Generative AI & Prompt Engineering for Every Discipline
Why colleges run this
Every branch can take it, it needs no prerequisite beyond basic computing, and students leave with something working that they built themselves.
Course outcomes
CO1
Explain how a large language model produces output, naming context, tokens and the causes of hallucination
K2CO2
Construct prompts using role, context and constraint patterns to obtain reliable structured output
K3CO3
Build a retrieval-augmented assistant grounded in a supplied document set
K3CO4
Deploy a working AI assistant behind a simple web interface
K3CO5
Evaluate an AI assistant's answers for accuracy, bias and appropriate use in academic work
K5Modules tap a module for its theory & lab
Hours shown are the recommended 3-day format — module time scales to the duration you pick.
01How large language models work4 h
Theory
Tokens, context windows, training vs inference, capabilities and limits, hallucination
Lab
Guided exploration of model behaviour on real prompts
Output
Annotated prompt-behaviour log
02Prompt engineering in practice4 h
Theory
Role, context, constraints; few-shot patterns; structured output; iteration strategies
Lab
Prompt battles — teams improve a weak prompt through five iterations
Output
Personal prompt pattern library
03Retrieval-augmented generation4 h
Theory
Embeddings, vector search, chunking, grounding answers in documents
Lab
Build a Q&A assistant over a supplied document set
Output
Working RAG notebook
04Building an AI assistant4 h
Theory
API calls, system prompts, conversation state, guardrails
Lab
Assemble an assistant with a defined persona and scope
Output
Running assistant script
05A simple interface4 h
Theory
Minimal web UI, input handling, streaming responses, error states
Lab
Wire the assistant to a browser interface
Output
Deployed local demo
06Responsible use and capstone4 h
Theory
Bias, attribution, academic integrity, data privacy; capstone build time
Lab
Capstone: each team ships a discipline-specific assistant
Output
Capstone demo to the cohort
Every participant receives
Certificate of completion Course material LMS access Interview question bank Mock interview & viva practice Optional nasscom NSQF assessment