Google Cloud Certification

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Platform Fundamentals Course Outline

Module 1: Introduction to Google Cloud Platform

  • 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 Course?

This Google Cloud Platform Fundamentals Training 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 of the Google Cloud Fundamentals Course

There are no formal prerequisites for this Google Cloud Platform Fundamentals Training.

Google Cloud Platform Fundamentals Course Overview

The Google Cloud Platform Fundamentals 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 Platform Fundamentals Training 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 Platform Fundamentals Course, 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 Platform Fundamentals Course?

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

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

Architecting Infrastructure with Google Cloud Platform Training​ Course 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 Infrastructure with Google Cloud Platform Training Course?

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 of the Architecting Infrastructure with Google Cloud Platform Training Course

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

Architecting Infrastructure with Google Cloud Platform Training Course Overview

Architecting Infrastructure with Google Cloud Platform 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 Architecting Infrastructure with Google Cloud Platform Course 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 Infrastructure with Google Cloud Platform Course, 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 Infrastructure with Google Cloud Platform Training Course?

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

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

Data Engineering with Google Cloud Platform Training Course 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 Course?

The Data Engineering with Google Cloud Platform Training is valuable training for those who want to get better at data management and processing while 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 of the Data Engineering with Google Cloud Platform Course

There are no formal prerequisites for this Data Engineering with Google Cloud Platform Training.

Data Engineering with Google Cloud Platform Course Overview

Data Engineering with Google Cloud Platform is a course of utmost relevance in the realm of technology and data-driven decision-making. Google, known for its innovative approach to global technologies, offers a comprehensive platform for Data Engineering, enabling professionals to collect, transform, and publish data, thereby fostering a data-driven approach to decision-making.

Professionals in the field of Data Engineering, Data Processing, and those aspiring to leverage Google Cloud services should aim to master this subject. It equips them with the knowledge and skills to design, build, secure, and monitor data processing systems, emphasising security, compliance, scalability, efficiency, reliability, and portability. This knowledge is crucial for harnessing the potential of Google's Machine Learning models.

Our 3-day training course, provided by the Knowledge Academy, offers delegates a deep understanding of Google Cloud Platform services for Data Management. They will learn to design and build data processing systems, create autoscaling data pipelines for batch and streaming data, and integrate Dataproc with the Google Cloud Platform. The course also covers the technical aspects of handling unstructured data using Google's Machine Learning APIs and delves into serverless data concepts.

Course Objectives

  • To understand the core concepts of Data Engineering with 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 course completion, delegates will be well-equipped to design and implement data processing solutions on the Google Cloud Platform, 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 Course?

  • 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 with Google Cloud Platform ​Course 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 with Google Cloud Platform Course?

The Networking with Google Cloud Platform Training is aimed at professionals who want to get better at Network Management while using Google Cloud Platform Services (GCP). The Networking with Google Cloud Platform Course can benefit professionals such as:

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

Prerequisites of the Networking with Google Cloud Platform Course

There are no formal prerequisites for this Networking with Google Cloud Platform Training.

Networking with Google Cloud Platform Course Overview

Networking with Google Cloud Platform is a crucial course that delves into the intricacies of establishing and maintaining robust network infrastructures within the Google Cloud ecosystem. In today's digital age, where the cloud is the backbone of modern businesses, understanding the nuances of Google Cloud networking is of paramount importance.

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 with Google Cloud Platform Course 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.

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 with Google Cloud Platform Course, delegates will gain a competitive edge in the job market by possessing valuable expertise in Google Cloud Networking, enhancing their career prospects. Additionally, they will be exposed to advanced career opportunities and hold a certificate demonstrating their commitment to mastering Google Cloud technology.

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

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

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google BigQuery Training​ 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 Training?

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

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

Prerequisites of the Google BigQuery Training

There are no formal prerequisites for this Google BigQuery Course.

Google BigQuery Training Course Overview

The Google BigQuery Course is essential for professionals seeking to harness the potential of Google Cloud Platform (GCP). This fully managed, petabyte-scale analytics data warehouse plays a pivotal role in solving the challenge of storing and querying massive datasets. With its ability to deliver lightning-fast SQL queries leveraging Google's infrastructure, it's a game-changer in data analytics.

Understanding Google BigQuery is crucial for professionals across various domains, including Data Analysts, Data Engineers, and Cloud Architects. Google Cloud Courses have become increasingly significant in today's tech landscape. Mastery of Google BigQuery is essential for those aiming to earn their Google Cloud Platform Certification and excel in the field of Cloud Data Analytics.

The Knowledge Academy's 2-day Google BigQuery Training equips delegates with the knowledge and skills needed to excel in the world of Data Analytics using Google Cloud. Delegates will learn how to run and manage jobs, work with datasets, tables, partitioned tables, clustered tables, and views. They will gain expertise in loading data into BigQuery, querying it effectively, and leveraging various data sources.

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 course, 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. Additionally, they will be well-prepared to pursue Google Cloud Platform Certification, enhancing their career prospects and opening doors to a wide range of opportunities in the field of Cloud Data Analytics.

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What’s included in this Google BigQuery Training?

  • 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)

Introduction to Google Cloud Security Course Outline

Module: 1 Introduction to Google Cloud Security

  • Introduction to Google Cloud Security
  • 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 Introduction to Google Cloud Security Course?

The Introduction to Google Cloud Security 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 Google Cloud Computing Training 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 of the Introduction to Google Cloud Security Course

There are no formal prerequisites for this Introduction to Google Cloud Security Training.

Introduction to Google Cloud Security Course Overview

In an era where data security is paramount, mastering Google Cloud Security is very crucial. This Introduction to Google Cloud Security Course equips professionals with the core fundamentals needed to secure Google Cloud environments effectively and manage resource access. It covers identity and access management, network infrastructure security, and operating system and data protection.

By undertaking this course, delegates will be equipped with a comprehensive understanding of GCP's security mechanisms, best practices, and tools designed to protect data, applications, and resources. Cybersecurity Specialists, Cloud Architects, and IT Administrators stand to benefit profoundly, gaining the expertise to craft robust security postures for their organisations on GCP.

This 1-day Introduction to Google Cloud Security Course by the Knowledge Academy is designed to empower delegates with practical knowledge. They will navigate IAM, secure network infrastructure, and gain insights into storage and database security. From GCP logging to encryption, this course ensures that delegates are well-prepared to secure data.

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 course, 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 Introduction to Google Cloud Security Course?

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

Show moredown

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.

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

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Developing Applications with Google Cloud Platform Course 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 Course?

The Developing Applications with Google Cloud Platform 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 of the Developing Applications with Google Cloud Platform Course

There are no formal prerequisites for this Developing Applications with Google Cloud Platform Training.

Developing Applications with Google Cloud Platform Course Overview

The Google Cloud Platform offers a wide array of environments, including PaaS, IaaS, and Serverless computing, making it a relevant choice for application development and maintenance. This course delves into the intricacies of GCP, providing a solid foundation for aspiring developers.

Understanding the subject is crucial for professionals like Developers, Application Designers, and Cloud Enthusiasts. These professionals should strive to master this topic as it equips them with the skills to create scalable, secure, and intelligent cloud-native applications, leveraging the power of GCP's high availability infrastructure.

The Knowledge Academy's 2-day Developing Applications with Google Cloud Platform Course ensures delegates gain comprehensive knowledge. They will learn to design, develop, and deploy applications, utilising GCP services and pre-trained Machine Learning APIs. Additionally, they will gain insights into data storage options, debugging, tracing, monitoring, and deployment services like Google Container.

Course Objectives

  • To acquire a comprehensive understanding of Google Cloud Platform and its essential terms
  • To effectively design, develop, and deploy applications using GCP
  • To leverage GCP services and pre-trained machine learning APIs for creating scalable, secure, and intelligent cloud-native applications
  • To become proficient in managing data storage options for application data
  • To hone the skills of debugging, tracing, and monitoring applications within the GCP environment
  • To explore deployment services and runtime environments, including Google Container, for streamlined application deployment

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 Course?

  • 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)

Google Cloud Compute Engine Course 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 Google Cloud Compute Engine Course?

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 of the Google Cloud Compute Engine Course

There are no formal prerequisites for this Google Cloud Compute Engine Training.

Google Cloud Compute Engine Course Overview

Google Cloud Compute Engine stands as one of the core components of Google Cloud Platform (GCP). This Infrastructure-as-a-Service (IaaS) offering provides users with scalable and flexible virtual machine instances, making it easier to run workloads in the cloud. With features that support high performance, automatic scaling, and seamless integration with other GCP services, Compute Engine facilitates various applications ranging from simple websites to complex Machine Learning models.

Pursuing this training equips professionals with the knowledge and expertise to harness the potential of cloud-based resources, ensuring scalability, cost-effectiveness, and operational efficiency in their projects. Whether you're an aspiring Cloud Architect, Developer, or IT Administrator, this course is designed to empower you with the skills and knowledge required to excel in the cloud computing arena.

Over the span of two days, The Knowledge Academy's Google Cloud Compute Engine Training will equip delegates with the expertise to create and manage VM instances, custom images, snapshots, and disks, facilitating seamless collaboration across projects. Delegates will gain insights into image export/import, instance management, and even advanced topics like PTR record creation, container deployment, scaling applications, and resource access management.

Course Objectives

  • To create and manage Virtual Machine (VM) instances effectively is a key objective of this course
  • To develop expertise in custom image creation, deletion, and deprecation is another important goal
  • To learn how to share images, snapshots, and disks across multiple projects is a crucial part of the training
  • To master the art of exporting and importing custom images and VM instances is a fundamental skill covered in this course
  • To gain proficiency in creating and managing groups of instances is a key takeaway for delegates
  • To acquire advanced skills in PTR record creation, container deployment, scaling applications, and resource access management within Google Cloud Compute Engine

Upon completing this Google Cloud 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 Google Cloud Compute Engine Course?

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

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Storage Training Course Outline

Module 1: Introduction to Google Cloud

  • What is Cloud Storage?
  • How Does Cloud Storage Work?
  • Advantages of Cloud Storage
  • Disadvantages of Cloud Storage
  • How to Use Cloud Storage?
  • Types of Cloud Storage

Module 2: Create Storage Buckets

  • Overview
  • Create Buckets
  • Bucket Locations
  • Storage Classes
  • Change the Default Storage Class of a Bucket

Module 3: Manage Storage Buckets

  • List Buckets
  • Bucket Metadata
  • Tags and Labels
  • Move and Rename Buckets
  • Delete Buckets

Module 4: Upload and Download Object

  • Introduction
  • Downloads
  • Uploads
  • Composite Objects

Module 5: Manage Objects

  • Change an Object’s Storage Class
  • List Objects
  • Object Metadata
  • Copy, Rename, and Move Objects
  • Delete Objects
  • Caching Objects
  • Get Insights about Objects
  • Object Transcoding

Module 6: Control Data Lifecycles

  • Option for Controlling Data Lifecycles
  • Object Lifecycle Management Features
  • Autoclass Features
  • Object Versioning Features

Module 7: Manage Projects, Folders, and HMAC Keys

  • Projects
  • HMAC Keys
  • Folders

Module 8: Cloud Storage FUSE

  • Overview
  • Install Cloud Storage FUSE
  • Mount Buckets
  • Integrations
  • Performance 

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Who should attend this Google Cloud Storage Training Course?

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 Google Cloud Storage Training Course can benefit professionals such as:

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

Prerequisites of the Google Cloud Storage Training Course

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

Google Cloud Storage Training Course Overview

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 managed cloud storage with high availability, 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 Google Cloud Storage 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.

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. They'll 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 Course?

  • 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 Training 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 Training 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 of the Developing with Google App Engine Training Course

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

Developing with Google App Engine Training 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 Training 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 Course 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 Course?

The Google Cloud Dataflow Training Course is suitable for individuals who want to get better at developing robust data processing pipelines while using Google Cloud Dataflow. The Google Cloud Dataflow Training Course can benefit professionals such as:

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

Prerequisites of the Google Cloud Dataflow Training Course

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

Google Cloud Dataflow Training Course Overview

Google Cloud Dataflow, an integral service within the Google Cloud Platform, offers a fully managed stream and batch data processing solution. Designed to simplify the intricacies of big data analytics, Dataflow provides a serverless environment where users can design, deploy, and oversee their data processing pipelines with ease. This training course equips delegates with the knowledge and skills to create, deploy, and manage data processing pipelines using Google Cloud Dataflow and the Apache Beam SDK.

Proficiency in Cloud Dataflow is indispensable for professionals working in data engineering and analytics. As data processing becomes increasingly integral to decision-making and innovation, mastering Cloud Dataflow is vital. Data Engineers, Developers, and Cloud Enthusiasts stand to benefit the most, as this course empowers them to harness the potential of Cloud Dataflow for batch and streaming data processing, making them highly sought-after in the job market.

The Knowledge Academy's 1-day Google Cloud Dataflow Training provides a fast-paced, yet comprehensive learning experience. Delegates will acquire the expertise to create, deploy, troubleshoot, and update data processing pipelines. They'll gain insights into configuring internet access and firewall rules, as well as utilising cloud pub/sub seek with Cloud Dataflow. This course is a gateway to understanding and effectively using Cloud Dataflow.

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, 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 Course?

  • 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 of the Google Cloud Spanner Training

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

Google Cloud Spanner Training Course Overview

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.

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

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Firestore Training Course 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 of the Google Cloud Firestore Training

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

Google Cloud Firestore Training Course Overview

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.

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

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Big Data and Machine Learning with Google Cloud Platform Course 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
  • Lab: Importing Data into CloudSQL and Running Queries
  • Spark on Dataproc
  • Lab: Machine Learning Recommendations with Spark on Dataproc

Module 5: Scaling Data Analysis

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

Module 6: Machine Learning

  • Machine Learning with TensorFlow
  • Lab: Carry out ML with TensorFlow
  • Pre-built Models for Common Needs
  • Lab: Employ ML APIs

Module 7: Data Processing Architectures

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

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

The Big Data and Machine Learning with Google Cloud Platform Course 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 of the Big Data and Machine Learning with Google Cloud Platform Course

There are no formal prerequisites for this Big Data and Machine Learning with Google Cloud Platform Training Course.

Big Data and Machine Learning with Google Cloud Platform Course Overview

Big Data and Machine Learning with Google Cloud Platform 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 Big Data and Machine Learning with Google Cloud Platform Course 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.

Course Objectives

  • To provide an understanding of Google Cloud Platform's Big Data and Machine Learning capabilities
  • To familiarise delegates with Google Cloud's data processing products and how to compute and store data effectively
  • 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 course, delegates will gain a competitive edge in their careers, equipped with practical skills in Big Data and Machine Learning with Google Cloud Platform, 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 Big Data and Machine Learning with Google Cloud Platform Course?

  • World-Class Training Sessions from Experienced Instructors
  • 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
  • Change Data Capture
  • 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

Module 5: Secure

  • Authenticate to Bigtable
  • Access Control with IAM
  • Create and Manage Tags
  • Audit Logging
  • Encryption
  • Reginal Endpoint

Module 6: Migrate

  • Import and Export Data
  • Migrate Data from HBase
  • Replication from HBase
  • Migrate Data from HBase on Google Cloud
  • Cloud Bigtable for Cassandra Users
  • Bigtable for Cassandra Users
  • Migrating from Aerospike to Cloud Bigtable
  • Import CVs Files

Module 7: Integrate

  • Integrations with Bigtable
  • Manage Data Assets using Data Catalog
  • BigQuery with Bigtable
  • Monitoring Time-Series Data with OpenTSDB
  • Use Cloud Functions
  • Store Graph Data with JanusGraph
  • Create a Hadoop Cluster

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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.

Google Cloud Bigtable Training Course Overview

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.

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

Show moredown

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)
  • Creating a GCP Account
  • 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
  • Access Control and Permissions in GCS

Module 4: Data Processing with Python and GCP

  • Introduction to Data Processing on GCP
  • Using Google Cloud Dataflow
  • Analysing Data with BigQuery
  • Integrating Python Scripts with GCP Data Services
  • Real-time Data Processing with Cloud Pub/Sub

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 AutoML for Model Development

Module 6: Building Web Applications with Python and GCP

  • Introduction to Web Application Development
  • Deploying Web Apps on Google App Engine
  • Integrating Cloud SQL and NoSQL Databases
  • 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.

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​ Course 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
  • Creating a Virtual Machine

Module 3: Google Kubernetes Engine (GKE)

  • GKE Overview
  • Benefits of GKE
  • How GKE works?
  • Kubernetes versions and features
  • Set up the GKE cluster
  • Installation
  • Configure Networking

Module 4: Storage Solutions in GCP

  • Introduction
  • Various Storage Option Provided by CGP
  • 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?
  • Principals 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?

The Google Cloud Course is designed for professionals who want to get better at 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 of the Google Cloud Training Course

There are no formal prerequisites for this Google Cloud Course.

Google Cloud Training Course Overview

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 infrastructure for website and application development. 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 training about Google Cloud equips delegates with practical skills for 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.

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 course, 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

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What’s included in this Google Cloud Training Course?

  • 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 Training 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 Training 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 of the Professional Collaboration Engineer Training 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.

Professional Collaboration Engineer Training Course Overview

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.

Course Objectives:

  • To equip delegateswith 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 Training?

  • 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 Training​ Course 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 Course?

The Google Cloud Digital Leader Course is designed for individuals who want to gain knowledge and skills associated with the core concepts and services of Google Cloud Platform (GCP). Given the growing reliance on cloud technologies and the specific nuances of GCP, the following individuals would benefit from attending this course:

  • Cloud Architects
  • Developers
  • Data Analysts
  • Data Scientists
  • Operations Engineers
  • Decision Makers
  • Network Professionals

Prerequisites of the Google Cloud Digital Leader Training Course

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

Google Cloud Digital Leader Training Course Overview

A Cloud Digital Leader communicates the abilities of core services and products of Google Cloud and the way in which they are beneficial for businesses. The Cloud Digital Leader also depicts the applications and cloud solutions that support an organisation. They are adept at leveraging cloud solutions to achieve business objectives, promote organisational change, and foster a cloud-first mindset.

This training course provides delegates with a holistic understanding of the Google Cloud ecosystem and its potential to drive business innovation. Beyond the foundational technical knowledge, the course also delves into strategic decision-making, enabling learners to align cloud capabilities with overarching business objectives. By mastering these skills, professionals can not only champion effective cloud adoption in their organisations but also foster a culture of agility and continuous innovation.

The Knowledge Academy’s 1-day Google Cloud Digital Leader Training Course provides delegates with the capabilities of Google Cloud services and how they benefit organisations. During this training, delegates will learn how to identify common Google Cloud solutions for data management and smart analytics. They will also learn about the ways adopting cloud technology affects the Total Cost of Ownership (TCO) and the fundamentals of cloud security.

Course Objectives

  • To break down the trends in compute power and data processing capabilities
  • To identify the business and technical considerations that organisations need
  • To apply the appropriate change pattern to different business use cases
  • To enable a new wave of digital transformation using cloud technology
  • To outline the importance of data quality in ML prediction accuracy
  • To differentiate service availability requirements within the cloud

Upon completing this training, delegates will possess the capability to digitalise data through the identification of Google Cloud services and products. Additionally, they will harness innovation to enhance organisational processes. Furthermore, they will be equipped to modernise both applications and infrastructure using Google Cloud, thereby facilitating the delivery of contemporary services to customers.

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What’s included in this Google Cloud Digital Leader Training Course?

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

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Google Cloud Developer Certification Course 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 Course?

The Google Cloud Developer Course is designed for Software Developers, Engineers, and individuals who are interested in becoming proficient in developing applications and solutions on the Google Cloud Platform (GCP). This course is beneficial for various professionals including:

  • Cloud Engineers
  • Full Stack Developers
  • Solution Architects
  • DevOps Engineers
  • Application Engineers
  • Microservices Developers
  • Data Engineers
  • API Developers

Prerequisites of the Google Cloud Developer Certification Course

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.

Google Cloud Developer Certification Course Overview

Google Cloud Developer Training is a comprehensive training course designed to equip Developers with the skills necessary to design, build, and deploy scalable and reliable applications on the Google Cloud Platform. In the modern tech landscape, this training is highly relevant as it empowers professionals to create and configure Virtual Machines, manage Kubernetes clusters, utilise serverless computing, and implement app engine applications.

Professionals in the field of Software Development, Cloud Computing, and IT should prioritise mastering Google Cloud Developer Professional Training. This course empowers delegates with in-depth knowledge of GCP's diverse suite of tools and services, ensuring they can design, deploy, and manage state-of-the-art applications in the cloud. Beyond the technical cadre, Project Managers and IT decision-makers can also benefit, gaining insights that will allow them to steer their development teams more effectively in the context of Google Cloud.

The Knowledge Academy's 1-day Google Cloud Developer Professional Training offers a deep dive into networking, storage, database services, and security concepts. Delegates will gain the skills needed to navigate networking services, utilise Cloud Storage, Cloud SQL, NoSQL databases, and Cloud Spanner, and address critical security considerations. Led by experienced instructors, this training ensures that delegates are well-prepared to excel in the dynamic world of cloud development.

Course Objectives

  • To understand the fundamentals of the Google Cloud Platform
  • To learn how to design and build scalable and reliable applications
  • To gain expertise in using Cloud Storage for managing and storing data
  • To become familiar with networking concepts in Google Cloud
  • To learn about security concepts in google cloud managing user access
  • To develop expertise in DevOps concepts and google cloud tools

At the end of this Google Cloud Developer Training, delegates will be able to use the Google Cloud Platform tools and services available to build and deploy scalable, reliable applications in the cloud. They will also be able to manage and monitor applications and troubleshoot issues.

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What’s included in this Google Cloud Developer Certification Course?

  • 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 Professional Training 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
  • Applying Configuration Settings
  • 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
  • Add Tracking Code to Your Website

Module 4: Types of Data Analytics

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

Module 5: 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
  • Data Analytics Programming Fundamentals

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 Professional Training Course?

The Google Advanced Data Analytics Professional 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 Professional Training Course

There are no formal prerequisites for attending this Google Advanced Data Analytics Professional Training Course.

Google Advanced Data Analytics Professional Training Course Overview

Google Advanced Data Analytics Professional Training is a 2-day course that equips professionals with the essential skills to harness the power of data in today's data-driven world. This training delves into Google Data Analytics, a comprehensive approach to extracting meaningful insights from vast datasets, enabling organisations to make informed decisions and optimise performance.

In the era of data, mastering Google Advanced Data Analytics is crucial for professionals seeking to enhance their Data Analytics skills. Certifications on the Google Cloud have become indispensable, and this course is essential for professionals across various domains, including Data Analysts, Business Analysts, and Data Scientists, aiming to bolster their expertise.

In this 2-day Google Advanced Data Analytics Professional Training Course, attendees will master the art of collecting, processing and analysing complex, large datasets to uncover valuable insights. They'll also become adept at data visualisation for clear communication of findings and data-driven recommendations. Additionally, participants will delve into various machine learning algorithms, including ensemble methods, neural networks, etc.

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 Professional Training Course, 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 Professional Training Course?

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

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Google Business Intelligence Professional Training 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 Professional Training 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 Professional Training Course

There are no formal prerequisites for attending this Google Business Intelligence Professional Course.

Google Business Intelligence Professional Training Course Overview

Google Business Intelligence Professional 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 2-day Google Business Intelligence Professional 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.

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 Professional Training 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 Professional Training Course Outline

Module 1: Project Management Life Cycle and Methodology

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

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

  • What is 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 Can Support 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 Professional Training Course?

The Google Project Management Professional Training Course is designed for individuals willing to enhance their Project Management skills using Google Workspace tools and techniques. This Google Project Management Training 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 of the Google Project Management Professional Training Course

There are no formal prerequisites for attending this Google Project Management Professional Training Course. However, a basic familiarity with project environments and terminologies will be beneficial.

Google Project Management Professional Training Course Overview

Google Project Management refers to the application of effective methodologies, tools, and techniques to plan, execute, and control projects within the Google ecosystem. It is crucial for the success of various initiatives within Google, ensuring projects are completed efficiently, on time, and within budget.

This training provides delegates with valuable skills that enhance their ability to lead and manage projects effectively. This training equips organisations with skills to handle complex initiatives, leading to streamlined processes, and enhanced project success rates. Moreover, this training provides a strong foundation for delegates to pursue a rewarding career in Project Management, granting access to diverse industries and higher-level leadership roles.  

The Knowledge Academy’s 2-day Google Project Management Professional Training Course provides delegates with comprehensive knowledge of the essential principles and practices of Google Project Management. During this training, they will learn about Project Management lifecycle and methodologies, enabling them to plan, execute, and monitor projects effectively and many more. This course will be led by our highly skilled and knowledgeable trainers, who have years of experience in teaching and will help delegates get a complete understanding of this course.  

Course Objectives  

  • To learn about Project Management methodologies and lifecycles
  • To explore different types of project organisational structures
  • To create comprehensive project plans using appropriate templates
  • To develop proactive risk management skills and handle positive risk opportunities
  • To introduce the Scrum framework and its implementation for Agile Project Management
  • To emphasise the importance of project closing and its impact on project success

After attending this training, delegates will be able to proactively identify and manage risks, including leveraging positive risk opportunities. They will also be able to implement the Scrum framework and agile practices in project execution.

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What’s included in this Google Project Management Professional Training Course?

  • 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 Training Course 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 Training Course?

The Application Development with Cloud Run 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 Training Course

There are no formal prerequisites for attending this Application Development with Cloud Run Training Course.

Application Development with Cloud Run Training Course Overview

Application Development with Cloud Run Training is a comprehensive training that delves into the core fundamentals of securing your Google Cloud environment effectively. In an era of increasing digital reliance, this course equips professionals with the knowledge and skills necessary to protect sensitive data and manage access to critical resources. With Google Cloud Platform (GCP) becoming an integral part of modern business infrastructure, understanding how to secure it is more relevant than ever.

In the rapidly evolving landscape of cloud computing, security is paramount. Application Development with Cloud Run Training is a must for professionals like IT Administrators, Developers, and System Architects aiming to enhance their Google Cloud Platform Certification credentials.

The Knowledge Academy's 2-day Application Development with Cloud Run Training covers a wide array of essential topics, from navigating IAM (Identity and Access Management) to securing GCP network infrastructure, operating systems, data, and cloud storage. Delegates will learn to configure IAM roles, service accounts, and custom roles, as well as edit IAM policies. Additionally, the course covers aspects like securing instance groups, SSH access to Linux instances, and database security.

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 training, 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 Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Application Development with Cloud Run 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 +1 6474932992 or Inquire.

Google Cloud Certification FAQs

Google Cloud is a suite of cloud computing services offering infrastructure, platform, and software solutions for businesses to build, deploy, and scale applications.
Google Cloud Courses offer a range of training programs and certifications designed to help individuals and organisations develop skills in cloud computing using Google Cloud technologies.
The cost of each Google Cloud Certification Course varies. Please refer to our course pages for specific information.
Yes. This Google Cloud Certification Training provides valuable skills, enhances career opportunities, and is recognised in the industry.
Yes, Google Cloud has a wide scope, being widely adopted across various industries for its robust and scalable solutions. Learn Google Cloud Training to kickstart your career today!
Upon obtaining this Google Cloud Training Certification, you can apply to various roles including Cloud Engineer, Cloud Architect, Data Engineer, and Cloud Developer.
This Google Cloud Certification Course enhances cloud computing skills, provides industry-recognised certification, and improves job prospects and earning potential.
You can apply for jobs including Cloud Engineer, Solutions Architect, Data Engineer, Cloud Consultant, and DevOps Engineer upon completing these Google Cloud Training Courses.
Basic understanding of IT concepts, familiarity with cloud computing, and some programming knowledge will be beneficial for delegates of these Google Cloud Certification Courses.
IT professionals, developers, data engineers, and anyone interested in learning about cloud computing and Google Cloud services will benefit from taking this Google Cloud Certification Course.
Register for The Knowledge Academy’s expert-led Google Cloud Certification Courses to learn GCP. Register now to kickstart to become Google Cloud Certified.
Google Cloud's "Google Cloud Platform Fundamentals" is excellent for beginners. Register for The Knowledge Academy’s Google Cloud Training to kickstart your career today!
To register for this Google Cloud Certification Course, please visit The Knowledge Academy’s course page, select your preferred dates from the Dates and Prices section, make the payment and avail the course materials.
You'll learn about cloud architecture, networking, security, data management, and machine learning, along with hands-on labs from these Google Cloud Certification Courses.
The duration of each Google Cloud Certification Course varies. Please refer to our course pages for specific information.
Topics covered in this Google Cloud Training include cloud architecture, networking, security, data storage, machine learning, and hands-on practical labs.
No special software is required as these Google Cloud Certification Courses use web-based tools and Google Cloud Platform resources.
Yes, the Google Cloud Certification course materials and Google Cloud Platform are accessible from Windows, Mac, and Linux operating systems.
These Google Cloud Courses use Python, Java, and SQL for hands-on labs and exercises.
Yes, data storage and databases are key topics covered in these Google Cloud Training Courses.
The Knowledge Academy provides flexible learning options including Online Instructor-led, Online Self-paced, Classroom, and Onsite training. These options allow you to take these Google Cloud Courses at your preferred pace, time, and location.
Should you encounter any difficulties accessing the Google Cloud Certification course materials, our customer support team is available to assist and promptly resolve any issues you may encounter.
Google Cloud offers robust data analytics and machine learning capabilities, competitive pricing, strong security features, global network infrastructure, and seamless integration with Google's ecosystem of tools and services.
The Knowledge Academy in Canada is 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 these Google Cloud Courses.
The Knowledge Academy is the Leading global training provider for Google Cloud Certification.
The training fees for Google Cloud Certification in Canada starts from CAD5195.
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