Google Cloud Platform Architect – Training & Certification


The Google Cloud Platform, or GCP is a suite of cloud computing services offered by Google. It offers management tools and modular cloud services like computing, data storage, data analytics, machine learning, etc. across IaaS, PaaS as well as serverless computing environments. With Google Cloud Platform, one can run their apps whenever and wherever they need them, make smarter, informed decisions, increase efficiency, and power their workloads on a net carbon-neutral cloud.

The Google Cloud Platform Architect has been ranked as one of the top paying IT certifications. Cognixia’s GCP Architect Training will help you advance your career in cloud architecture and help you prepare thoroughly to earn the official industry-recognized Google Cloud Professional Cloud Architect Certification. A Professional Cloud Architect can help organizations leverage the Google Cloud Platform and use their understanding of GCP to design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

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Course Delivery

This course is available in the following formats:

Live Classroom 
Duration: 12 days

Live Virtual Classroom
Duration: 12 days

What You'll learn

  • Overview of cloud computing
  • Introduction to Google Cloud Platform
  • Designing, planning, managing, and provisioning cloud solution architecture on GCP
  • Developing and deploying cloud-based, scalable, fault-tolerant enterprise applications using microservices architecture on GCP
  • Hybrid and multi-cloud computing
  • Google App Engine and Apigee Edge
  • Google Cloud Platform for Big Data and Machine Learning

This GCP training is highly recommended for experienced individuals interested in building a successful career in cloud computing, especially working with the Google Cloud Platform.
Some of the professionals who would find this training highly useful include:

  • Principal architects
  • Cloud architects
  • Cloud data architects
  • Cloud functions technical architects
  • Cloud solutions architects
  • database architects
  • Infrastructure designers
  • User experience designers & architects


  • Fundamentals of GCP
  • What is cloud computing?
  • How did we get here?
  • Every company is a data company
  • GCP computing architectures
  • The Google network
  • GCP regions and zones
  • Environmental responsibility
  • Customer-friendly pricing offered by Google
  • Open APIs
  • Why choose the Google Cloud Platform
  • Multi-layered security approach
  • Budgets and billing
  • The Google Cloud Platform resource hierarchy
  • Identity Access Management (IAM)
  • IAM roles
  • Interacting with the Google Cloud Platform
  • The Cloud marketplace (formerly Cloud Launcher)
  • Demonstration: Getting started with Cloud Launcher
  • Virtual Private Cloud (VPC) Network
  • Compute engine
  • Important VCP capabilities
  • Demonstration: Getting started with the Compute Engine
  • Introduction to the Google Cloud Platform storage options
  • Cloud storage
  • Cloud storage interactions
  • Google Cloud Bigtable
  • Google Cloud SQL and Google Cloud Spanner
  • Google Cloud Datastore
  • Storage options
  • Demonstration: Getting started with cloud storage and cloud SQL
  • Containers, Kubernetes, and the Kubernetes engine
  • Introduction to Kubernetes and GKE
  • Introduction to hybrid and multi-cloud computing (Anthos)
  • Lab introduction: Getting started with the Kubernetes engine
  • Demonstration: Getting started with the Kubernetes engine
  • Introduction to the app engine
  • Standard environment in the Google app engine
  • Flexible environment in the Google app engine
  • Google cloud endpoints and Apigee Edge
  • Demonstration: Getting started with the App engine
  • Development in the cloud
  • Deployment: Infrastructure-as-code
  • Monitoring: Proactive instrumentation
  • Demonstration: Getting started with the Deployment manager and Stackdriver
  • Introduction to big data and machine learning
  • Google Cloud Big Data Platform
  • Cloud Dataflow
  • BigQuery
  • Cloud Pub/Sub and Cloud Datalab
  • Google Cloud Machine Learning Platform
  • Machine learning APIs
  • Demonstration: Getting started with BigQuery
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The prerequisites for this Google Cloud Platform Architect Certification are:

  • Knowledge of Google Cloud Platform or any other cloud platform
  • Basic knowledge of command-line tools
  • Basic knowledge of Linux operating system environments
  • Prior experience in managing & deploying applications, either on-premise or on a public cloud environment

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Once all the sessions of the course are completed, you will be evaluated on the basis of multiple parameters such as your attendance in the sessions, your scores in multiple-choice questions-based assessment, etc. Based on your overall performance, you will receive a course completion certificate from Cognixia.