Generative AI & Prompt Eng.
Master LLMs and prompt design. Build reliable, production-ready GenAI applications with structured prompting, RAG, and API integration.
About the Course
A structured 2 months program across 12 modules.
The course covers LLM basics, prompt design (zero-shot, few-shot, chain-of-thought), RAG, function calling, and deployment. You build two projects: a prompt-driven app and a RAG pipeline.
- LLM internals: tokenisation, context windows, and sampling
- Systematic prompt design: zero-shot, few-shot, CoT, and task decomposition
- RAG pipeline: embeddings, vector stores, chunking, and retrieval
- Function calling, structured outputs, and Pydantic validation
- Evaluation, red-teaming, and hallucination reduction
- Production deployment with FastAPI or Next.js
Your Instructor
Mentors who build and hire in the industry
SDE
IIT Roorkee
What You'll Build
3 hands-on projects
- 1Prompt-driven application (e.g. document summariser, classifier, or Q&A bot) with structured output, error handling, and live deployment
- 2RAG pipeline: full ingestion-to-response system with vector store, hybrid search, and a custom eval set
- 3Portfolio-ready projects with README, architecture diagram, and deployment link
Course outcomes
Outcomes that translate to better roles and real impact
- GenAI Engineer
- Prompt Engineer
- ML Engineer (LLM)
- AI Application Developer
Curriculum
12 modules · Your learning path from start to finish
Why Us?
Expert faculty from IIT & MAANG
Learn from top 1% engineers actively building products & startups
Placement Support
Exclusive resume reviews, mock interviews and 1000+ hiring & referral partners
1:1 Expert Sessions
Connect with a personal mentor to get a customised roadmap and regular reviews
Project-Based Learning
Learn by building with hands-on experience that sparks real problem-solving
100% Live Classes
Live interactive classes that challenge, engage, and transform you
Fast Doubt Support
Get quick, personalized help to understand concepts clearly and keep progressing
