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Google Cloud Training

Online Instructor-led (1 days)

Classroom (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 Platform Fundamentals Course?

The Google Cloud Platform Fundamentals Training Course is designed for variety of roles that can benefit cloud-based solutions. This course can benefit professionals such as:

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

Prerequisites of the Google Cloud Platform Fundamentals Course

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

Google Cloud Platform Fundamentals Course Overview

This course teaches delegates about cloud platform fundamentals. This course focuses on networking, compute, storage, and database. Delegates will have a thorough understanding of Google cloud infrastructure, GCP regions, zones, edge caching, and cloud CDN. They will also gain an understanding of GCP networks, subnets, routes, and firewall rules.

This course will provide a comprehensive knowledge of Google compute engine machine types, instance, persistent disks, local SSDs, preemptible VMs. Delegates will get an understanding of how to deploy VMs with an App by console and command line. They will also acquire knowledge of Google compute engine instance templates, managed instance groups, and load balancing.

In this 1-day training, delegates will learn how to build a 3-tier web app with public front-end and private backend. Delegates will be familiarised with Google cloud storage, Google Cloud SQL, cloud spanner, Google cloud datastore, Google Cloud Bigtable and Google BigQuery. They will also gain knowledge of how to use gsutil command-line tool to perform operations on buckets and objects in cloud storage. At the end of this course, delegates will learn about Google cloud deployment manager and Google stack driver. They will gain an understanding of how to deploy infrastructure using a deployment manager.

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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)

Classroom (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 Training 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 Training Course.

Architecting Infrastructure with Google Cloud Platform Training​ Course Overview

Architecting with Google Cloud Platform focuses on designing and planning a cloud solution architecture, managing and provisioning the cloud infrastructure. Along with this, it also focuses on analysing and optimising technical and business process, managing implementations of cloud architecture and designing for security and compliance.

This course will teach delegates about the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. In this course, delegates will learn about cloud resource manager and cloud AMI. They will also gain an understanding of stack driver logging and monitoring. This course describes Google cloud storage, cloud storage security concepts, trace, error reporting, and debug concepts.  Delegates will learn how to manage databases on the Google cloud platform. They will also gain an understanding of virtual networks, interconnecting networks (hybrid networking) and virtual machines. In virtual machines, they will also learn about disks, images, snapshot and preemptible VM’s.

In this 3-day course, delegates will learn about load balancing and instance groups. They will gain an understanding of how to create a load-balanced managed instance group on google cloud. Delegates will learn how to deploy resources with Google cloud deployment manager. They will go through compute services, app engine, kubernetes engine, big data, machine learning, and data lifecycle. On course completion, delegates will also get an understanding of Google cloud, disaster recovery, security and compliance.

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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 (1 days)

Classroom (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 Course 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 Course.

Networking with Google Cloud Platform ​Course Overview

Networking is an essential element in any field of technology. Networking in the Google Cloud Platform helps to set up a network within networking options. Google Cloud Platform allows using numerous network resources and services from the cloud with the lowest latency. GCP provides key components such as Virtual Private Cloud (VPC) networks, subnets, Cloud NAT, interconnection among networks, NAT, load balancing, cloud DNS, and Cloud CDN for implementation of networks.

This 1-day course will provide a complete knowledge of networking on Google Cloud Platform. Delegates will learn how to design and deploy a network in the Google cloud platform. They will get an understanding of Google cloud VPC networking, sharing networks, hybrid connectivity, as well as load balancing in the Google Cloud Platform. From this course, delegates will acquire the troubleshooting skills to resolve the technical issues of networking.

On course completion, delegates will be able to design and deploy a network in Google Cloud Platform as well as manage the network in GCP.

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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 (1 days)

Classroom (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 Training 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 Training 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. It understands the fundamental concepts of the cloud and demonstrates wider cloud computing applications in a variety of applications. This training session explains the purpose and use cases of Google Cloud products that can be used to achieve desired business goals. Individuals with complete knowledge of Google Cloud Digital services will be able to work as digital leaders, solution architects, and other designations.

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. This course is led by our highly skilled and professional trainer, who has years of teaching experience.

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

At the end of this training, delegates will be able to digitalise data by detecting the Google Cloud services and products as well as leverage innovation across an organisation. They will also be able to modernise applications and infrastructure with Google Cloud in order to deliver modern 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 Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (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 Data Analytics is a comprehensive approach to extracting valuable insights and meaning from vast datasets using advanced tools and techniques. As a powerful tool in the world of data-driven decision-making, Google Data Analytics enables organisations to transform raw data into actionable intelligence, unlocking valuable business opportunities and optimising performance. By attaining expertise in Google Advanced Data Analytics, organisations can leverage data more effectively, leading to improved decision-making, increased operational efficiency, and enhanced overall performance. Google Advanced Data Analytics Professional Training Course enhances an individual’s technical expertise in data analytics as well as boosts their credibility. This training provides a clear pathway for career advancement and personal growth in the rapidly evolving field of data analytics.

During this 2-day Google Advanced Data Analytics Professional Training Course, delegates will learn how to collect, preprocess, and analyse large and complex datasets to extract valuable patterns. They will become proficient in data visualisation, enabling them to communicate findings effectively and make data-driven recommendations. Delegates will also learn various machine learning algorithms, including ensemble methods, neural networks, and natural language processing, empowering them to build predictive models and develop recommender systems. This training will be conducted by our highly professional and skilled trainer, who has years of experience in teaching.

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 Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (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 Training 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 Training Course.

Google Business Intelligence Professional Training Course Overview

Google Business Intelligence is a comprehensive set of tools, technologies, and processes that enable organisations to transform raw data into valuable insights, facilitating data-driven decision-making. Google Business Intelligence holds immense significance as it empowers organisations to harness the power of data for strategic planning, improved efficiency, and better customer understanding. By undergoing Google Business Intelligence Professional Training Course, organisations can establish a data-driven culture, where employees develop the skills to extract meaningful patterns from complex data sets. For individuals, this training offers the opportunity to become proficient in using BI tools and techniques, enabling them to contribute significantly to their organisation's success. This training opens doors to diverse career paths as data analysts, business intelligence specialists, data scientists, and other roles that demand analytical and strategic thinking skills.

During this 2-day Google Business Intelligence Professional Training Course, delegates will learn the process of creating a successful BI strategy, from identifying organisational goals to turning data into actionable insights. They will also learn about different categories of BI analysis and explore the criteria for choosing the right BI platform for their business. They will be introduced to various BI tools and technologies, enabling them to work with data efficiently. This training will be conducted by our highly professional and skilled trainer, who has years of experience in teaching.

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

After attending this Google Business Intelligence Professional Training Course, delegates will be able to choose the right BI platform for their specific business needs, ensuring efficient data integration, security, and usability. They will be able to implement Decision Support Systems, enhancing collaboration and knowledge sharing within their teams.

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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

Show moredown

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

Data Engineering with Google Cloud Platform Training Course Outline

The following modules are focused on acquiring knowledge about the Data Engineering on Google Cloud Platform. Delegates will learn about google cloud Dataproc and its running jobs as well as get an understanding of how to integrating Dataproc with Google Cloud platform. These modules will cover all essential concepts that required to become a Data Engineer on Google Cloud Platform.

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 Course 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 Course.

Data Engineering with Google Cloud Platform​ Course Overview

As we all know, Google is the curiosity Planner within Global technologies development. Google always responsible for changing the Curiosity to implementation the terms with perfections. The Google cloud platform provided numerous services for users and developers to develop future technologies and products. Google provides the data engineering service on its Google Cloud Platform. By collecting transforming and publishing data Engineer can enable data-driven for decision-making term. Data engineer can design, build, operationalise, secure and monitor data processing systems with a particular emphasis on security and compliance as well as scalability, efficiency, reliability and portability. Data engineer can able to leverage, deploy and continuously train pre-existing machine learning models.

This 3-day course provides the ability to implementation of data processing arrangements on the Google Cloud Platform. Delegates will learn about Google Cloud platform services are using for Data management. The Google cloud DataProc and its running Jobs concepts are also included in this course. Delegates will gain a better knowledge of how to design and build data processing systems on this platform as well as learn about process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. They also gain an understanding of how to integrating Dataproc with Google Cloud Platform. Also, Delegates have a chance to acquire technical knowledge of unstructured data with Google’s machine learning APIs and also gain an understanding of serverless Data Concepts from this course. They will gather knowledge of how to design a data processing system, build an end to end data pipelines, analyse data and machine learning.

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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 (2 days)

Classroom (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
  • Projectized 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 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 course is beneficial for various professionals including:

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

Prerequisites for the Google Project Management 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 individual’s 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 individuals 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 trainer, who has 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 Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (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: Labeling 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 Course?

The Google BigQuery Training 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 Course

There are no formal prerequisites for this Google BigQuery Training Course.

Google BigQuery Training​ Course Overview

BigQuery is Google’s fully managed, petabyte-scale, low-cost analytics data warehouse. It is an enterprise data warehouse that solves storing and querying massive datasets problem by enabling super-fast SQL queries using the processing power of Google’s Infrastructure. Delegates can access BigQuery by using command-line, by using Classic web UI or GCP console, or by making calls to the BigQuery REST API using a variety of client libraries such as Java, .NET, or Python.

This course teaches delegates about running and managing jobs, working with datasets, table schema, partitioned tables, clustered tables, and views. Delegates will acquire knowledge of how to add, view, update, filter, and delete labels in BigQuery resources. This course describes how to load data into BigQuery and querying BigQuery data. Delegates will learn how to query externally partitioned data, federated queries with cloud SQL data, query cloud big table data, cloud storage, and Google drive data. In addition, delegates will also gain an understanding of controlling BigQuery costs, securing BigQuery resources, monitoring, logging and BigQuery API.

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What’s included in this Google BigQuery Training Course?

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to Google Cloud Security Course Outline

Module 1: Introduction

  • Introduction to Google Cloud Security
  • Google Cloud Foundation Security Model
  • Google Cloud Foundation Design

Module 2: Project Deployment

  • Project Labels
  • IAM Permissions
  • Google Cloud APIs
  • Google Cloud Platform Projects

Module 3: Resource Deployment

  • Repository Structure
  • Foundation Creation and Branching
  • Foundation Pipeline and Workloads
  • Infrastructure Pipeline
  • Application Pipeline

Module 4: Authentication and Authorisation

  • Cloud Identity, Directory Provisioning, and Single Sign-on
  • Users and Groups
  • Privileged Identities

Module 5: Networking

  • Shared VPC
  • Hub-and-Spoke
  • IP Address Space Allocation
  • DNS Setup
  • Hierarchical Firewall Policies and VPC Firewall Rules

Module 6: Cloud Key Management

  • Cloud KMS
  • Cloud KMS Resource Organisation and Access Control
  • Cloud KMS Infrastructure Decisions
  • Customer-Managed Encryption Keys (CMEK)
  • Importing Keys into Cloud KMS

Module 7: Secret Manager and Logging

  • Secret Manager Infrastructure Decisions
  • Secret Manager Content Decisions
  • Logging and Monitoring 

Module 8: Detective Controls

  • Security Command Center
  • Security Sources
  • Setting up Basic Security Alerting
  • Vulnerability and Drift Detection
  • Active Threat Detection

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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 course can especially be beneficial to the following professionals:

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

Prerequisites of the Introduction to Google Cloud Security Course

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

Introduction to Google Cloud Security ​Course Overview

This course will teach the core fundamentals necessary to secure your Google Cloud environment properly and manage who has access to what resources. This course focuses on identity and access management, securing GCP network infrastructure, securing operating system and data.

In IAM, delegates will learn about GCP resource hierarchy, navigating IAM, adding IAM roles, service account, custom roles, and edit IAM policy. They will acquire knowledge of how to secure GCP network infrastructure. Delegates will go through Virtual Private Cloud, firewall basics, and automate firewall rules for a web server, and network IAM roles. This course describes how to secure your operating system. Delegates will learn about securing scaling instance groups, SSH keys and metadata, securing SSH access to Linux instances and IAM roles.

This course describes cloud storage IAM roles, ACLs, and database security. Delegates will learn about GCP logging and monitoring with stackdriver. They will also acquire knowledge of encryption on Google Cloud Platform and key management services.

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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

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Online Instructor-led (2 days)

Classroom (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 Training 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 is a comprehensive Training Course designed to equip developers with the knowledge and skills needed to build and deploy applications using Google Cloud Run, a serverless computing platform. Cloud Run offers a powerful and scalable solution, enabling developers to run applications in stateless containers, providing the flexibility to focus on code without worrying about infrastructure management. This training enables organisation to embrace the cloud-native approach, leading to faster application development and deployment cycles, reduced operational costs, and enhanced performance. For individual developers, mastering Cloud Run opens up exciting career opportunities.   

The Knowledge Academy’s 2-day Application Development with Cloud Run Training Course provides delegates with a comprehensive set of skills and knowledge essential for building and deploying modern serverless applications on Google Cloud Run. During this training, they will learn about the fundamentals of cloud-native development, introducing delegates to the concepts of containerisation and serverless computing and many more. This course will be led by our highly skilled and knowledgeable trainer, who has years of experience in teaching and will help delegates get a complete understanding of this course.   

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 Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (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 Course 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 Course.

Google Search Appliance Fundamentals Course Overview

This course teaches delegates how to administrate and customise their Google Search Appliance. This course focuses on crawling and indexing documents from the web server and file system, using feeds and connectors to insert content into the index. Along with this, delegates will also learn how to implement one box modules, modify the presentation of search results, and implement security when serving results.

In this course, delegates will acquire knowledge of how the continuous crawler locates and indexes content. They will also learn about how to create, manage, and test front ends with the page layout helper. This course describes how Onebox modules integrate with enterprise applications and learn the difference between internal and external one box modules.

During this course, delegates will gain an understanding of how feeds integrate with content management systems. They will also learn how to create and submit different types of feeds: web, metadata and content. In this 2-day course, delegates will gain an understanding of how to implement directory service (LDAP) integration and forms authentication security.

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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)

Classroom (2 days)

Online Self-paced (16 hours)

Developing Applications with Google Cloud Platform Course Outline

The Course is based on how to develop applications with the Google Cloud Platform. The following modules are arranged to provide better knowledge of application development, Google Cloud SDKs, Data storage options, debugging, and Monitoring performance for application development.

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 Course is suitable for anyone who want 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 individuals such as:

  • 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 Course.

Developing Applications with Google Cloud Platform Course Overview

The Google Cloud Platform provides Platform as a Service (PaaS), Infrastructure as a service (IaaS), and Serverless computing environments. Google cloud platform is allowed to develop and maintain applications. The app engine is a platform for developing and hosting web applications in Google-managed data centres. There are many alternative cloud platforms that provides managed and better tools for developing applications. But, Google provides future proof infrastructure and the services at high availability to develop applications.

In this 2-day course, delegates will get a complete understanding of how to develop applications with GCP and its essential terms. Delegates will learn how to design, develop and deploy applications. This course teaches how to use GCP services and pre-trained machine learning API to build scalable, secure, and intelligent cloud-native applications. Delegates will learn about data storage options for the application's data as well as they will gain knowledge of debugging, trace and monitor applications. In addition, they will also learn about deployment services and runtime environments, such as Google Container.

On course completion, delegates will be able to develop applications with GCP as well as manage deploying applications.

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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

Show moredown

Online Instructor-led (2 days)

Classroom (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 Course is suitable for anyone who want 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 individuals such as:

  • 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 Course.

Google Cloud Compute Engine Course Overview

Compute Engine allow to create and run virtual machines on Google Cloud Infrastructure. It offers scalable performance, and value that enables you to launch large compute clusters quickly on Google’s infrastructure. Delegates can run thousands of virtual CPUs on a system that has been designed to be fast and to offer strong consistency of performance.

This course teaches delegates how to create and connect VM instances. Delegates will learn how to create, delete, and depreciate custom images. They will also learn about sharing images, snapshots, and disks across projects. This course describes how to export and import custom images and VM instances. Delegates will get an understanding of how to create and manage groups of instances.

During this Google Cloud Compute Engine training, delegates will learn how to create a PTR record for a VM instance. They will also acquire knowledge of how to deploy containers, scale application, monitor activity, label resources, and grant access to compute engine resources. In this 2-day course, delegates will learn how to migrate VMs and enable nested virtualisation for VM instances.

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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)

Classroom (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 Training Course.

Google Cloud Storage Training​ Course Overview

Google Cloud Storage provides managed cloud storage at any time with high availability. It is used for serving website content, storing data for archival and disaster recovery or distributing large data objects. It is also integrated storage into apps within a single unified API. This is Designed for secure and durable storage. Google Cloud Storage Included Access data instantly from any storage class. From this Google Cloud Technology, User can easily store data in the cloud to get secure and highly available object storage at the lowest latency. Apart from Cloud Storage Product, Google Cloud Platform also provides more storage products such as Persistent Disk, Cloud File store, cloud storage for firebase, data transfer services and drive enterprise.

This 1-day course will teach about Cloud Storage provided by Google Cloud Platform. Delegates will learn about key terms of Google Cloud Storage. This course provides a better knowledge of Storage classes and buckets. Delegates will get an understanding of access control of the Google Cloud Platform to use the storage services of GCP. For security perspective, the topic of encryption is also included in this course. From the encryption options and keys concepts, delegates will get an understanding of the security strategies, and they can entirely use encryption options. Beside this, delegates will get familiarised with the concept of authentication. Learners will also gain knowledge of how to use Google Cloud Platform user interface.

After the course completion, delegates will be able to create cloud storage and manage accordingly. They will also work with Google Cloud Buckets and objects to get the skill for Google Cloud Storage.

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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)

Classroom (1 days)

Online Self-paced (8 hours)

Developing with Google App Engine Training Course Outline

This course will provide accurate and essential knowledge of Google App Engine. This course is created to provide knowledge of Google App Engine to delegates. The following modules are arranged in a way that will teach about the working process of Google App Engine from basic to advanced concepts.

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 App Engine is a fully managed, serverless platform to develop and host web applications at scale. Google App Engine supports various popular languages, libraries, and a framework for developing applications. Based on demand, Google App Engine provision servers and scale app instances. It provides two environments – standard and flexible. There is no need to maintain or provision a server for development as it provides built-in services as a requirement.

This 1-day course will teach about Google App Engine and its essential terms. Delegates will learn about how to integrate with other Google products as well as establish a workflow. Delegates will gain an understanding of App Engine on Windows as well as app engine services. Delegates will acquire knowledge of how to work with images, style sheets, and other static files. They will get familiarised with Python and App Engine. In addition, delegates will work with HTML variables and HTML Templates.

During this course, delegates will learn about implementing App Engine Storage. Delegates will also learn about request handlers and instances, DataStore Entities, Datastore Queries, and managing the request logs. On course completion, delegates will be able to develop scalable web and mobile applications on Google’s infrastructure and manage applications on Google App Engine.

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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

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Online Instructor-led (1 days)

Classroom (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 individuals 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 Training Course.

Google Cloud Dataflow Training Course Overview

Cloud Dataflow is a fully managed service for transforming data in stream and batch modes with equal reliability. This course teaches delegates how to deploy batch and streaming data processing pipelines using Dataflow, including directions for using service features. The Apache Beam SDK is an open-source programming model enabling delegates to develop batch and streaming pipelines. They create their pipelines with an Apache Beam program and then run them on the Dataflow service.

In this 1-day course, delegates will acquire knowledge of how to create and deploy pipeline. They will also learn how to troubleshoot, update an existing pipeline, and stop running pipeline. This course describes Google provided templates and how to create and run templates. Delegates will get an understanding of how to configure internet access and firewall rules. In addition, they will also learn how to use cloud pub/sub seek with cloud dataflow and create a cloud dataflow SQL jobs.

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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)

Classroom (1 days)

Online Self-paced (8 hours)

Google Cloud Spanner Training Course Outline

Module 1: Overview of Google Cloud Spanner

  • Introduction
  • Features
  • Manage Data Using the Google Cloud Console
  • Setup and Install the gcloud CLI and Set Up the Cloud Spanner API
  • Create and Query a Database Using gcloud CLI

Module 2: Work with Instances

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

Module 3: Work with Databases

  • Overview
  • Create and Manage Databases
  • Create a Cloud Spanner Database
  • Prevent Accidental Database Deletion
  • Modify the Leader Region of a 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: Migrate to Cloud Spanner

  • Migration Overview
  • Primary Keys
  • Migrate from DynamoDB
  • Migrate from MySQL
  • Migrate from Oracle
  • Migrate from PostgreSQL
  • Import and Export Data

Module 8: 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 Course

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

Google Cloud Spanner Training ​Course Overview

Cloud Spanner is a scalable, enterprise-grade, globally distributed, and strongly consistent database service built for the cloud to combine the benefits of relational database structure with non-relational horizontal scale. This training will allow organisations to facilitate global online transaction processing deployment, SQL semantics, highly available horizontal scaling, and transactional consistency. This course will teach students about the spanner universe and how to apply transactions across rows, columns, tables, and databases. Individuals with Google Cloud Spanner knowledge and skills will be able to obtain high-paying jobs and advance up the success ladder. 

In this 1-day Google Cloud Spanner Training course, delegates will gain a comprehensive understanding of how to design, deploy, and manage a globally distributed database using Google Cloud Spanner. They will also gain the knowledge and skills required to build cloud-native applications that can handle real-time data and scale seamlessly across regions. Our highly expert trainer with years of teaching experience will conduct this course and help delegates understand all necessary topics.

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)

Classroom (1 days)

Online Self-paced (8 hours)

Google Cloud Firestore Training Course Outline

This outline focuses on providing a complete essential component of Google Cloud Firestore. The following modules are arranged to get a better understanding of this technology.

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 Course?

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 Course

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

Google Cloud Firestore Training Course Overview

Google Cloud Firestore is a fully managed database service by Google on the Google Cloud Platform. It is a highly scalable database service. While the cloud Firestore interface has almost the same database features as traditional databases and NoSQL databases, but still it differs from them by its relationships between data object. It also provides a facility to analytic data and transaction data. Google Cloud Firestore is built upon Google’s Bigtable and Megastore technology. Cloud Firestore is a NoSQL documents database built for automatic scaling, high performance, and ease of application development. It also offers transactions that affect multiple databases and scale automatically to handle loads. Cloud Firestore is a highly-scalable NoSQL database for the application as well as it automatically handles sharding and replication, providing high availability and durability of a database that scales automatically to handle applications’ load.

This 1-day course will provide a complete knowledge of Cloud Datastore and its essential terms. Delegates will become familiarised with all the concepts of Google Cloud Firestore. From this course, delegates will get an understanding of entities, properties and keys as well as learn more about database queries. Within this course, delegates will also gain knowledge of indexes and transactions terms of cloud firestore in datastore mode.

During this course, delegates will get an understanding of how to handle errors. On course completion, delegates will become familiarised with the functionality of Google cloud datastore mode. In addition, they will be able to use features of the datastore mode interface accurately.

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

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

Show moredown

Online Instructor-led (1 days)

Classroom (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 Course.

Big Data and Machine Learning with Google Cloud Platform​ Course Overview

This course introduces delegates to the big data and machine learning capabilities of Google Cloud Platform. It provides an overview of the Google Cloud Platform and then dives into the data processing capabilities. Delegates will learn about the Google cloud platform big data products and will acquire knowledge of how to compute and store. They will learn how to set up ingest transform publish data processing pipeline.

In this 1-day course, delegates will get an understanding of how to import data into cloud SQL and run queries and machine learning recommendations with Spark on Dataproc. Delegates will get familiarised with fast random access, Datalab, and BigQuery. They will learn how to build machine learning datasets and machine learning with TensorFlow.

At the end of this course, delegates will learn about data processing architectures: message-oriented architectures with Pub/Sub and creating pipelines with dataflow.

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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

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Google Cloud Bigtable Training​ Course Outline

This course is based on the Google Cloud Bigtable and its essentials terms to acquire the skills of designing and managing the database. Technically, this outline is designed to provide the best knowledge of the design database. So let's start with this course and acquire excellent skills to work on Google Cloud Bigtable.

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 Visualizer
  • 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

Show moredown

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 Training Course.

Google Cloud Bigtable Training​ Course Overview

The Google Cloud Bigtable is Google’s NoSQL and fully managed database service. It is responsible for managing the database and handling the configuration as well as tuning of the database. This technology sparsely populates a table that can scale to billions of rows and thousands of columns, enabling to store terabytes or even petabytes of data. Cloud Bigtable is perfect for storing large amounts of single-keyed data with very low latency. It performs read and write throughput at low latency and is an ideal data source for MapReduce operations. It exposed to applications through multiple client libraries. Cloud Bigtable integrates easily with popular big data tools such as Hadoop, Cloud, Dataflow, and Cloud Dataproc.

This 1-day course will provide a comprehensive knowledge of Google Cloud Bigtable and its essential terms. Delegates will learn about how to design a database with Google cloud Bigtable schema and storing time-series data. From this course, they will get an understanding of how to create and manage instances. For manage instances, delegates will acquire the skills of data storage selections, handling labels, modifying and monitoring strategies as well as managing data. Delegates will also get a better understanding of garbage data collections, the configuration of garbage collection and understand the concept of storing sequential numbers in timestamps. The troubleshooting for resolving the real-time issues is also included in this course.

On course completion, delegates will be able to design a database with Google Cloud Bigtable schema and manage the database for an application as well as troubleshooting with key Visualiser.

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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)

Classroom (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. The Python with Google Cloud Platform Training 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 Training Course.

Python with Google Cloud Platform Training​ Course Overview

Google Cloud Platform is a cloud computing platform that provides a wide range of services for building and deploying applications. Python is a popular programming language that is commonly used for data analysis, web development, and automation tasks. Using Python with Google Cloud Platform allows developers to take advantage of the platform's powerful features and services, while also leveraging the flexibility and ease of use of Python. Python applications can be deployed to Google Cloud Platform using several different deployment options, including App Engine, Kubernetes Engine, and Compute Engine.

The Knowledge Academy’s 1-day Python with Google Cloud Platform training course provides delegates with in-depth knowledge of how to install Python, statements, blocks, input () functions, operators, flow control, Google Cloud Infrastructure, loops, networking, creating Django super user passwords, and many more. This course will be taught by our expert trainers who have years of experience in teaching courses. 

This training will cover various concepts, such as: 

  • Importance of using Python with Google Cloud Platform
  • How to install and import the libraries?
  • Tips for Optimising Performance
  • Debugging and Troubleshooting Common Issues
  • Overview of Different Deployment Options

Overall, Python and Google Cloud Platform offer a powerful combination for building and deploying scalable and reliable applications in the cloud.

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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

Show moredown

Online Instructor-led (1 days)

Classroom (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 Course?

The Google Cloud Training Course is designed for professionals who want to get better at building and managing cloud-based applications via the Google Cloud Platform. The Google Cloud Training 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 Training Course.

Google Cloud Training​ Course Overview

Google Cloud comprises physical assets like computers and hard disc drives and virtual resources like Virtual Machines (VMs), all of which are housed in Google's data centres across the world. It assists users in developing their website or application on Google Cloud by allowing them to mix and match services for creating the ideal infrastructure. For organisations, it provides immense benefits, such as assisting them in making more intelligent decisions, securing information with advanced security tools, cutting costs, increasing efficiency, optimising spending, etc. This training course aims to provide individuals with the knowledge and skills required to use the Google Cloud Platform and achieve significant career progression opportunities.

In this 1-Day Google Cloud Training course, delegates will learn about Google Cloud, its resources, and developer tools. They will know how to manage Google identities, how to federate their identity provider to Google Cloud, how to migrate unmanaged accounts and control access of resources, etc. Further, they will gain in-depth knowledge about various techniques used to migrate to Google Cloud. Our highly skilled and professional trainer will conduct this training and have years of experience teaching Google Cloud Training courses.

This course will also cover various essential concepts, such as:

  • Creating a service account
  • Cloud console
  • Setting the environment variable
  • Securely authenticate applications in Google Cloud
  • Assessing and discovering workloads
  • Building foundation

After attending this training 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 to Google Cloud and manage access control and permissions for groups of related resources.

After completing this course, delegates can also choose our other popular courses under Google Cloud Training such as Google Cloud Platform Fundamentals, Introduction To Google Cloud Security, Google Cloud Storage Training, Big Data And Machine Learning With Google Cloud Platform, and many more to increase their competency within their role, which can be applied to any organisation successfully.

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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)

Classroom (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?

The Professional Collaboration Engineer Training 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

The Professional Collaboration Engineer Training demands a foundational understanding of IT concepts, including basic networking and cloud computing. 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 is the person who alters business ideas into perceptible policies, configuration, and security of content, user, and integrations. They enable people to communicate, access data, and work together. Collaboration engineer is responsible for providing backend configuration, operational and engineering support, and creating social documentation. Studying this training will help learners to monitor organisational operations and workspace access. It trained end-users, improve operational efficiency, and upgrade their skillset. Possessing the ability to manage various resources and implement Google suite authorisation will help individuals to work as senior collaboration engineers and get other highly paid jobs.

In this 1-day Professional Collaboration Engineer Training course, delegates will gain a comprehensive knowledge of object management and how to setup and configure Google mail. During this training, delegates will learn about configuring and managing Google groups for business. They will learn about managing users, and calendar resources, configuring shared drives classifying and mitigating basic email attacks. Our highly professional tutor with years of teaching experience will conduct this course and help delegates to understand the duties and responsibilities of a collaboration engineer.

Delegates will also cover various essential topics, such as:

  • Interpret reports for the business
  • Describe how to import and export data
  • Describe how to manage third-party applications
  • Troubleshoot workspace access and performance
  • Configure and implement data governance policies
  • Troubleshoot user reports of mail delivery problems

At the end of this 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)

Classroom (1 days)

Online Self-paced (8 hours)

Google Cloud Developer Professional Training 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 Professional Training Course?

The Google Cloud Developer Professional Training 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 for the Google Cloud Developer Professional Training Course

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

Google Cloud Developer Professional Training Course Overview

The Google Cloud Developer Professional Training is a comprehensive program designed to help developers gain the skills and knowledge needed to design, build, and deploy scalable and reliable applications on the Google Cloud Platform. This training will assist learners to create and configure virtual machines, manage Kubernetes clusters, use serverless computing and cloud functions, implement app engine applications, and more. Pursuing this training equips students with the necessary abilities and approaches that will ultimately improve their employment chances and income. 

In this 1-day Google Cloud Developer Professional Training, delegates will gain a deep understanding of networking services. The training also covers storage and database services, such as Cloud Storage, Cloud SQL, NoSQL databases, and Cloud Spanner. During this training, delegates will learn about security concepts are also addressed, including user access and permissions, network security, and compliance and regulatory requirements. Our highly skilled and professional instructor, who has years of teaching experience, will conduct this training and equip delegates with the required skills.  

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 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 Professional Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Google Cloud Developer Professional 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 01344203999 or Enquire.

Google Cloud Training FAQs

FAQ's

Google Cloud Platform is a suite of Cloud Computing services that runs the infrastructure services. It has key services such as compute, storage and databases, networking, Big Data, Cloud AI, Management Tools, Identity and Security, Internet of Things (IoT), API Platform, etc.
The following are the various components of the Cloud Platform: • Google Computer Engine • Google Cloud Container Engine • Google Cloud App Engine • Google Cloud Storage • Google Cloud Dataflow • Google BigQuery Service • Google Cloud Job Discovery • Google Cloud Endpoints • Google Cloud Test Lab • Google Cloud Machine learning Engine
Google Cloud Hosting provides high availability services at the lowest latency. The following are key points to choose Google Cloud for hosting. • Benefits of live migration of the machines • Enhanced performance and execution • Commitment to constant development and expansion • The private network provides efficiency and maximum time • Strong control and security of the cloud platform • Inbuilt redundant backups ensure data integrity and reliability
The Knowledge Academy is the Leading global training provider for Google Cloud Training.
The price for Google Cloud Training certification in the United Kingdom starts from £1295.

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