What You Will Learn
Clear, practical capabilities you should be able to apply by the end of the program.
- Explain foundational concepts in Generative AI and large language models
- Create and refine prompts for teaching, learning, and research
- Describe how RAG grounds generated responses in selected documents
- Examine source evidence and evaluate document-based AI responses
- Identify privacy, bias, copyright, and academic integrity concerns
- Propose a responsible Generative AI or RAG use case for an academic discipline
Hands-On Included in Training
Build practical projects that connect the course concepts to real implementation work.
- 01
Document-Based RAG Practical Worksheet
Record questions, generated responses, source evidence, and observations while exploring a sample academic document set.
- Document-grounded inquiry
- Source verification
- Critical evaluation
- 02
Educational AI Use-Case Proposal
Propose a teaching or research application and outline its users, source materials, benefits, limitations, and verification strategy.
- Academic application design
- Responsible AI
- Evaluation planning
Course Curriculum
Follow the modules in sequence, from foundational concepts through applied delivery.
Understand AI fundamentals, language models, educational applications, and limitations.
- Artificial intelligence, machine learning, and Generative AI
- Large language models, tokens, and context windows
- Academic applications, hallucinations, and factual accuracy
Who Should Attend?
Check the intended audience and prerequisites before choosing this cohort.
This course is ideal for
- Engineering, Computer Science, and IT faculty
- Faculty in Management, Science, Humanities, and Social Sciences
- Researchers, research supervisors, and academic administrators
Prerequisites
- Basic computer literacy and familiarity with web applications
- No prior programming, machine learning, or AI development experience required
Registration Fee
₹500
Includes live sessions, guided project work and a completion certificate.
- Dates
- 23 Nov 2026
- Schedule
- Timings to be announced
- Format
- Live interactive training
- Credential
- Certificate of completion
- Session recordings and learning resources after class
- Institution and group enquiries are supported
Meet Your Instructor
Mr. Rohit Bacche
Generative AI and Retrieval-Augmented Generation (RAG) Expert
Mr. Rohit Bacche is the instructor for the Faculty Development Programme on Generative AI and Retrieval-Augmented Generation (RAG).
- Generative AI
- Retrieval-Augmented Generation (RAG)