Google Cloud Platform Fundamentals for AWS Professionals

Each participant will leave with a recognised certificate

• Virtual Classroom Live 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

Module 3: Networking

• Amazon VPC, subnets, routes, NACLs, and security groups

• GCP networks, subnets, routes, and firewall rules

• VMs in networks

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

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

Module 6: Isolating Instances and Apps

• A 3-tier web app in GCP

• A custom network with custom subnets and firewall rules

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

Module 8: Deployment and Monitoring

• AWS CloudFormation, Amazon CloudWatch

• Google Cloud Deployment Manager, Google StackDriver

• Virtual Classroom Live Labs
• Lab: Set up projects and billing accounts with a free-trial GCP account
• Lab: Add VMs, explore the default network, and test connectivity
• Lab: Deploy VMs with an app by console and command line
• Lab: Scale and load balance instances and test under load
• Lab: Build a 3-tier web app with public front-end and private backend
• Lab: Use gsutil command-line tool to perform operations on buckets and objects in Cloud Storage
• Lab: Load and analyze data in BigQuery
• Lab: Deploy your infrastructure using Deployment Manager