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Aura Academic · Study Companion

GenAI & Agentic AI — Exam Prep

A study companion for the upGrad × IIT Kharagpur Certificate Course on Generative and Agentic AI.

This site turns twelve dense lectures into a study path you can actually finish — deep learn-guides for understanding, compressed notes for revision, five mock exams for practice, and a one-page cheat sheet for the day before.

  • Official companion
  • High-speed learning
  • 90-min mock exams

Exam at a glance

  • Format24 multiple-choice questions
  • Marks4 per question · 96 total
  • Duration90 minutes
  • Negative markingNone — attempt every question
  • Passing bar50% · aim for 70%+

Start here

  • New to the material?

    Deep dive into twelve lectures with plain-English guides, analogies, worked examples, and 5 practice MCQs per lecture.

    Go to Learn

  • Already studied — need a refresh?

    Compressed formulas, flashcards, and tables. Skip the story, keep the substance.

    Go to Revise

  • Want to test yourself?

    Five interactive 24-question mock exams with instant scoring, matching the real paper's format and difficulty.

    Go to Practice

  • Day before the exam?

    One-page skim doc. Every formula, table, and trap from the sample paper.

    Cheat sheet

What's in each lecture

# Topic Key concepts
1 ML foundations Precision / Recall / F1, confusion matrix, ML pipeline
2 Neural networks & word embeddings CNN vs MLP, Word2Vec, LSTM shapes, architecture families
3 Transformers Q/K/V attention, positional encoding
4 LLM decoding & APIs Greedy/top-k/top-p, OpenAI Chat API, HF Inference
5 Structured outputs & evaluation BLEU / ROUGE / METEOR / BERTScore
6 AI safety CIA triad, prompt injection, jailbreaks
7 Advanced prompting Zero-shot / Few-shot / CoT / ReAct / ToT
8 Prompt security & APE Levenshtein distance, log-prob scoring
9 RAG fundamentals Retrieval → augment → generate
10 Dense retrieval Bi-encoder vs cross-encoder, two-stage retrieve→rerank
11 Vector indexing Product Quantization math, IVF, HNSW, RBAC gateway
12 Agentic RAG Observe-Think-Act loop, tool routing

How this site is organised

The same 12 lectures appear in three depths so you can pick the one that matches your time and energy today:

  • Learn — 800–2,000 lines per lecture. Plain-English concept walkthroughs. This is the primary reading.
  • Revise — 200–400 lines per lecture. Formulas, tables, flashcards. Great once you already understand it.
  • Practice — five interactive mock exams with score tracking, per-section breakdowns, and full answer explanations.
  • Cheat sheet — one page total. For the last hour before the exam.

Credits

Course content and lecture slides are © upGrad × IIT Kharagpur and are not redistributed on this site beyond what appears within Mock Exam 2 (the official sample paper, included with the learner's consent). The study guides here are original explanatory material written by learners preparing for the same exam, released under CC BY 4.0.

Read the About page for attribution details and contribution guidelines.