Learn Kubernetes
6 expert-rated courses covering Kubernetes. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Kubernetes expertise is essential for cloud architects, DevOps engineers, and site reliability engineers across industries like tech, finance, and healthcare. Average Kubernetes salaries are projected to grow 20% by 2026, and combining Kubernetes with complementary skills like Docker and Terraform can unlock 30%+ salary premiums.
Catalog analysis updated . Ratings are independent editorial scores. Read the rating methodology.
Key Facts About Kubernetes
- 1Kubernetes was originally developed by Google and is now maintained by the Cloud Native Computing Foundation (CNCF).
- 2Kubernetes can run containerized applications on a cluster of machines, automatically scaling resources as needed.
- 3Key Kubernetes features include load balancing, service discovery, storage orchestration, and self-healing container management.
- 4According to the CNCF 2022 survey, 96% of organizations are either using or evaluating Kubernetes in production.
- 5Kubernetes has over 100,000 contributors and is supported by major cloud providers like AWS, Azure, and Google Cloud.
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Top Kubernetes Courses
Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes
This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
Connect an App to a Cloud SQL for PostgreSQL Instance
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create a Kubernetes cluster and deploy a simple application to that cluster. Then, connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.
Debugging Apps on Google Kubernetes Engine
This is a self-paced lab that takes place in the Google Cloud console. This lab teaches you how logging works on GKE and some best practices for log collection by going through some common logging use cases.
Architecting Hybrid Cloud Infrastructure with Anthos
This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.
Deep Learning Engineering
Advanced specialization covering PyTorch, distributed computing, model deployment, Kubernetes, and performance tuning for production deep learning.
AI Agents and MLOps for Production-Ready AI
Learn AI agents and MLOps for production including LangGraph, CrewAI, Docker, Kubernetes, and cloud deployment on AWS/GCP/Azure.
Pro Tips for Learning Kubernetes
- #1Start with Kubernetes basics like pods, services, and deployments before moving to advanced topics.
- #2Practice hands-on with Kubernetes using free cloud platforms or Docker Desktop.
- #3Combine Kubernetes with complementary skills like Docker, Terraform, and CI/CD tooling.
- #4Earn Kubernetes certifications like the Certified Kubernetes Administrator (CKA) to validate your expertise.
Why Learn Kubernetes?
- Kubernetes skills are in high demand, with over 1 million job openings projected by 2026.
- Mastering Kubernetes can unlock 30%+ salary premiums for cloud and DevOps roles.
- Kubernetes expertise enables building scalable, resilient, and self-healing cloud-native applications.
- Learning Kubernetes prepares you for the rise of microservices and containerization in modern software development.