Course 775:
Google Cloud Platform for Azure Professionals

(1 day)


Course Description

The Google Cloud Platform for Azure Professionals 1-day course introduces you to GCP core services and common solutions. It provides you with the fundamentals to become more proficient in identifying GCP services so that you can make informed decisions about IT solutions based on your business requirements and get started working on GCP. This course is geared towards students with prior cloud experience using Microsoft Azure. Basic cloud computing knowledge is assumed and comparisons with Azure services are made to help students more easily move to GCP.

Learning Objectives

  • Get started with GCP projects, services, security, and tools
  • Deploy infrastructure using GCP networks and virtual machines
  • Store binary, relational, and NoSQL data using Google managed services
  • Create fully managed Kubernetes clusters using Google Kubernetes Engine (GKE)
  • Automate application deployment using GCP platform services: App Engine, Cloud Functions, Cloud Run
  • Process and analyze data using GCP big data services: Dataproc, Dataflow, BigQuery
  • Leverage Google’s machine learning APIs and tools

Who Should Attend

Students with prior cloud computing and/or Microsoft Azure experience who are looking for a comprehensive, hands-on introduction to using Google Cloud Platform.

Course Outline

  • Getting Started with Google Cloud Platform
    • Introduction to Google Cloud Platform
    • GCP Basics
    • Identity Access Management (IAM)
    • Tools
  • Networks and Virtual Machines
    • Comparing GCP vs. Azure IaaS
    • Networking
    • Compute Engine
    • Load Balancing and Autoscaling
  • Data Storage Options
    • Comparing GCP vs. Azure Data Services
    • Storing Binary Data
    • Relational Databases
    • NoSQL Databases
  • Google Kubernetes Engine
    • Comparing GKE and AKS
    • Containers
    • Kubernetes
    • Google Kubernetes Engine (GKE)
  • Platform as a Service
    • Comparing GCP vs. Azure PaaS
    • App Engine
    • Cloud Functions
    • Cloud Run
  • Data Processing and Analytics
    • Comparing GCP vs. Azure Big Data Services
    • Big Data Processing
    • Data Processing Pipelines
    • Streaming Data
    • Data Warehousing and Visualization
  • Machine Learning
    • Google’s Machine Learning APIs
    • AutoML
    • BigQuery ML


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