Module 1: Introduction to Google Cloud

• Identify Google Cloud services and their function.
• Choose the right Google Cloud services to create your own Cloud solution.

Module 2: Containers and Kubernetes in Google Cloud

• Create a container using Cloud Build.
• Store a container in Container Registry.
• Compare and contrast Kubernetes and GKE features.

Module 3: Kubernetes Architecture

• Conceptualize the Kubernetes architecture.
• Deploy a Kubernetes cluster using GKE.
• Deploy pods to a GKE cluster.
• View and manage Kubernetes objects.
• Conceptualize the migrate for Anthos process.

Module 4: Kubernetes Operations

• Work with the Kubectl command.
• Inspect the cluster and pods.
• View a Pod’s console output.
• Sign in to a pod interactively.

Module 5: Deployment, Jobs, and Scaling

• Create and use deployments.
• Create and run jobs and cronJobs.
• Scale clusters manually and automatically.
• Configure node and pod affinity.
• Get software into your cluster with Helm charts and Kubernetes marketplace.

Module 6: GKE Networking

• Create Services to expose applications that are running within Pods.
• Use load balancers to expose Services to external clients.
• Create Ingress resources for HTTP(S) load balancing.
• Leverage container-native load balancing to improve Pod load balancing.
• Define Kubernetes network policies to allow and block traffic to Pods.

Module 7: Persistent Data and Storage

• Use Secrets to isolate security credentials.
• Use ConfigMaps to isolate configuration artifacts.
• Push out and roll back updates to Secrets and ConfigMaps.
• Configure Persistent Storage Volumes for Kubernetes Pods.
• Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts.

Module 8: Access Control and Security in Kubernetes and Kubernetes Engine

• Define IAM roles and policies for GKE.
• Define Kubernetes RBAC roles and role bindings.
• Define Kubernetes pod security policies.

Module 9: Logging and Monitoring

• Create forensic logs for systems monitoring.
• Monitor your system performance from different vantage points.
• Create probes for wellness checks on live applications.

Module 10: Using Google Cloud Managed Storage Services from Kubernetes Applications

• Understand use cases for Cloud Storage within a Kubernetes application.
• Understand use cases for Cloud SQL and Cloud Spanner within a Kubernetes application.
• Understand use cases for Datastore within a Kubernetes application.
• Understand use cases for Cloud Bigtable within a Kubernetes application.

Module 11: Logging and Monitoring

• Create a continuous delivery pipeline using Cloud Build and start it manually or automatically with a code change.
• Implement a canary deployment that hosts two versions of your application in production for release testing