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Google Cloud Platform Fundamentals for AWS Professionals (GCP-FAP)

Course Description Schedule Course Outline

Detailed Course Outline

Module 1: Introducing Google Cloud Platform

  • Google Cloud infrastructure.
  • AWS regions, availability zones, and CloudFront.
  • GCP regions, zones, edge caching, and Cloud CDN.
  • GCP services.

Module 2: Setting up Accounts and Billing

  • AWS accounts, billing, and IAM roles.
  • GCP accounts, billing accounts, projects, and admin setup.
  • Account, billing, project, and admin setup.
  • Lab: Set up projects and billing accounts with a free-trial GCP account.

Module 3: Networking

  • Amazon VPC, subnets, routes, NACLs, and security groups.
  • GCP networks, subnets, routes, and firewall rules.
  • VMs in networks.
  • Lab: Add VMs, explore the default network, and test connectivity.

Module 4: Working with VM Instances

  • Amazon EC2 instance types, AMIs, Amazon EBS, ephemeral drives, spot instances.
  • Google Compute Engine machine types, instances, persistent disks, local SSDs, preemptible VMs.
  • VM and web app deployment.
  • Lab: Deploy VMs with an app by console and command line.

Module 5: Scaling and Load Balancing Apps

  • Amazon EC2 launch configurations, auto-scaling groups, load balancing.
  • Google Compute Engine instance templates, managed instance groups, load balancing.
  • Autoscaling and load balancing setup.
  • Lab: Scale and load balance instances, and test under load.

Module 6: Isolating Instances and Apps

  • A 3-tier web app in GCP.
  • A 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

  • Amazon S3, Amazon Glacier, Amazon RDS, Amazon DynamoDB, Amazon Redshift, Amazon Athena.
  • Google Cloud Storage, Google Cloud SQL, Cloud Spanner, Google Cloud Datastore, Google Cloud Bigtable, Google BigQuery.
  • Lab: Use gsutil command-line tool to perform operations on buckets and objects in Cloud Storage.
  • Lab: Load and analyze data in BigQuery.

Module 8: Deployment and Monitoring

  • AWS CloudFormation, Amazon CloudWatch.
  • Google Cloud Deployment Manager, Google StackDriver.
  • Lab: Deploy your infrastructure using Deployment Manager.
 

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