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?
1:1 expert session
Connects theoretical understanding with practical implementation through their insights
Expert faculty from MAANG
Top-tier education enriched by practical knowledge and innovation
Projects & hackathons
Hands-on learning to spark creative problem-solving
Fastest doubt support
Personalised assistance for a clear understanding of concepts
Self-paced classes
Learn at your pace with practice and instant feedback
Self-paced classes
Learn at your pace with practice and instant feedback
