Generative AI: From Concepts to Real-World Applications
A practical, code-first workshop for engineering students. In three days your students go from their first LLM API call to shipping a real AI app — chatbots, RAG pipelines over their own documents, and tool-using agents. Everything runs on free-tier tools like Groq and Google Colab.
LLMs · RAG · Agents
From first API call to a shipped app
3
Days, ~5 hrs each
18
Hands-on sessions
6+
Real mini-projects
₹0
Tooling cost (free tier)
Zero to shipping real GenAI apps in three days
Most AI sessions stop at slides. This one is code-first from the very first hour — every concept lands with a notebook students run themselves. They leave having actually built chatbots, a document Q&A system and an AI agent.
- ✓Who it's for: engineering students with basic Python — no prior AI experience needed.
- ✓Format: on-campus or blended, ~5 hours a day, with breaks and live build time.
- ✓Setup: just a browser. Google Colab plus a free Groq API key — nothing to install.
The tech stack — all free-tier friendly
Groq API
Free, blazing-fast LLM inference
Google Colab
No local setup, free GPUs
LangChain
RAG & agent framework
ChromaDB
Local vector database
Streamlit
Ship a web UI in minutes
Sentence-Transformers
Free local embeddings
Talk to the model → give it your data → make it act
Each day builds on the last, ending in a project students can show off.
Every session, in detail
The complete, hands-on syllabus students work through — concepts, runnable code, gotchas and practice problems.
Projector-friendly slideshow — one session per slide. Use ← → to navigate.
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