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About this site

What this is

A community-contributed study guide for the upGrad × IIT Kharagpur Certificate Course on Generative and Agentic AI. The course covers 12 lectures on modern LLMs, RAG systems, agentic AI, and safety, culminating in a proctored MCQ exam.

This site distills those 12 lectures into three depths — deep learn-guides, compressed revision notes, and a one-page cheat sheet — plus a full mock exam for practice.

What this is not

  • Not an official upGrad or IIT Kharagpur publication
  • Not affiliated with, endorsed by, or connected to the course faculty
  • Not a substitute for attending the lectures — the guides summarise and reframe; they don't replace the original teaching
  • Lecture slides, sample paper, and course materials are © upGrad × IIT Kharagpur and their respective authors. None of that content is redistributed on this site. If you're enrolled, download the originals from your course dashboard.
  • Study guides, notes, mock exams, and cheat sheets on this site are original explanatory works by learners preparing for the same exam, released under Creative Commons Attribution 4.0 (CC BY 4.0).
  • Code in the repository (site config, extraction scripts, build scripts) is released under the MIT License.

How to contribute

Corrections, clarifications, and additional practice questions are welcome:

  1. Fork the GitHub repository
  2. Edit the relevant markdown file in docs/
  3. Open a pull request describing what you changed and why

If you spot an error but don't want to open a PR, file an issue.

How to build locally

Clone the repo and:

pip install -r requirements.txt
mkdocs serve

Then open http://localhost:8000.

Site tech

Feedback

If a concept explanation didn't land for you, that's a documentation bug — file an issue so we can rewrite it more clearly for the next learner.