Google Cloud Certification Training - Cloud Architect

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Google Cloud Platform Introduction


•    Google Cloud Platform (GCP) Infrastructure
•    Compute resources
•    Networking Services
•    Storage and Database offering
•    Bigdata and AI services
•    Basics of GCP Project
•    Introduction to Primitive role


Managing GCP Services


•    Managing GCP environment with GCP console
•    Control GCP environment using CLI
•    GCP environment management using Cloud Shell
•    GCP environment management using Gcloud
•    GCP environment management using Gsutil
•    Install and configure cloud SDK


GCP Networking Services


•    Cloud Virtual Network
•    Virtual Private Network
•    Virtual Private Cloud
•    Proxies / Gateway and Endpoints
•    Network/Subnetwork
•    DNS Resolution
•    Firewalls and Routes
•    Cloud Router
•    Interconnecting networks
•    Security aspect


GCP IAM and Security Services


•    Understand Identity and Access Management (IAM)
•    Understanding Organizations, Roles, Members, Service accounts,         Policy
•    Policy Hierarchy
•    Understanding different role and permission
•    Creating custom role
•    Basic IAM APIs
•    Best Practices
•    Key Management Systems
•    Data security
•    Resource Sharing and Isolation
•    Auditing
•    Penetration testing
•    Security controls


GCP Compute Services


•    Understand Compute Engine
•    Understand and implement Compute options (vCPU and Memory) specific to workload
•    Persistent disk – HDD, SSD
•    Load Balancing
•    Common Compute Engine actions


GCP Storage & Database Services


•    Understand Cloud Storage – Nearline, Coldline
•    Cloud SQL
•    Cloud Spanner, Cloud Datastore
•    Cloud Bigtable
•    Pros and cons of storage option and how to choose
•    Understanding Billing aspect of storage options
•    Tradeoff of storage options
•    Integration with on premises/multi-cloud environment




•    Understand Containers and their benefits
•    Kubernetes Engine, Container Registry
•    How to use Kubernetes Load Balancing
•    How to choose Kubernetes Engine, App Engine, or  Containers on Compute Engine


Cloud Dataflow for Data Processing


•    Dataflow services
•    Stream and Batch processing
•    Apache Beam SDK
•    Monitoring using Stackdriver
•    Data transformation with Cloud Data flow
•    Working with Dataproc
•    Creating Cluster
•    Managing cluster
•    Automation of jobs

GCP APIs & Development Services

•    Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
•    Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs
•    App Engine
•    How to use Google Stackdriver : Overview, Integration, Monitoring, Logging, Error reporting, Tracing


GCP DevOps Services


•    Setup CI/CD
•    Setting up Jenkins on Container engine
•    Deploy application on Jenkins
•    Create deployment pipeline in Jenkins
•    Create and Deploy on cluster
•    Deploy development and production environment
•    Analysis & Troubleshooting


Designing & Implementing GCP Migration


•    Collect and Analyze metrics
•    Evaluate and choose an automation framework for provisioning resources in cloud
•    Design strategy
•    Create Migration Plan


GCP Cloud Architect Exam Case Studies


•    Understand JencoMart case study
•    Understand Mountkirk Games case study
•    Understand Dress4Win case study
•    Understand TerramEarth case study

Complimentary sessions on communication presentation and leadership skills.

Benefits from the course

Mode of Teaching

Live Interactive

Google Cloud Certifications are the world’s most prestigious certifications. Google Cloud Platform is ranked as the world’s third largest cloud provider. The world-renowned services such as Google Search and Youtube are also hosted on the Google Cloud, which means applications which will be hosted on GCP will share the same world class infrastructure used by other Google products.

After completing this Google Cloud Certification training, you should be able to:

  • Understand Google Cloud Platform concepts and terminologies
  • Understand GCP products and services
  • Learn methods to develop, implement, and deploy solutions
  • Distinguish between features of similar or related products and technologies
  • Learn to work with the Compute Engine, Cloud Storage, Cloud SQL and Big Query GCP services
  • Manage GCP environments using three different methods (Console, App, Command-Line)
  • Develop knowledge of solution patterns -- methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities
  • Understand basics of Big Data and Machine Learning services of GCP


  • Google Cloud Certification Training requires no specific pre-requisites. Any professional who understands IT Service Management can join this course. There is no programming knowledge needed and no prior Cloud experience required for this course.

Course Duration:

36 Hours

Class Hours:

2 Hours Day time slots or 3 Hours week end Slots (May change)

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