Google Kubernetes Engine (GKE) Courses and Certifications

Packt Credential

Docker and Kubernetes Masterclass: From Beginner to Advanced

41 ratings at Coursera

Master containerization with Docker and Kubernetes, from basic concepts to advanced deployment techniques, security practices, and cloud integration with hands-on projects and real-world applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Credential

Google Cloud AI Infrastructure

24 ratings at Coursera

Master AI infrastructure design and deployment using Google Cloud's Hypercomputer, GPUs, TPUs, and Kubernetes Engine to build high-performance ML solutions with optimized storage and networking.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Developing Containerized Applications on Google Cloud

18 ratings at Coursera

Learn to build, package, and deploy containerized applications on Google Cloud using Docker, Buildpacks, Cloud Run, and Kubernetes Engine. Covers best practices for creating and securing containers.

• Coursera
• 5 hours 45 minutes
• Self-Paced
• Paid Course

Google Cloud Platform (GCP) Fundamentals - Hands-on (2025)

1006 ratings at Udemy

Unlock the Power of GCP: From Basics to Advanced Applications Through Hands-on Demos and Detailed Use Cases!

• Udemy
• 4 hours 38 minutes
• Self-Paced
• Paid Course

Google Cloud Storage and Containers for AWS Professionals

Explore Google Cloud storage and container solutions, comparing them with AWS equivalents. Gain hands-on experience in building and managing resources for effective cloud architecture and engineering.

• Coursera
• 6 hours 11 minutes
• Self-Paced
• Paid Course

Board Infinity

Learn GCP DevOps Fundamentals

Learn DevOps principles and practices on Google Cloud Platform. Set up development environments, manage CI/CD pipelines, and deploy applications using GKE, Cloud Run, and Cloud Functions. Includes monitoring and best practices.

• Coursera
• 8 hours 9 minutes
• Self-Paced
• Paid Course

Datadog: Getting started with the Helm Chart

Deploy Datadog Agent in Kubernetes using Helm Chart to collect metrics, traces, and logs. Explore real-time features and compare deployment options for efficient cluster monitoring.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Packt

Advanced Kubernetes - Security, and Large-Scale Deployments

Master advanced Kubernetes with hands-on training in security, resource management, persistent storage, and large-scale deployments. Build production-ready infrastructure using RBAC, Kustomize, and deploy to GKE with proper monitoring and scaling.

• Coursera
• 17 hours 52 minutes
• Self-Paced
• Paid Course

Deploy and Monitor in Google Cloud for AWS Professionals

Explore deploying and monitoring applications in Google Cloud, comparing with AWS solutions. Hands-on practice with Cloud Source Repositories, Functions, Run, and operations suite tools.

• Coursera
• 3 hours 8 minutes
• Self-Paced
• Paid Course

Whizlabs

GCP: Compute and Networking

Master GCP compute services and networking fundamentals through hands-on labs covering Compute Engine, Kubernetes, VPC, load balancing, and cloud architecture best practices.

• Coursera
• 8 hours 31 minutes
• Self-Paced
• Paid Course

GKE Workload Optimization

Optimize cluster workloads for better resource utilization and cost efficiency using strategies like container-native load balancing and pod disruption budgets.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Google Cloud Essentials

Master essential Google Cloud skills through hands-on demos covering compute services, data analytics with BigQuery, AI/ML, containers, and serverless functions.

• Coursera
• 9 hours 13 minutes
• Self-Paced
• Paid Course

GKE Autopilot: Qwik Start

Hands-on practice containerizing and deploying an application to a GKE Autopilot cluster, exploring managed Kubernetes infrastructure and automatic scaling.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

Learn to deploy and autoscale TensorFlow models using TF Serving and Kubernetes on Google Cloud, enhancing your ML infrastructure skills for efficient model serving.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Continuous Delivery with Google Cloud Deploy

This is a self-paced lab that takes place in the Google Cloud console. Create a delivery pipeline using Google Cloud Deploy, create a release for a basic application, and promote the application through a series of Google Kubernetes Engine targets

• Coursera
• 1 hour
• Self-Paced
• Paid Course