Tips for Learning Kubernetes with AI?

I personally learned k3s using AI, but I ran into a lot of issues that I had to dig deep to resolve. For instance, I found that GitLab runners didn't play nice unless you had the specific installation set up for Raspberry Pis due to their aarch64 architecture. So yes, you can learn with AI, but just be prepared to spend extra time figuring things out on your own too!

Starting with a Certified Kubernetes Administrator (CKA) course is a good move. It sets a solid foundation for understanding Kubernetes in-depth, which could be beneficial for your job.

Check out KodeKloud for some great courses! They have online labs, so you won’t have to worry about setting things up on your own machine.

Before diving into Kubernetes, it's crucial to have a solid understanding of Docker and be fairly comfortable with using Linux. Kubernetes is like an advanced Docker scheduler and it utilizes complex networking and storage features found in Linux, so starting from these fundamentals can save you a lot of headaches later on.

Starting with k3s is a solid idea! You might also want to explore Minikube, as that's what I began with. AI can really help you grasp Kubernetes concepts better. Try to write your own deployments from scratch first, though. There are tons of great tutorials out there that can guide you, and using AI as a helpful coach instead of just letting it code for you could be a game changer. Kubernetes can seem tough at first—don't let it frustrate you! Tackle those issues step by step, and soon you'll find you’ve learned a lot. Plus, asking coworkers for tips will only boost your learning and help build those work relationships.