AI Developer
Ship production AI applications
For developers. Learn the AI programming stack: Python, OpenAI/Claude/Gemini APIs, LangChain, LangGraph, RAG, vector databases and MCP servers.
Prerequisites
- Level 6
- Python basics
Learning Outcomes
- Build & deploy an AI product
- Own the full RAG stack
Topics covered
Deep-dive topic guides
Each topic has its own 2026 guide with tools, FAQs and sample prompts.
LangChain guide - the Python/JS framework for building LLM apps, RAG pipelines and AI agents in production.
LangGraph guide - build stateful, controllable, multi-agent AI workflows on top of LangChain with cycles, checkpoints and human-in-the-loop.
Python for AI - the essential Python skills every AI developer needs in 2026, from data structures to async and the LLM SDK ecosystem.
OpenAI API guide - Chat Completions, Responses API, Assistants, function calling, structured outputs, embeddings and Realtime.
RAG guide - build a chatbot on your own docs using embeddings, vector search, reranking and grounded LLM generation.
Vector database guide - Pinecone, Qdrant, Weaviate, Chroma and pgvector compared for RAG and semantic search in 2026.
Hands-on projects & exercises
Best resources
Quick self-check quiz
- What is RAG?
- Chunking strategies for RAG
Want this level delivered to your team?
Nirmal Rabari runs live corporate versions of every level - online, offline or hybrid.