Below you will find pages that utilize the taxonomy term “Llm”
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How To Learn Kubernetes In 2026, Leveraging AI
TL;DR
- You need four things, nothing more: a laptop, AI, time, and commitment. No budget, no cohort.
- Build one small reference app first (Python + PostgreSQL). Prove it runs standalone, then in Docker. This is a requirement, not optional, and you deploy this same app at every level.
- Get the AI to draft a personal learning plan around that app, not a generic course. Tell it your background, your hours per week, and whether certification matters to you.
- Certification (CKA/CKAD) is optional. It may help with jobs or promotions, it costs money and time, and this series doesn’t require it either way.
- Learn through AI Q&A, not lectures: get quizzed, explain concepts back, get pushed on guesses.
- Round it out with YouTube for what needs to be seen, AI-generated diagrams mid-conversation, and the official Kubernetes docs, which are better as a learning tool than most people realize.
- Turn the AI’s draft plan into real commitments with a “done” bar per level.
- Prompt for learning, not answers: put the first attempt on yourself, use the AI to check it.
- Take notes in your own words, and draw diagrams, on paper or in a tool like Excalidraw.
- Type new YAML and commands yourself instead of copy-pasting; it’s where you catch mistakes.
| Level | Environment | Depends on |
|---|---|---|
| 1 | Minikube on a laptop | Nothing, this is the starting point |
| 2 | A hand built multi VM cluster | Level 1’s kubectl basics |
| 3 | A self managed cluster on AWS EC2 | Level 2’s cluster-bootstrap mechanics |
| 4 | EKS | Level 3’s AWS familiarity |
What This Actually Takes
You need four things to learn Kubernetes this way, and nothing beyond them: a laptop, access to AI, time, and commitment. No budget line, no employer-sponsored training slot, no waiting for a cohort to start.
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Coding With AI Notes: Part I
Vibe Coding - The Background
The year is 2025. The way we build software—whether it’s a simple three-page website or a complex system with dozens of microservices—has undergone a dramatic transformation. We’ve shifted from scouring forums like Stack Overflow and reading technical blogs found via Google to having interactive conversations with LLMs (Large Language Models) and AI agents.
AI and LLMs have democratized access to technology. Today, you don’t need a formal background in software engineering to create websites or applications. With the help of AI, anyone can build software. This cultural shift is now often called “Vibe Coding.”