Getting Started with Google Kubernetes Engine Course Syllabus

Overview: This hands-on course introduces learners to Google Kubernetes Engine (GKE) with a practical focus on deploying and managing containerized applications on Google Cloud. Through a combination of concise lessons and guided labs, you’ll gain foundational skills in Kubernetes orchestration, cluster management, and CI/CD automation. The course is designed to be completed in under 5 hours and includes real-world tasks using Cloud Console, gcloud, and kubectl tools.

Module 1: Introduction to Cloud & GKE

Estimated time: 0.5 hours

• Basics of cloud computing
• Google Cloud compute offerings
• Key components of Kubernetes and GKE
• Orientation to Cloud Console and Cloud Shell

Module 2: Containers & Kubernetes Architecture

Estimated time: 1 hours

• Containerization with Docker
• Creating and managing container images
• Kubernetes architecture fundamentals
• Understanding pods, services, clusters, and masters

Module 3: Cluster Management & Deployment

Estimated time: 1 hours

• Creating GKE clusters using Console and gcloud CLI
• Managing node pools and resources
• Deploying applications with kubectl
• Scaling workloads and performing rolling updates

Module 4: CI/CD Pipelines & Debugging

Estimated time: 2 hours

• Automating builds with Cloud Build
• Using Artifact Registry for container storage
• Deploying CI/CD pipelines for GKE
• Debugging applications using logs and monitoring tools

Prerequisites

• Familiarity with basic cloud computing concepts
• Basic understanding of containers and command-line interfaces
• Access to a Google Cloud account for lab exercises

What You'll Be Able to Do After

• Compare Google Cloud compute options and identify where GKE fits
• Create and manage GKE clusters via Console, gcloud, and kubectl
• Deploy and scale containerized applications on Kubernetes
• Implement CI/CD pipelines using Cloud Build and Artifact Registry
• Debug and troubleshoot GKE applications using logs and service insights