Build your own AI assistant that answers questions from your documents – entirely on your local machine. Assuming a basic acquaintance with Python, this course will teach you how to run a local LLM, turn PDFs into searchable chunks, generate embeddings, store them in a vector database, and connect retrieval and generation into a complete RAG (Retrieval-Augmented Generation) pipeline. You’ll create OpenAI-compatible and RAG endpoints with FastAPI, work with Ollama and Qdrant, and finish by building a browser-based interface for asking questions and reviewing sources. This course stands out because everything is built locally, from end to end. Instead of relying on black-box cloud services, you will master every step of the system you build – from document processing and vector search to prompt construction and answer generation. You’ll learn by actually building, adding one piece at a time. With each module, you’ll unlock a new feature in your project., By the end, you will have a production-ready AI project you can run, customize, and share.
DD
Its fun and easy to understand, now I can build my own ai assistant offline
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Honestly, this course ate!! Finally found an AI course that doesn't spend 90% of the time explaining what AI is. The whole LLM + local models + RAG ecosystem started making sense for the first time. Finished it feeling way more confident about building my own AI tools.
Great hands-on course for anyone interested in building practical AI tools locally. The course explains how LLMs, local models, and RAG can work together, and the project-based format makes it easy to follow.
A very relevant and practical course. With the scale adoption of AI, learning how to work with local LLMs is valuable for me, especially with the focus on saving on AI credits :)
💔💔💔 I completed the course early It was helpful forgot to click the submit button
Its fun and easy to understand, now I can build my own ai assistant offline
Thanks a lot! It was a quick and helpful guide on creating an AI agent
Liked the flexibility of environments, and overall the flow.
The course is great, thanks
El curso tiene todas las bases necesarias para construir tu primer sistema RAG. Me ha ayudado mucho a entender el funcionamiento de esta tecnología. No puedo esperar en aplicarlo a futuros proyectos, recomendable.