AI Engineer Program: Python, LLMs, RAG and Agents

Who is this class for? Students, freshers, B.Tech graduates, and working developers who want to become AI engineers, GenAI engineers, or LLM application developers. If you can follow basic programming logic and want a clear, step-by-step path into AI, this program is for you.

What will you learn? Over 100 one-hour classes, you will learn Python, FastAPI, and databases (PostgreSQL, Redis), machine learning, NLP and transformers, LLMs and prompt engineering, RAG (chunking, embeddings, vector databases, re-ranking, evaluation), AI agents with LangGraph and MCP, MLOps and LLMOps, Docker, AWS, CI/CD, and AI system design. Every class follows the same pattern: concept, architecture, live coding, a student lab, a quiz, interview questions, and an assignment.

What will you build? Four portfolio projects (a secure FastAPI backend, a deployed ML system, an enterprise RAG application, and an AI agent) and a final capstone, the Enterprise AI Copilot. All work goes on your GitHub, and the program ends with mock technical and HR interviews, resume and portfolio guidance.

What should you bring? A laptop with a stable internet connection, Python 3.11 or newer, VS Code, and a free GitHub account. We set everything up together in Class 1.

Prerequisites: Basic programming logic and a laptop. No prior AI knowledge is needed.