Creating Private Services
  • Testing Private Services
  • Private Service to Service
  • Using a Middleware to Enhance Your Service

Module 6: Controlling Inbound and Outbound Requests

  • Restricting Ingress for Cloud Run
  • Accessing Internal Services
  • Setting Ingress
  • Static Outbound IP Address
  • Creating a Subnetwork
  • Creating a Serverless VPC Access Connector
  • Configuring Network Address Translation
  • Routing Cloud Run Traffic Through the VPC Network
  • Verifying the Static External IP
  • Deleting the Static External IP

Module 7: Cloud Run Service to Service Communication

  • Creating Serverless VPC Connector
  • Creating Receiving Service
  • Creating Calling Service
  • Service-to-Service Communication with Auth

Module 8: Use Workflows with Cloud Run and Cloud Functions

  • Deploy the First Cloud Functions Service
  • Deploy the Second Cloud Functions Service
  • Connect the Two Cloud Functions Services in a Workflow
  • Connect a Public REST Service in the Workflow
  • Deploy a Cloud Run Service
  • Connect the Cloud Run Service in the Workflow
  • Delete the Project

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Who should attend this Application Development with Cloud Run?

The course is designed for individuals willing to learn how to develop and deploy applications using Google Cloud Run, a serverless compute platform. This course is beneficial for various professionals, including:

  • Software Developers
  • Web Developers
  • Full Stack Developers
  • DevOps Engineers
  • Technical Project Managers
  • System Administrators
  • Microservices Architects
  • Technical Consultants

Prerequisites for the Application Development with Cloud Run

There are no formal prerequisites for attending this training course.

Introduction to Application Development with Cloud Run

Cloud Run is a fully managed, serverless compute service on Google Cloud Platform that simplifies container deployment. As businesses scale and adopt microservices, understanding Cloud Run is essential for building and delivering modern applications quickly and efficiently.

This course is ideal for Software Developers, DevOps Engineers, and Technical Consultants seeking to advance their cloud-native development skills. Learning how to securely deploy, scale, and manage containerised applications with Cloud Run ensures you're prepared for real-world, production-ready scenarios.

The Knowledge Academy’s 2-Day training course delivers hands-on expertise in building container images, deploying services and jobs, handling authentication, and managing VPC configurations. Delegates will leave with the skills to develop robust, scalable, and secure applications using Google Cloud Run.

Introduction to Application Development with Cloud Run Course Objectives

  • To understand the principles of cloud-native development and containerisation
  • To master the deployment of serverless applications on Google Cloud Run
  • To build container images using various techniques like Docker files and build packs
  • To utilise artefact registry for storing and managing container images effectively
  • To implement graceful shutdowns and control outbound requests in the cloud run
  • To secure applications with service identity, authentication, and access token management

After attending this Application Development with Cloud Run Course, delegates will be able to utilise Cloud Run Services and Jobs for efficient application development. They will also be able to implement graceful shutdowns and manage outbound requests effectively.

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What's included in this Application Development with Cloud Run?

  • Application Development with Cloud Run Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Advanced Search Course Outline

Module 1: Introduction of Advance Google Search

  • Overview of Advance Google Search
  • How to use Google Advanced Search?
  • Search Engines
  • Search Operators
  • What can you use Google Advanced Search for?
  • Google Search Algorithm
  • What are the Key Google Search Algorithm Ranking Factors?

Module 2: Advanced Search Techniques

  • Google Advanced Search Techniques
  • Advanced Google Search Operators
  • Combining Multiple Search Operators
  • Boolean Logic in Google Search
  • Searching for Specific File Types
  • Location Based Searches

Module 3: Research and Data Gathering

  • Effective Strategies for Research
  • Fact Checking
  • Google Scholar for Academic Searches
  • How to use Google Trends for Market Research?
  • Keyword Research for SEO
  • Types of Keyword Research

Module 4: Customising and Optimising Searches

  • Personalisation of Google Search
  • Google Autocomplete Predictions
  • Customising Search by Region and Language
  • Filtering and Sorting Search Results
  • Google's My Activity for Search Analysis

Module 5: Utilising Search for Various Disciplines

  • Search Strategies for Business Professionals
  • Legal Research Using Google
  • Academic and Educational Resource Searches

Module 6: Search Ethics and Safety

  • Understanding Google's Search Policies
  • Ethical Considerations in Online Searches
  • Digital Footprint and Privacy in Searches
  • Safeguarding Against Misinformation
  • Safe Search and Child Protection Features

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Who should attend this Google Advanced Search Certification Course?

This Google Advanced Search Certification Course is perfectly suited for individuals who are eager to enhance their online research skills and master advanced search techniques. It is especially beneficial for:

  • Researchers and Academics
  • Marketing Professionals
  • SEO Specialists and Digital Marketers
  • Information Professionals
  • Journalists and Writers
  • Business Analysts
  • Data Scientists

Prerequisites for Google Advanced Search Certification Course

There are no formal prerequisites to attend this Google Advanced Search Certification Course.

Introduction to Google Advanced Search Course

Google Advanced Search is an enhanced method for conducting targeted, efficient online searches. The importance of Google Advanced Search is to deliver precise, relevant search results, crucial in today's information-rich world. For organisations, mastering Google Advanced Search translates into streamlined research processes, improved data accuracy, and better-informed decision-making. Individuals can take benefit from this training by gaining sophisticated search skills, enhancing their ability to quickly access reliable information. Gaining proficiency in Google Advanced Search offers significant career advantages, positioning them as skilled researcher and information manager, an increasingly asset in various professional fields.

This 1-day Google Advanced Search Certification provides delegates with in-depth knowledge of effectively utilising Advanced Google Search for more precise and relevant information retrieval. They will gain an understanding of advanced search techniques, including the use of specific search operators and Boolean logic, enabling them to refine their search queries. The course also covers strategies for efficient research and data gathering, including the use of tools like Google Scholar and Google Trends for specialised searches. This training will be conducted by our highly professional and skilled trainer, who has years of experience in teaching.

Introduction to Google Advanced Search Course Objectives

  • To understand Google Advanced Search and its capabilities
  • To apply search operators for targeted queries
  • To utilise Boolean logic in search refinement
  • To conduct specialised searches using Google Scholar
  • To analyse search results for data accuracy
  • To implement ethical practices in online research
  • To ensure safety and privacy in digital searches

After attending this Google Advanced Search course, delegates will be able to conduct highly effective and precise searches using Advanced Google Search. They will also be able to implement the acquired skills quickly to find accurate and relevant information.

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What’s included in this Google Advanced Search Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Advanced Search Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

From Data to Insights with Google Cloud Outline

Module 1: Introduction to From Data to Insights with Google Cloud

  • Highlight Analytics Challenges Faced by Data Analysts
  • Compare Big Data On-Premises vs on the Cloud
  • Analytics Transformation Case Studies
  • Navigate Google Cloud Platform Project Basics

Module 2: Big Data Tools Overview

  • Overview of Data Analyst Tasks and GCP Tools
  • Demo: Analyse 10 billion Records with Google Big Query
  • Explore 9 Fundamental Google Big Query Features
  • Compare GCP Tools for Analysts, Data Scientists, and Data Engineers
  • Lab: Exploring Datasets with Google Big Query

Module 3: Exploring Your Data with SQL

  • Compare Common Data Exploration Techniques
  • Learn How to Code High Quality Standard SQL
  • Explore Google Big Query Public Datasets
  • Visualisation Preview: Google Data Studio

Module 4: Cleaning and Transforming Your Data

  • Examine the 5 Principles of Dataset Integrity
  • Characterise Dataset Shape and Skew
  • Clean and Transform Data using SQL
  • Introducing Cloud Data prep

Module 5: Ingesting New Datasets into Google Big Query

  • Query from External Data Sources
  • Avoiding Data Ingesting Pitfalls

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Who Should Attend this From Data to Insights with Google Cloud?

This course is ideal for individuals looking to harness the power of Google Cloud Platform (GCP) to analyse data, generate insights, and make data-driven decisions.

You should attend this From Data to Insights with Google Cloud Training if you are:

  • Data Analyst: Leveraging GCP tools like BigQuery to explore and visualise data
  • Data Engineer: Building scalable data pipelines and processing workflows in the cloud
  • Business Intelligence Professional: Transforming raw data into actionable business insights
  • Cloud Professional: Gaining hands-on experience with GCP’s data analytics ecosystem
  • IT Professional: Supporting cloud-based data initiatives within your organisation
  • Aspiring Data Specialist: Building foundational skills in cloud-based analytics using GCP

Prerequisites of From Data to Insights with Google Cloud

There are no formal prerequisites to attend this training course.

From Data to Insights with Google Cloud Overview

This training course by The Knowledge Academy helps you build essential skills to analyse data, visualise insights, and make data-driven decisions using Google Cloud’s modern data tools.

Data analytics is critical for modern business intelligence. This course teaches you how to explore, transform, and visualise data using Google Cloud tools such as BigQuery, Looker Studio (formerly Data Studio), and Cloud Storage. You will learn how to write SQL queries, analyse datasets, create dashboards, and uncover actionable insights.

This hands-on Google Cloud Platform Course is ideal for Data Analysts, Business Intelligence Professionals, and IT teams who want to use cloud-powered tools for smarter decision-making. Through this, you can develop the confidence to handle large-scale data and extract valuable insights in real time.

From Data To Insights With Google Cloud Objectives

  • To query and analyse large datasets using BigQuery
  • To visualise and communicate insights with Looker Studio
  • To understand how Google Cloud services support data pipelines and analytics
  • To apply practical skills in data exploration and reporting

Delivered over 1 day, this comprehensive course gives you a practical foundation in using Google Cloud for data analysis. You will leave with the ability to turn raw data into business intelligence and support data-driven strategies.

Advance your analytics capabilities or grow your cloud expertise with The Knowledge Academy. We equip you with the tools and training needed to progress confidently in today’s data-driven world.

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What’s included in this From Data to Insights with Google Cloud?

  • World-Class Training Sessions from Experienced Instructors
  • From Data to Insights with Google Cloud Platform Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Architecting with Google Kubernetes Engine Training Course Outline

Module 1: Workloads: Deployments and Jobs

  • Creating Deployments
  • Inspecting Deployments
  • Adopting Other Deployment Strategies
  • Creating Jobs
  • Cluster Scaling
  • Controlling Pod Placement with Labels and Affinity Rules

Module 2: GKE Cluster Architecture and Components

  • Understanding GKE Node Pools
  • Components of Kubernetes (Pods, Nodes, and Clusters)
  • Kubernetes Control Plane and Its Functions

Module 3: Managing Kubernetes Resources in GKE

  • Introduction to Kubernetes Resources (Pods, Deployments, Services)
  • Helm Charts for Application Deployment
  • Kubernetes ConfigMaps and Secrets Management

Module 4: Networking in GKE

  • Understanding Kubernetes Networking Concepts
  • Types of Services in Kubernetes (ClusterIP, NodePort, LoadBalancer)
  • Network Policies for Pod Communication in Kubernetes

Module 5: Monitoring and Logging in GKE

  • Introduction to Monitoring and Logging in GKE
  • Understanding Kubernetes Metrics Server and HPA

Module 6: Security and Best Practices in GKE

  • Securing Kubernetes Clusters in GKE
  • Best Practices for Deploying in GKE
  • Managing Kubernetes Security Policies
  • Using Google Cloud Armor for GKE Security

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Who Should Attend this Architecting with Google Kubernetes Engine Training?

The Architecting with Google Kubernetes Engine Training is designed for professionals aiming to deepen their expertise in managing containerised applications using Google Cloud's powerful Kubernetes Engine. This course is especially beneficial for:

  • Cloud Architects
  • DevOps Engineers
  • IT Professionals
  • System Administrators
  • Application Developers
  • IT Project Managers
  • Security Professionals
  • Software Engineers
  • IT Leaders

Prerequisites of Architecting with Google Kubernetes Engine Training

There are no formal prerequisites for Architecting with Google Kubernetes Engine Training. However, having prior knowledge of Google Cloud Platform fundamentals, basic Kubernetes concepts, containerisation, and networking can be beneficial for understanding the course content effectively.

Architecting with Google Kubernetes Engine Training Overview

Architecting with Google Kubernetes Engine Training introduces delegates to deploying, managing, and scaling containerised applications within a managed cloud environment. This focuses on container orchestration and cloud-native architecture on Google Cloud.

This training supports upskilling by strengthening expertise in microservices design, automation, security configuration, and resource optimisation. Delegates enhance their ability to build scalable, reliable, and efficient cloud-native solutions within DevOps environments.

This 1-Day course offered by The Knowledge Academy helps delegates apply Google Kubernetes Engine principles confidently in real-world scenarios. Delegates gain practical experience deploying workloads, managing clusters, and configuring CI/CD pipelines and network policies.

Architecting with Google Kubernetes Engine Training Course Objectives

  • To understand the core architecture of Kubernetes and Google Kubernetes Engine (GKE)
  • To learn how to deploy, manage, and scale containerised applications using GKE
  • To explore best practices for securing and monitoring Kubernetes clusters
  • To implement continuous integration and continuous delivery (CI/CD) pipelines on GKE
  • To configure networking, autoscaling, and load balancing in Kubernetes
  • To gain hands-on experience through real-world labs and deployment scenarios

Upon completing this Architecting with Google Kubernetes Engine Training, delegates receive a certificate validating GKE expertise, supporting career advancement in cloud architecture and DevOps engineering through proven Kubernetes and Google Cloud skills.

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What’s Included in this Architecting with Google Kubernetes Engine Training?

  • World-Class Training Sessions from Experienced Instructors
  • Architecting with Google Kubernetes Engine (AGKE) Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Architecting with Google Cloud Design and Process Outline

Module 1: Defining the Service

  • Introduction to Service
  • Describe Users in Terms of Roles and Personas
  • Create SLO

Module 2: Choosing Storage Solutions

  • Choosing the Right Google Cloud Data Storage Service
  • Storage Binary Data with Cloud Storage
  • Create Instance Using Cloud SQL

Module 3: Google Cloud and Hybrid Network Architecture

  • Introduction to Hybrid Network Architecture in Google Cloud
  • Types of Hybrid Network Architectures in Google Cloud
  • Techniques for Building Hybrid Networks

Module 4: Applications of Google Cloud

  • Data Analytics and Big Data Processing with Google Cloud
  • Machine Learning and AI with Google Cloud
  • Infrastructure as a Service (IaaS)
  • Cloud Storage and Data Management

Module 5: Security

  • Overview of Security in Google Cloud Architecture
  • Threat Detection and Incident Response
  • Security Best Practices for Data Protection

Module 6: Maintenance and Monitoring

  • Automated Maintenance and Scaling in Google Cloud
  • Resource Optimisation and Cost Management

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Who Should Attend this Architecting with Google Cloud Design and Process? 

The Architecting with Google Cloud: Design and Process Training Course is excellently suited for individuals looking to deepen their understanding of cloud architecture using Google Cloud technologies. It is especially valuable for:

  • Cloud Architects
  • Systems Engineers
  • IT Managers and Directors
  • DevOps Engineers
  • Software Developers
  • IT Project Managers
  • Technology Consultants
  • Data Centre Managers

Prerequisites for Architecting with Google Cloud Design and Process 

There are no formal prerequisites for this course. However, completing Architecting with Google Compute Engine, Architecting with Google Kubernetes Engine, or having equivalent experience is recommended. Basic knowledge of Linux, command-line tools, and system operations is also beneficial.

Architecting with Google Cloud Design and Process Overview

This training equips professionals to build scalable, secure, and efficient cloud architectures using Google Cloud technologies, supporting organisations that want to modernise infrastructure and optimise cloud operations. 

Architecting with Google Cloud Design and Process Training covers microservices design, DevOps automation, storage options, network optimisation, hybrid architecture, cloud-native security, and system monitoring. 

The Knowledge Academy’s 1-day training teaches delegates to select suitable GCP tools, define SLOs, automate CI/CD pipelines, and architect solutions for reliability and cost efficiency through practical examples. 

Architecting with Google Cloud Design and Process Course Objectives 

  • To design scalable microservices using Google Cloud best practices
  • To automate deployments and manage infrastructure with Google Cloud tools
  • To select the right storage solutions based on specific needs
  • To optimise cloud network architecture for performance and cost
  • To implement comprehensive security measures across cloud systems
  • To maintain and monitor cloud solutions to ensure service reliability

After completing the training, delegates can design robust cloud solutions, implement microservices architectures, automate CI/CD, manage cloud security, and select ideal Google Cloud services for performance and cost optimisation.

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What’s included in this Architecting with Google Cloud Design and Process?

  • World-Class Training Sessions from Experienced Instructors
  • Architecting with Google Cloud: Design and Process Training Certificate
  • Digital Delegate Pack

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Not sure which course to choose?

Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on +44 1344 203 999 or Enquire.

Skills You Will Gain from Google Cloud Courses

Google Cloud Courses develop essential cloud computing and technical skills that enable professionals to design, manage, and secure scalable cloud environments.

  • Cloud Architecture & Design – Build secure, scalable systems using Google Cloud, Kubernetes, and Compute Engine with 99.99% uptime.
  • Data Management – Manage and analyse data with BigQuery and Cloud SQL, processing over 1TB in seconds.
  • Machine Learning Integration – Use Vertex AI and TensorFlow to automate tasks and boost productivity by 30%.
  • Networking & Security – Protect data with VPC networks, Cloud Armor, and Identity and Access Management.
  • Application Deployment – Deploy apps easily using CI/CD pipelines, Cloud Run, and App Engine.
  • Cloud Migration – Move from on-premises to Google Cloud smoothly using Migrate for Compute Engine.
  • Automation & Scripting – Automate work with Terraform, Cloud SDK, and Infrastructure as Code tools.
  • Cost Optimisation – Use Billing Reports and Recommender to lower cloud costs by up to 25%.

 

Latest Industry Trends in Google Cloud

The Google Cloud ecosystem continues to evolve, driven by innovation in AI, automation, and multi-cloud adoption.

Latest Industry Trends in Google Cloud

  • AI-Driven Cloud Solutions – Google Cloud uses AI and ML to automate tasks and improve efficiency by 30%.
  • Hybrid & Multi-Cloud Strategies – Businesses use Google Cloud in combination with other cloud platforms for flexibility and strong security.
  • Serverless Computing – Cloud Functions and event-driven systems help deploy apps faster and at lower costs.
  • Sustainability Focus – Google Cloud’s carbon-neutral data centres cut energy use by more than 50%.
  • Edge Computing Expansion – Google Distributed Cloud processes data closer to users to reduce delay.
  • Security Modernisation – Zero-trust frameworks and BeyondCorp tools strengthen cloud security and access control.
  • Data Analytics Growth – BigQuery and AI tools help businesses gain faster and smarter data insights.
  • Certification Demand – Demand for certified Google Cloud professionals has grown by 35% in enterprises.
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Package deals for Google Cloud Certification

Our training experts have compiled a range of course packages on a variety of categories in Google Cloud Certification, to boost your career. The packages consist of the best possible qualifications with Google Cloud Certification, and allows you to purchase multiple courses at a discounted rate.

Swipe for more. Don’t miss out!

Google Cloud Certification FAQs

Google Cloud is a suite of cloud computing services offered by Google. It provides scalable infrastructure, machine learning, storage, and application development tools used by organisations to modernise IT operations and drive digital transformation.

The duration of these courses varies. Please visit our course pages for specific information.

The prerequisites for these courses are based on the course specifications and the target group of professionals it serves. Check the respective course page of the course that you are planning to take to know about its prerequisites.

The right course depends on your role and experience. Beginners can start with the Cloud Digital Leader course, while IT professionals, developers, and data engineers may choose Associate or Professional-level certifications tailored to their specific technical responsibilities.

These Google Cloud Certification Courses are available in online, virtual classroom, and in-person formats. Once joined, you will receive login credentials for accessing course materials, live sessions, and practice labs through a secure learning management platform.

The Knowledge Academy provides flexible self-paced training for this course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.

Yes, after completing this Google Cloud Certification Course you will receive a certificate of completion to validate your achievement and demonstrate your proficiency in the course material.

In this training course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.

Exams are typically multiple-choice or multiple-select, conducted online or at authorised test centres. They usually last between 90 and 120 minutes, depending on the certification level and specific Google Cloud exam.

Google does not publish specific pass marks for most exams. Instead, results are based on overall performance and subject to psychometric analysis. Candidates should aim to score at least 70% to remain competitive.

If you misplace your course pack, contact customer support. Replacement materials can often be provided digitally, subject to verification of your course registration and identity.

Google Cloud Certification can significantly boost your earning potential. Google Cloud-certified professionals often earn between £50,000 and £100,000+ annually, depending on their role, experience, and certification level, with many seeing a noticeable salary increase post-certification.

Completing the Google Cloud Training offers career opportunities like Cloud Engineer, Solutions Architect, DevOps Engineer, Data Engineer, Cloud Consultant, and Machine Learning Engineer. These roles span industries such as technology, finance, healthcare, and retail.

Google Cloud Courses are updated regularly to reflect Google Cloud’s evolving tools, industry best practices, and market demands. Instructors stay informed through continuous training, while content aligns with the latest exam blueprints and real-world use cases.

Yes, the course explores cloud-native approaches, automation, and resource optimisation, helping you design scalable solutions that support business growth, operational agility, and digital innovation using Google Cloud technologies.

Training equips you with skills in automation, data analysis, app development, and cloud architecture, enabling you to propose and implement innovative, cost-effective, and scalable cloud solutions that drive organisational success and transformation.

The Knowledge Academy in Georgia stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.

The Knowledge Academy is one of the Leading global training provider for Google Cloud Certification.

The training fees for Google Cloud Certification in Georgia starts from €2295

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