Generative & Agentic AI | 2-Day Workshop at BITS Pilani Hyderabad Campus

2 Days Hands-on Workshop with Globally recognized CertificationVenue: Bits Pilani, Hyderabad CampusNote: 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 AllSuitable 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 ContentIntroduction 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 modelsGenerative 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 GANsTransformers & 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 AnsweringMastering 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 interfaceGit Workflows• Git workflows• Git cheat sheet and essential commandsReinforcement 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 ChatGPTGenAI 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 ChainRetrieval-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 APIsAdvanced 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 embeddingsHugging 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 StreamlitProfessional Networking• Connect with industry experts and fellow professionals• Stay updated with the latest tools, trends, and hiring insightsCertificationAll 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