Discover how to build an enterprise-ready Retrieval-Augmented Generation (RAG) application at zero cost using open-source AI models like DeepSeek-R1 and Ollama. In this session, we’ll explore how to containerize your AI app using Docker, run it locally, and train it on your own private data—ensuring privacy, security, and cost-efficiency.

By the end of this session, you’ll learn:

✅ How to set up and run DeepSeek-R1 & Ollama locally ✅ Using Docker for seamless deployment ✅ Training the AI on your own enterprise data ✅ Running RAG pipelines without cloud dependencies

Join us and unlock practical AI solutions without breaking the bank!