A free, no-signup place to learn AI from zero — short animated courses anyone can follow, a plain-English glossary, a build-with-AI question bank for developers, and AI/ML interview and cloud-certification prep — built and maintained by Yunus Shaikh.
Most AI explainers are either hand-wavy or drowning in math. AI Mastery is the in-between: plain-English answers and animated, interactive explainers that build real intuition. The goal is that a curious 15-year-old can start at the AI Basics course and understand every sentence, and a working developer can keep going into the RAG and generative-AI courses, the question bank, and the interview/cert track. It's free, ad-free, and runs entirely in your browser.
I'm Yunus Shaikh, a fullstack developer who builds with LLMs day to day. I created this site to be the resource I wished I'd had when I started with AI — and to keep my own understanding sharp by explaining things simply. You can find me on LinkedIn and GitHub.
Questions and explanations are drafted with AI assistance and then fact-checked in a separate pass — dates, model names, cert codes, and formulas are verified against primary sources (for example, the visual RAG course cites the 2020 Lewis et al. paper and the generative-AI course cites the 2021 CLIP paper). Time-sensitive facts are framed as "as of 2026." If you spot an error, please reach out on GitHub.
The visual courses teach AI Basics, RAG and generative AI with animation, quizzes and interactive toys; the glossary explains every term in one quotable sentence plus an everyday example; the builder track has 330 plain-English questions for developers; the advanced track covers 445 interview + AWS/Azure/GCP certification questions; and there are static, searchable pages under /guides/ and /topics/.