Roadmap

Phase 1 — Understand AI and LLMs

What AI is, how Generative AI works, what LLMs are, and how ChatGPT generates answers.

Phase 2 — Core LLM pillars

Tokens, temperature, top-p, top-k, roles, context windows, memory, and model settings.

Phase 3 — Prompt engineering

Zero-shot, one-shot, few-shot, many-shot, chain-of-thought prompting, RTCF, and prompt formatting.

Phase 4 — Generative AI and RAG

Text and image generation, embeddings, vector search, Retrieval-Augmented Generation (RAG), and grounding answers in data.

Phase 5 — AI agents

Tools, function calling, planning, action execution, agentic AI, and multi-agent collaboration.

Phase 6 — Build real AI applications

Use APIs, structured outputs, RAG, tool-calling agents, evaluation, security, and deployment.