Code and Slides

Building LLM-Enabled Multi Agent Applications from Scratch

MLOps - Deploy models at scale, Generative AI - Build applications with LLMs, NLP - Understand Transformers & Text Generation Models, Computer Vision - Build GANs projects like Deepfakes, ML System Design, hands-on project building and code algorithms from scratch.

Code and Slides

I will upload here all of my work related to this course

Building LLM from scratch and its applications

Building production-grade LLM applications from scratch

Building LLM-Enabled Multi Agent Applications from Scratch inspired from designing-multiagent-systems by Victor Dibia

Learning LLM evaluation from scratch: building test systems for AI applications, measuring quality with metrics, systematic error analysis, and production monitoring.

🚀 Master Generative AI from scratch. A complete beginner's roadmap covering LLMs, Prompt Engineering, RAG, and building your first AI applications with hands-on code examples.

This project demonstrate how to deploy a Retrieval-Augmented Generation (RAG) API using FastAPI, ChromaDB, and Ollama (a local LLM) running entirely on local hardware. I am building this to master the fundamentals of RAG architecture from scratch, providing a foundation for developing more advanced document-based AI applications in the future.