1-Week Residential Program on Generative AI
π IIT Goa Campus
π 9th β 15th March 2026
- π° Registration Fee: 1000
- π Course Fee: 20000
- Payable in 2 installments after registration & seat confirmation
Introduction
This prgram has been designed to provide a holistic learning experience. The curriculum balances theoretical knowledge and hands-on practice, ensuring participants gain both foundational understanding and practical expertise.
Interactive sessions, real- world use cases, and collaborative hackathons help embed key concepts effectively.
The structured flow, from basic concepts to advanced applications, caters to diverse learning paces while promoting teamwork and problem-solving. This methodology ensures a robust, engaging, and outcome-driven learning journey for all participants.
Course Curriculum
Day 1
Foundations of Generative AI
Topics
- Evolution of Generative AI
- Understanding Generative Models
- Generative vs Discriminative
- Latent space, embeddings, representations
- GANs, VAEs, Diffusion Models, LLMs
Hands-on
- Setting up Python + PyTorch/TF environment
- Simple text & image generation demos using
- pre-trained models
Day 2
Large Language Models (LLMs)
Topics
- Transformer Architecture (Attention, Multi
- head Attention, Decoders/Encoders)
- How LLMs work internally
- Prompt Engineering Basics
- Tokenization & model inference pipelines
- Open-source LLMs (LLama 3, Mistral, GPT
- models, Phi models)
Hands-on
- Running LLMs locally
- Basic prompt engineering tasks
- Creating a Q&A chatbot using HuggingFace
- models
Day 3
Fine-Tuning & Customization of LLMs
Topics
- Why & When to Fine-tune
- Fine-tuning Techniques:
- Full fine-tuning
- LoRA / QLoRA
- PEFT (Parameter Efficient Fine Tuning)
- Retrieval Augmented Generation (RAG)
- Vector Stores (FAISS, Chroma)
- Embeddings
- Knowledge-base Integration
Hands-on
- Fine-tuning an LLM for a custom domain
- dataset
- Building a RAG-based assistant
Day 4
Image, Video & Multimodal Generative AI
Topics
- Diffusion Models (Stable Diffusion, SDXL)
- Text-to-Image, Image-to-Image
- Generative Video Models (Sora, Pika)
- Audio & Speech Generation
- Multimodal Models
- CLIP
- LLaVA
- GPT-4o style models
Hands-on
- Generate images using Stable Diffusion
- Build a multimodal captioning model
- Simple audio generation demo
Day 5
Applications, Deployment & MLOps for GenAI
Topics
- Real-world Applications
- EdTech, Healthcare, FinTech, Robotics,
- Marketing
- AI Agents & Workflow Automation
- Model Optimization
- Quantization
- Distillation
- Deployment Techniques
- API deployment
- Dockerization
- FastAPI/Streamlit integration
- Ethics, Safety, Bias, Evaluation Metrics
Hands-on
- Deploy a GenAI app on a local/Cloud server
- Create an interactive GenAI-based web
- application
Day 6
Capstone Project + Industry Sessions + Evaluation
Activities
- Activities
- Capstone Project (Group Activity):
- Choose one:
- Custom Chatbot for Institution/Business
- Image Generation Application
- RAG-based Document Assistant
- AI Agent for Workflow Automation
- Multimodal App (image + text)
- Industry Expert Lecture / IIT Guwahati Faculty
- Session
- Project Presentation & Evaluation
- Feedback & Certification Ceremony
Deliverables / Takeaways
Certificate of Completion
Joint certificate awarded by Alcheringa, IIT Guwahati & Bsates
Lab Source Code
Complete source code for all hands-on labs and practice sessions
Deployed GenAI Apps
Fully deployed Generative AI applications built during the program
Project Portfolio
Career-ready project portfolio for job interviews and professional growth

.png
)