Google Cloud Architect Certification

Data Science with Python training Ernakulam Kerala
This GCP certification course will enable you to design, develop, and manage a robust, secure, and highly available cloud-based solution for your organizations needs.
It is best suited for:
  • Individuals looking to establish their credibility and value in the market as experienced Cloud Architects
  • Professionals aspiring to clear the Google Cloud Certified Professional Cloud Architect exam
  • System Administrators
  • Cloud Professionals
  • Solutions Architects
  • Infrastructure Architects
  • Site Reliability Engineers
  • Technical Leads
  • Understand the Google Cloud Platform (GCP)
  • Learn About GCP Services - Compute Services, Networking Services, Storage Services, Big Data and Artificial Intelligence Services, Tools and Operations
  • Manage Google Cloud Platform with Console and Command Line
  • Work with gcloud, gsutil, and other Command Line Tools
  • Create static, dynamic, and cloud routes
  • Use GCP firewall rules and demonstrate how to use VPC peering
  • Handle traffic using autoscaling
  • Set IAM Policy at different levels
  • Work with KMS
  • Demonstrate the use of Compute Engine and Virtual Machines
  • Use Data Service Options in GCP
  • Create Kubernetes cluster in GCP using GKE
  • Demonstrate App Engine and Recall Cloud Functions
  • Demonstrate the use of Cloud Source Repository
  • Use cloud logging and monitoring services
  • Use the Deployment manager
  • Demonstrate how to use managed Services

1. Introduction to Google Cloud Platform

Learning Objective:Understand what cloud computing is and the Google Cloud Platform in this Google Cloud Architect training module. Also, learn about the various Google Cloud Platform Services. .

  • Introduction to Cloud Computing 
  • Overview of Google Cloud Platform
  • Useful Links and Documentation
  • Google Cloud Platform Resource Overrview : Compute 
  • Google Cloud Platform Resource Overview : Networking 
  • Google Cloud Platform Resource Overview : Storage 
  • Google Cloud Platform Resource Overview : Big Data and Artificial Intelligence  
  • Google Cloud Platform Resource Overview: Tools and Operations

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2. Managing GCP

Learning Objective:Manage the Google Cloud Platform using Console or using the Command Line Tool. In this module you will learn how to use different Google Cloud utilities such as gcloud, gsutil, etc.

  • Managing Google Cloud Platform with Console 
  • Managing Google Cloud Platform with Command Line 
  • Google Cloud SDK Installation 
  • Understand gcloud, gsutil, and other Command-Line Tools
  • Google Cloud Platform Projects and Billings
  • Understand GCP Projects 
  • Project User Roles

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3. Virtual Networks

Learning Objective: In this module you will learn about GCP networking concepts and how to setup your network topology. Understand VPC fundamentals, Load Balance traffic using a cloud load balancer, and deploy a VPN Gateway.

  • Global Footprint: Regions, Zones, and Edge Locations
  • Virtual Private Cloud
  • Cloud Load Balancing
  • Virtual Private Network

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4. Security & Identity Fundamentals

Learning Objective: In this Google Cloud training module you will learn Identity and Access management with several management tools that GCP offers.

  • Overview of IAM
  • IAM Service Account
  • Identity Aware Proxy (IAP)
  • Cloud KMS

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5. Compute Services

Learning Objective: In this Google cloud architect certification course module, you will utilize different Compute Engine services and deploy a Virtual Instance using the console. Also, create a auto-scaled managed instance group and learn how to save snapshots and images.

  • Continuous Delivery
  • Azure Release Pipeline
  • Deployment Patterns
  • Release Tools
  • Tasks and Templates
  • Integrating Secrets with Release Pipeline
  • Automating Health Inspection

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6. Data Storage Services

Learning Objective: In this Google Cloud platform training module, you will understand and learn how to deploy different Data Storage services offered by GCP such as Google Cloud Datastore, Cloud Spanner, etc.

  • Data Service Options
  • GCP Storage
  • Cloud SQL
  • Cloud Spanner
  • Cloud Datastore and Cloud Firestore
  • Cloud Bigtable

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7. Architecting with Google Kubernetes Engine

Learning Objective: In this Google Cloud platform training module you will understand how to manage containerized clusters using GCP tools such as Container Registry and Google Kubernetes Engine.

  • Monolithic and Microservice Architecture
  • Containers
  • Docker
  • Kubernetes
  • Google Kubernetes Engine
  • Helm Package Manager

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8. Application Development

Learning Objective: Learning Objective: In this Google Cloud online training module, you will learn how to use Google Cloud App Engine, Cloud Run and Cloud Functions to manage your application on cloud.

  • Compute Service and App Engine
  • Cloud Function
  • Cloud Run
  • Cloud VMware Engine

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9. DevOps

Learning Objective: In this Google cloud architect certification course module, you will understand DevOps Practices and utilise GCP Services such as Cloud Source Repository, Logging and Monitoring Service, Jenkins with GKE and so on to manage your DevOps Environment.

  • DevOps
  • Cloud Source Repository
  • Jenkins with Google Cloud
  • Cloud Logging Services
  • Cloud Monitoring Service

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9. Automation

Learning Objective: Learning Objective: During this Google Cloud computing course, you will use the Google Cloud Deployment Manager to manage GCP resources and services for your application.

  • Cloud Resources
  • Configuration
  • Template
  • Deployment Manager

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9. Big Data and AI Services

Learning Objective: In this Google Cloud certification training module, you will understand the various Managed Services offered by GCP and deploy a streaming pipeline with Dataflow templates.

  • Managed Services
  • Dataflow
  • Pub/Sub
  • BigQuery
  • Datalab

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