# AI Mastery
> A free, interactive guide that takes a fullstack developer from zero AI knowledge
> to building AI features — and a separate advanced track for AI/ML interview and
> cloud-certification prep. Built by Yunus Shaikh.

## What it is
- An animated, single-page web app (no signup, free) for learning AI by doing.
- Beginner / builder track at https://yunus-ai.com/ — LLM APIs, prompt engineering, RAG,
  embeddings, agents, plus an interactive "Math Lab" (vectors, matrices, softmax,
  attention) and a scroll-driven "Journey" history of AI.
- Advanced track at https://yunus-ai.com/advanced/ — 445 tiered AI & ML interview questions
  with answers across transformers, LLMs, deep learning, ML system design, MLOps,
  and AWS / Azure / GCP AI certifications.

## Audience
Fullstack and web developers new to AI who want to build with LLMs, and engineers
preparing for AI/ML interviews or cloud AI certifications.

## Key sections
- Learn: plain-English question bank, basics → advanced.
- Math Lab: interactive widgets for the math behind LLMs.
- Journey: animated timeline of AI history + a builder skills roadmap.
- Drill: flashcards with spaced review.
- Search: fuzzy full-text search across all questions.

## Topics covered
Builder track: what AI/LLMs are, calling LLM APIs, prompt engineering, retrieval-augmented
generation (RAG), embeddings & vector search, AI agents & tool use, streaming, cost/token
basics, evaluation, and shipping AI features to production.
Advanced track: math & statistics, classical ML, model evaluation, feature engineering, deep
learning, CNNs/vision, RNNs/sequences, transformers & attention, NLP & embeddings, LLM training
& inference, prompting & agents, RAG, multimodal GenAI, LLM evals & safety, reinforcement
learning, ML system design, MLOps, responsible AI, and the AWS / Azure / GCP AI certifications.

## Author
Yunus Shaikh — fullstack web developer.
LinkedIn: https://www.linkedin.com/in/yunus-shaikh-fullstack-web-developer/
GitHub: https://github.com/DevYunus