COURSE AGENDA

Module 01 – Introducing Google Cloud

• Explain the advantages of Google CloudDefine the components of Google’s network infrastructure, including:
  points of presence, data centers, regions, and zones.
• Understand the difference between Infrastructure-as-a-Service (IaaS)and Platform-as-a-Service (PaaS)
  Activities: 1 Quiz

Module 02 – Getting Started with Google Cloud

• Identify the purpose of projects on Google Cloud
• Understand how AWS resource hierarchy differs from Google Cloud’s
• Understand the purpose of and use cases for Identity and Access Management
• Understand how AWS IAM differs from Google Cloud IAM
• List the methods of interacting with Google Cloud
• Launch a solution using Cloud Marketplace
• Activities: 1 lab and 1 quiz

Module 03 – Virtual Machines in the Cloud

• Identify the purpose and use cases for Google Compute Engine
• Understand the basics of networking in Google Cloud
• Understand how AWS VPC differs from Google VPC
• Understand the similarities and differences between Amazon EC2 and Google Compute Engine
• Understand how typical approaches to load-balancing in Google Cloud differ from those in AWS
• Deploy applications using Google Compute Engine
• Activities: 1 lab and 1 quiz

Module 4: Storage in the Cloud

• Understand the purpose of and use cases for Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore
• Understand how Amazon S3 and Amazon Glacier compare to Cloud Storage
• Compare Google Cloud’s managed database services with Amazon RDS
• Learn how to choose among the various storage options on Google Cloud
• Load data from Cloud Storage into BigQuery
• Activities: 1 lab and 1 quiz

Module 5: Containers in the Cloud

• Define the concept of a container and identify uses for containers
• Identify the purpose of and use cases for Google Container Engine and Kubernetes
• Understand how Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differs from GKE.
• Provision a Kubernetes cluster using Kubernetes Engine
• Deploy and manage Docker containers using kubectl
• Activities: 1 lab and 1 quiz

Module 6: Applications in the Cloud

• Understand the purpose of and use cases for Google App Engine
• Contrast the App Engine Standard environment with the App Engine
• Flexible environment
• How App Engine differs from Amazon Elastic Beanstalk
• Understand the purpose of and use cases for Google Cloud Endpoints
• Activities: 1 quiz

Module 7: Developing, Deploying, and Monitoring in the Cloud

• Understand options for software developers to host their source code
• Understand the purpose of template-based creation and management of resources
• Understand how Cloud Deployment Manager differs from AWS CloudFormation.
• Understand the purpose of integrated monitoring, alerting, and debugging
• Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail
•  Create a Deployment Manager deployment
• Update a Deployment Manager deployment
• View the load on a VM instance using Cloud Monitoring
• Activities 1 lab and 1 quiz

Module 08 – Big Data and Machine Learning in the Cloud

• Understand how Google Cloud BigQuery differs from Amazon Redshift
• Understand how Google Cloud Pub/Sub differs from Amazon SQS
• Understand how Google Cloud’s machine-learning APIs differ from AWS’s
• Load data into BigQuery from Cloud Storage
• Perform queries using BigQuery to gain insight into data
• Activities 1 lab and 1 quiz

Module 09 – Summary and Review

• Review the products that make up Google Cloud and remember how to choose among them
• understand the next steps for training and certification
• Understand, at a high level, the process of migrating from AWS to Google Cloud
• Activities 1 quiz