Build a Second Brain Assistant: RAG, Agents, and LLMOps Course

Your second brain needs more than a demo chatbot

I came across an decodingai-magazine/second-brain-ai-assistant-coursegithub.com/decodingai-magazine/second-brain-ai-assistant-course course repository from Decoding AI for developers who want to build an assistant for a personal knowledge base with LLMs, agents, RAG, and LLMOps.

What’s included:

• Six modules — covers architecture, ETL, fine-tuning, deployment, RAG, and LLMOps
• Offline + online apps — separates ML/data pipelines and the assistant inference pipeline
• Notion support — uses the Second Brain knowledge base; a public snapshot is available, so a Notion account isn’t required
• Uses LLMOps tools, including — ZenML, Opik, Comet, Unsloth, MongoDB, Hugging Face, and OpenAI
• Developer-focused with module documentation, ready-to-use code, uv/ruff, and Docker infrastructure

Open decodingai-magazine/second-brain-ai-assistant-coursegithub.com/decodingai-magazine/second-brain-ai-assistant-course code (MIT license).