Google Cloud Fundamentals for AWS Professionals

- AWS Solution Architects just getting started with Google Cloud Platform

- AWS SysOps Administrators used to building IaaS solutions

- Architects and Engineers operating in multi-cloud environments

• Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more
• Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
• Manage and monitor applications
• Explain feature and pricing model differences
• Locate documentation and training

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

• Basic proficiency with networking technologies like subnets and routing
• Experience with Amazon VPC, Amazon EC2 instances, and disks
• Familiarity with Amazon S3 and AWS database technologies