by decodingai-magazine · Agent Tool · ★ 3.1k
Building Your Second Brain AI Assistant Using Agents, LLMs and RAG Learn how to access the collective wisdom of your own mind Open-source course by Decoding AI in collaboration with MongoDB, Comet, Opik, Unsloth and ZenML. 📖 About This Course This course is part of Decoding AI's open-source series, teaching you how to build production-ready GenAI systems using LLMs, RAG, agents and LLMOps. The Second Brain AI Assistant course contains 6 modules that will teach you how to build an advanced RAG and LLM system using LLMOps and ML systems best practices.
| Stars | 3,113 |
| Forks | 526 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 59.7107114628837/100 |
| Open Issues | 6 |
| Last Updated | 2026-04-06 |
| Created | 2024-12-30 |
| Est. Tokens | ~19k |
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second-brain-ai-assistant-course is Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.. It is categorized as a Agent Tool with 3.1k GitHub stars.
second-brain-ai-assistant-course is primarily written in Jupyter Notebook. It covers topics such as agents, ai-systems, data-engineering.
You can find installation instructions and usage details in the second-brain-ai-assistant-course GitHub repository at github.com/decodingai-magazine/second-brain-ai-assistant-course. The project has 3.1k stars and 526 forks, indicating an active community.
second-brain-ai-assistant-course is released under the MIT license, making it free to use and modify according to the license terms.