2 Days Hands-on Workshop with Globally recognized Certification

Venue: Bits Pilani, Hyderabad Campus

Note: Stay is also available for students only from 16 years onwards on sharing basis inside the campus from Atmos Bits Hyderabad.

⏱️ Duration: 2 Days, 14–16 Hours

🎓 Eligibility: Open to All

Suitable for B.Tech, B.E., M.B.B.S., BCA, MCA, MS, MD, B.Sc IT, M.Sc IT, Biomedical, Biotechnology, BBA, MBA, B.A., hobbyists, and more.

Course Content

Introduction To Generative AI

• Introduction to Generative AI and its applications

• Differences between AI, Machine Learning, and Deep Learning

• Discriminative AI vs Generative AI

• Tools and models used in Generative AI

• Exploring leading Generative AI tools and models

• Roadmap for exploring Generative AI models

Generative Architecture

• Introduction to Generative Adversarial Networks (GANs)

• Understanding Generator and Discriminator models

• Applications of GAN architecture in deepfake models

• Variational Autoencoders (VAEs) vs GANs

• Hands-on: Developing generative images using GAN architecture

• Hands-on: Creating a deepfake model using a low-level GAN structure

• Applications and limitations of GANs

Transformers & Large Language Models

• Introduction to Transformers and their architecture

• Text generation before and after Transformers

• Attention, Multi-Head Attention, and Scaled Dot-Product Attention

• Encoder vs Decoder architecture

• Batch vs Layer Normalization

• Introduction to Hugging Face

• Introduction to Large Language Models (LLMs)

• Popular LLMs including BERT, BART, and DistilBERT

• Hands-on: Conversation AI using a pre-trained LLM

• Hands-on: Image Caption Generator using a pre-trained LLM

• Hands-on: Customising and fine-tuning BERT and DistilBERT models for Question Answering

Mastering Generative AI

• Introduction to GPT and Generative Pre-trained Models

• Fine-tuning LLMs for specific tasks

• Model evaluation parameters

• Parameter-Efficient Fine-Tuning (PEFT)

Vision Transformers

• Introduction to Vision Transformer (ViT) architecture

• Image vectorisation, patch extraction, and positional encoding

• Hands-on: Using a pre-trained Google ViT model for image classification

• Hands-on: Building a customised ViT architecture

• Hands-on: Creating a ViT multiclass classification model

• Deploying models on Hugging Face using an API interface

Git Workflows

• Git workflows

• Git cheat sheet and essential commands

Reinforcement Learning From Human Feedback

• Understanding RLHF

• Obtaining human feedback

• Reward models

• Fine-tuning with reinforcement learning

• Understanding the role of RLHF in systems such as ChatGPT

GenAI With LangChain

• Introduction to LangChain and its applications

• Integrating LangChain with LLMs

• LangChain pipelines, chains, and prompt templates

• Hands-on: Building an LLM application using the Hugging Face API

• Hands-on: Building a LangChain application using PromptTemplate, AutoTokenizer, and LLM Chain

Retrieval-Augmented Generation (RAG)

• Introduction to RAG and its applications

• Exploring LangChain tools and agents for working with files and databases

• Building a backend using vector stores

• Document chunking and embedding generation

• Entity extraction and vector store management

• Building search indexes and entity stores

• Connecting components using LangChain chains

• Hands-on: Building a RAG pipeline with FAISS similarity search

• Hands-on: Building an end-to-end Retrieval QA RAG pipeline using OpenAI or Hugging Face APIs

Advanced GenAI: LangGraph & Vector Databases

• Building an agent from scratch

• Understanding task division between the LLM and supporting code

• Integrating agentic search capabilities

• Understanding agentic search and structured information retrieval

• Incorporating human-in-the-loop workflows

• Hands-on: Building a retrieval pipeline using ChromaDB for PDF embeddings

Hugging Face Spaces

• Using Llama and other popular LLMs with Hugging Face Spaces

• Creating a new workspace and repository

• Hands-on: Building and deploying a Generative AI application using Streamlit

Professional Networking

• Connect with industry experts and fellow professionals

• Stay updated with the latest tools, trends, and hiring insights

Certification

All participants will receive a globally recognized hardcopy certificate after completing the workshop.

Key Benefits

✔️ Hands-on learning with real-world use cases

✔️ Industry-driven curriculum

✔️ Exposure to leading AI tools and applications

✔️ Mentorship from domain experts

✔️ Professional networking opportunities