agentic-ai-engineer-roadmap

<div align="center"> # Agentic AI Engineer Roadmap **A structured, interactive learning path from Python fundamentals to building AI systems that build AI systems.** [](https://devhammad0.github.io/agentic-ai-engineer-roadmap/) [](LICENSE) [](https://github.com/devhammad0/agentic-ai-engineer-roadmap/stargazers) </div> <br/> [](https://devhammad0.github.io/agentic-ai-engineer-roadmap/) ## Overview This roadmap covers 11 stages of the Agentic AI Engineer journey — from Python basics and LLM fundamentals to multi-agent systems, agent protocols (MCP, A2A, AG-UI), RAG pipelines, and context engineering. Each stage is interactive — click to expand, read, and copy the full roadmap as Markdown. ## Stages | # | Stage | |---|-------| | 01 | Python Fundamentals | | 02 | LLM Fundamentals | | 03 | Learn a Framework (LangChain / OpenAI Agents SDK / Google ADK) | | 04 | Advanced Framework Concepts | | 05 | Memory Management | | 06 | Tool Integration | | 07 | Agent Protocols & Interoperability (MCP · A2A · AG-UI) | | 08 | RAG Systems | | 09 | Agents & Multi-Agents | | 10 | Build Real-World Projects (FastAPI · Chainlit · chatkit · AG-UI · Docker · Databases) | | 11 | AI-Assisted Engineering & Context Engineering | ## Tech Built with vanilla HTML, CSS, and JavaScript. No frameworks. No dependencies. ## License <div align="center"> **If this helped you, consider giving it a ⭐ — it means a lot!** Made by [@devhammad0](https://github.com/devhammad0) </div>