second brain ai assistant course
Basic Information
This repository is an open-source, hands-on course and codebase for building a production-ready Second Brain AI Assistant using agents, large language models, retrieval-augmented generation, and LLMOps best practices. It contains a six-module curriculum plus code for two Python applications: offline ML pipelines for data ingestion, dataset generation and fine-tuning, and an online inference pipeline implementing the agentic RAG assistant. The material teaches end-to-end architecture design, pipeline orchestration, model fine-tuning and deployment, and monitoring of RAG and agentic inference. The course uses a Notion-based knowledge snapshot as a dataset but the pipelines are adaptable to other sources. The project includes infrastructure components, architecture diagrams, and practical exercises to replicate and extend the assistant in a production-like environment.
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