I wrote a 100-topic AI engineer roadmap that runs offline, with no API key

Описание и применение

Руководство из 100 тем по инженерии ИИ, полностью автономное, без ключей API, охватывает RAG, агенты, MCP и продакшн.

Задача

Learners struggled to organize and access RAG, agents, and MCP tutorials, leading to disordered learning and reliance on multiple browser tabs.

Результат

The roadmap provides a comprehensive, offline learning path for AI engineering, reducing dependency on external APIs and streamlining study.

Рабочий процесс

• Clone the repo
• Create a virtual environment
• Install dependencies
• Run the mini RAG demo
• Explore topic folders and code examples

Доказательства

Every time I wanted to learn RAG, agents or MCP properly, I ended up with twelve browser tabs and no order to read them in.

Источник

ai-engineer-roadmap is 100 topics in 7 phases, from "what is RAG?" to production AI.

Источник

The 7 phases are RAG Foundations (20 topics), Advanced RAG (20), LLM Concepts (14), Agentic AI (16), Frameworks (8), MCP (7) and Production AI (15).

Источник

The last command runs a complete, tiny RAG pipeline. It chunks three sample documents, scores them against your question and prints the best passage with its source file.

Источник

The demo scripts in each code/ folder use only the Python standard library, so there is no API key and no network needed.

Источник

CI checks that every local link in the Markdown pages points to a file that exists, validates the SVG diagrams, runs the tests and builds the TypeScript MCP example.

Источник