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

说明与用途

一份包含100个主题的 AI 工程路线图，完全离线运行，无需 API 密钥，涵盖 RAG、代理、MCP 和生产 AI。

问题

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

结果

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

工作流

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

证据

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.

来源

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

来源

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).

来源

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.

来源

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

来源

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.

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