FX-L2Level 2 of 45 modules
Move from using AI to building with it. Work with APIs, embeddings, and vector databases to build retrieval-augmented generation systems that answer from real documents, reliably and measurably.
PythonLangChainChromaPinecone
What you'll be able to do
Call and orchestrate LLM APIs in Python
Design embedding + vector-store retrieval over private data
Build production-shaped RAG pipelines with chunking and reranking
Evaluate and improve answer quality systematically
Syllabus
Indicative · final syllabus shared on enquiryThe working toolkit: APIs, JSON, notebooks, and environments
