Generative AI

Build real AI apps with LLMs — prompt engineering, RAG, AI agents and deployment, the skills every tech team is hiring for now.

  • 2–3 months
  • Intermediate (Python basics needed)
  • Online & Offline
  • Certificate + internship project
Enroll now Talk to a mentor

What you’ll learn

  • Understand how large language models work — tokens, context, temperature and limits
  • Write prompts that give reliable, structured output
  • Call LLM APIs from Python and handle costs, errors and rate limits
  • Build RAG apps that answer questions from your own documents
  • Create AI agents that use tools and take multi-step actions
  • Deploy AI apps and apply responsible-AI practices

Curriculum

9 modules

01 Python for AI
  • Python refresher
  • APIs
  • JSON
  • virtual environments
  • async basics
02 How LLMs work
  • tokens
  • embeddings
  • context windows
  • temperature
  • hallucinations
  • model choice
03 Prompt engineering
  • zero/few-shot prompts
  • roles
  • chain-of-thought
  • structured JSON output
  • evaluation
04 Working with LLM APIs
  • OpenAI
  • Gemini and Claude APIs
  • streaming
  • function calling
  • cost control
05 Embeddings & vector databases
  • semantic search
  • chunking strategies
  • ChromaDB / FAISS
06 RAG applications
  • document loaders
  • retrieval pipelines
  • LangChain
  • answer quality and citations
07 AI agents
  • tool use
  • multi-step reasoning
  • memory
  • agent frameworks
  • guardrails
08 Open-source models
  • Hugging Face
  • running local models
  • fine-tuning overview
09 Ship it
  • FastAPI backend
  • Streamlit UI
  • deployment
  • monitoring
  • responsible and safe AI

Projects you’ll build

01

Chat-with-your-PDF assistant (RAG)

02

AI resume and cover-letter reviewer

03

Multi-tool AI agent that searches, calculates and summarises

04

Deployed AI web app with a FastAPI backend and chat UI

Tools & technologies

  • Python
  • OpenAI / Gemini / Claude APIs
  • LangChain
  • Hugging Face
  • ChromaDB
  • FastAPI
  • Streamlit
  • Git

How the program runs

  1. LearnLive classes, 2–3 times a week, in a batch of 10–15.
  2. BuildA guided project after each module, reviewed by your mentor.
  3. InternshipA team project with real workflows — Git, reviews, deadlines.
  4. Career readyCertificate plus a GitHub portfolio you can show recruiters.

About Generative AI

Generative AI is changing how software is built. In this program you learn to build practical AI applications with large language models — from prompt engineering and LLM APIs to retrieval-augmented generation (RAG), AI agents and deployment. Every module ends with a working project you can add to your portfolio.

New program

Generative AI: build the apps everyone is talking about

Go beyond using ChatGPT. Learn to build your own AI chatbots, document assistants and agents with large language models — and ship them as real, deployed projects.

  • Prompt engineering
  • LLM APIs — OpenAI, Gemini, Claude
  • Embeddings & vector databases
  • RAG — chat with your documents
  • AI agents & tool calling
  • Deploy AI apps with FastAPI
Enroll in this program

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Your next step

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