Generative AI Program
Generative AI Course in Hyderabad — Build LLM-Powered Apps with LangChain, RAG & OpenAI
A 45-day, project-first Generative AI program — the most in-demand skill of 2026. Build RAG chatbots, AI content tools and intelligent agents using LangChain, OpenAI and vector databases. Graduate with 3 deployed AI applications.
What you will learn
Curriculum — 5 Phases · 45 Days
Phase 01Python & AI Foundations10 days
- Python essentials for AI development
- Introduction to Large Language Models (LLMs)
- How GPT, Claude, Gemini and Llama models work
- OpenAI API basics — completions and chat
- Prompt engineering fundamentals
Phase 02Advanced Prompt Engineering8 days
- Zero-shot, one-shot and few-shot prompting
- Chain-of-thought and tree-of-thought prompting
- Prompt templates and system messages
- Output parsing and structured responses
- Safety, bias and hallucination handling
Phase 03LangChain & Agents12 days
- LangChain architecture — chains, agents, tools
- Building conversational memory
- LangChain agents with tool use
- Custom tool creation
- LangGraph for multi-agent workflows
Phase 04RAG — Retrieval-Augmented Generation10 days
- Embeddings and vector search concepts
- ChromaDB and Pinecone vector databases
- Document loading, chunking and indexing
- Building RAG pipelines end-to-end
- Evaluating RAG quality and accuracy
Phase 05Building & Deploying AI Apps5 days
- FastAPI for AI app backends
- Streamlit for rapid AI UIs
- Deploying to cloud (AWS / Vercel)
- API rate limiting and cost management
- Portfolio project deployment and documentation
What you will build
Tools & Technologies
Frequently Asked Questions
Do I need AI experience to join the Generative AI program?
Basic Python knowledge is helpful. The program covers Python AI foundations before moving into LangChain, RAG and OpenAI APIs. No prior AI experience is required.
Is this program online or offline?
100% offline at our Madhapur, Hyderabad centre with LMS access to recorded sessions.
What tools will I learn?
Python, OpenAI API, LangChain, Hugging Face, ChromaDB (vector database), Pinecone, FastAPI, Streamlit and Prompt Engineering — the full GenAI application development stack.
What kind of projects will I build?
You will build 3 real GenAI projects: a RAG-powered document chatbot, an AI content generation tool, and an AI Resume Analyzer — all deployed and portfolio-ready.
When is the next batch?
Batch dates are being finalised. Register your interest and we will notify you with priority access and an early seat reservation.
Ready to Build with AI?
Batch dates are being finalised. Register your interest now and get priority notification + early seat reservation.