BEGIN:VCALENDAR VERSION:2.0 PRODID:-//360exp//Calendar//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:360exp REFRESH-INTERVAL;VALUE=DURATION:PT1H X-PUBLISHED-TTL:PT1H X-WR-TIMEZONE:Asia/Kolkata BEGIN:VEVENT UID:f0473293-1cb6-4fa6-9079-519d9dc29451@360exp.net SEQUENCE:29818018 DTSTAMP:20260920T200539Z LAST-MODIFIED:20260910T225849Z DTSTART:20261114T043000Z DTEND:20261115T113000Z SUMMARY:Mastering Generative & Agentic AI | 2 Days Workshop at IIIT Bengalu ru LOCATION:IIITB DESCRIPTION:Mastering: Generative & Agentic AIEligibility: Can be joined by both Engineering and bio-medical and other students also who are interest ed in making their career and want to update in AI. (Open to All)Duration: 2 Days (14-16 HRS)Course ContentIntroduction to Generative AI:Get to know about what is GenAIDifference between AI\, Machine Learning & Deep Learni ng Difference between Discriminative AI vs Generative AI Tools involved in GenAIKnow about privileged GenAI tools and Models.Effective Road Map to e xplore the GenAI Model.Generative ArchitectureIntroduction to Generative A dversarial Network (GAN) ArchitectureKnow about the Generator & Discrimina tor ModelsHow GAN architecture uses for Deep Fake ModelDifference between Variational Auto Encoders (VAEs) vs GAN architecture Hands-on: Development of Generative Images using GAN Complex Architecture Hands-on: Create your own “Deep Fake Model” using low-level GAN Structure. Deep insights of GAN applications & drawbacks of it.Attention Is All You Need – Transfor mers & LLMsWhat is Transformer? How the architecture looks like? Text Gene ration before transformersKnow about Attention Model vs Multi-Head Attenti on Model vs Scaled Dot- Product Attention Difference between Encoder & Dec oder Architecture. Difference between Batch vs Layer NormalizationStep-int o the most famous transformer community – Hugging FaceText Generation af ter transformersIntroduction to Large Language Models (LLMs)Popular LLMs: BERT\, BART\, DistilBertHands-on: Conversation AI using pre-trained LLM Mo delHands-on: Image Caption Generator using pre-trained LLM Model Hands-on: Customized & Fine-tuning Question & Answering BERT Model Hands-on: Custom ized & Fine-tuning DistilBert ModelMastering Generative AI (Exploring the Frontiers of Generative Models)Learn about GPT (Generative Pre-trained Mod el )Fine-Tuning the LLM Model on a specific task & Model Evaluation Parame ter Efficient Fine-Tuning (PEFT)Vision Transformer – ViT Model with API interfaceLearn about Vision Transformer Architecture and its variable comp onents.Understand about Image Vectorization\, Patches extraction & Positio nal Encoding.Hands-on: Pre-trained Google ViT Model for Image Classificati onHands-on: Customized ViT architecture (RAW Structure for ViT Base)Hands- on: Create your own ViT Multi-class classification and deploy the model in to HuggingFace Hug using API Interface.Git workflowsGit cheat sheetReinfor cement Learning From Human Feedback:Deep Insight of RLHFRLHF: Obtaining fe edback from humans RLHF: Reward modelRLHF: Fine-tuning with reinforcement learningRelative Sync of ChatGPT with RLHFGenAI – LangChain Framework:Wh at is LangChain?Usage of LangChain Framework? How it works?Integrating the LangChain Framework with LLM Model.Understand about the Langchain pipelin e end points\, Chains & Prompt Template.Hands-on: Create the simple LLM La ngchain using the HuggingFace API InterfaceHands-on: Create the Langchain framework including with promptTemplate\, AutoTokenizer & LLM Chain interf acing with HuggingFace API InterfaceGenAI – Retrieval Augmented Generati on (RAG)Explore the different tools in LangChain and initialise an agent t hat uses the tools to read different types of files or data present in the company databaseBuild the backend for the system using Vectorstore option s present in LangChain Divide the documents into chunks and apply the LLM to create the embeddings. Extract entity for the chunks of document and st ore them in the VectorstoreConstruct the Search Index and Entity Store and create a functionality to update it with every question that the user ask sUse the Chain functionality of LangChain to connect all the componentsHan ds-on: Create your simple RAG pipeline with FAISS Vector Store similarity search using OpenAI API or HuggingFace End-point API Interface.Hands-on: C reate your own Retrieval QA End-to-End RAG pipeline using OpenAI/HuggingFa ce API.GenAI Advanced- LangGraph & VectorDB/ChromaDBBuild an agent from sc ratch\, and understand the division of tasks between the LLM and the code around the LLM.Integrate agentic search capabilities to enhance agent know ledge and performance.Learn how agentic search retrieves multiple answers in a predictable format\, unlike traditional search engines that return li nks.Incorporate human-in-the-loop into agent systemsHands-on: Create your own Retrieval pipeline using ChromaDB to store the pdf embedding chunks.Ad d-on: Hugging Spaces- Knowledge to deployHow to use the Llama & other popu lar LLM models in HuggingFace Spaces. How to create the new workspace and initializing your repository?Hands-on: Build and deploy your own GenAI App lication in Hugging Face Spaces using Streamlit.Professional NetworkingCon nect with industry experts and fellow professionalsStay updated with the l atest tools\, trends and hiring insightsCertificationAll participants will receive a globally recognized hardcopy certificate after the workshop.Eli gibility:Open to AllB.Tech\, B.E.\, M.B.B.S.\, BCA\, MCA\, MS\, MD\, B.Sc IT\, M.Sc IT\, Biomedical\, Bio-Technology\, BBA\, MBA\, B.A.\, hobbyists and more.Key Benefits:✔️ Hands-on workshop with real-world use cases ✔️ Industry-driven curriculum✔️ Exposure to leading tech tools and AI applications✔️ Mentorship from domain experts✔️ Networking opp ortunities with professionals\n\nBoletos: https://www.district.in/events/m astering-generative-agentic-ai-2-days-workshop-at-iiit-bengaluru-nov14-202 6-buy-tickets URL;VALUE=URI:https://360exp.net/events/f0473293-1cb6-4fa6-9079-519d9dc2945 1 STATUS:CONFIRMED END:VEVENT END:VCALENDAR