About the Event

Mastering Generative and Agentic AI: Creative Intelligence in Action

Advanced Tech Workshop 2026

Introduction to Generative AI

Understand what Generative AI (GenAI) is

Distinguish between AI, Machine Learning, and Deep Learning

Discriminative AI vs. Generative AI & Agentic AI

Overview of tools used in GenAI

Explore privileged GenAI tools and models

Roadmap to explore GenAI models

Generative Architectures

Introduction to Generative Adversarial Networks (GANs)

Learn about Generator and Discriminator models

Understand how GANs are used in Deepfake models

Compare Variational Autoencoders (VAEs) vs. GANs

Hands-on:

Develop generative images using a complex GAN architecture

Build your own Deepfake model using a low-level GAN structure

Explore the applications and limitations of GANs

Attention Is All You Need – Transformers and LLMs

What is a Transformer?

Architecture of a Transformer

Text generation before Transformers

Attention model vs. Multi-Head Attention vs. Scaled Dot-Product Attention

Encoder vs. Decoder architecture

Batch Normalization vs. Layer Normalization

Introduction to Hugging Face and its community

Text generation after Transformers

Introduction to Large Language Models (LLMs)

Popular LLMs: BERT, BART, DistilBERT

Hands-on:

Conversational AI using pre-trained LLM models

Image caption generator using pre-trained LLMs

Customized fine-tuning of BERT for Q&A

Customized fine-tuning of DistilBERT

Mastering Generative AI: Exploring the Frontiers of Generative Models

Learn about GPT (Generative Pre-trained Transformers)

Fine-tuning LLMs for specific tasks and evaluating models

Efficient fine-tuning with PEFT (Parameter-Efficient Fine-Tuning)

Vision Transformers (ViT)

Learn the architecture of Vision Transformers

Understand image vectorization, patch extraction, and positional encoding

Hands-on:

Use pre-trained Google ViT models for image classification

Customize ViT base architecture

Build your own multi-class ViT model and deploy it to Hugging Face using APIs

Reinforcement Learning From Human Feedback (RLHF)

Deep dive into RLHF

Collecting human feedback

Reward modeling

Fine-tuning with reinforcement learning

How RLHF powers tools like ChatGPT

GenAI with LangChain Framework

What is LangChain?

How does LangChain work?

Integrating LangChain with LLMs

Learn about endpoints, chains, and prompt templates

Hands-on:

Build a simple LLM application using Hugging Face API

Create a LangChain pipeline using PromptTemplate, AutoTokenizer, and LLMChain

GenAI – Retrieval Augmented Generation (RAG)

Explore tools in LangChain and initialize agents for data handling

Build backend systems using Vectorstore

Chunk documents and create embeddings with LLMs

Extract entities and store them in Vectorstore

Construct a search index and enable dynamic updates based on user queries

Use LangChain's chaining functionality to connect all components

Certification

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

Eligibility

Open to all!

B.Tech, B.E., BCA, MCA, B.Sc IT, M.Sc IT, MBBS, MS, MD, Biomedical, Biotechnology, BBA, MBA, B.A., and hobbyists from all backgrounds

Key Benefits

✔️ Real-world use cases of GenAI in creative and business fields

✔️ Hands-on experience with top GenAI platforms

✔️ Industry-relevant curriculum curated by AI professionals

✔️ Learn how to build and monetize using AI tools

✔️ Network with innovators, creators, and recruiters