IBM WatsonLabs India

Register here again: IBM Granite AI Lab: Build AI Applications with Granite, RAG & LangChain · Luma

Venue: IBM Office, Gurugram
IBM BOB COVERED BY IBM TEAM

IBM WatsonLabs India presents IBM Granite AI Lab, a hands-on workshop focused on building practical AI applications using IBM Granite foundation models and modern Generative AI frameworks.

This workshop introduces participants to real-world AI workflows including text summarization, Retrieval Augmented Generation (RAG), time series forecasting, entity extraction, and multimodal AI applications using IBM Granite models.

Participants will work with LangChain, Ollama, Jupyter Notebooks, and Google Colab while learning how enterprise-ready open-source AI models can be used to solve practical business and research problems.

By the end of the session, attendees will gain hands-on experience building AI-powered workflows using IBM Granite foundation models.

To encourage community engagement and improve attendee experience, light refreshments/snacks will be provided during the event along with IBM-branded swag and participation goodies for attendees.

Key Learning Outcomes:
• Introduction to IBM Granite AI foundation models
• Text summarization using Generative AI
• Retrieval Augmented Generation (RAG) workflows
• Time series forecasting with Granite Timeseries Models
• Entity extraction from unstructured text
• Multimodal RAG using PDFs and images
• Building AI pipelines with LangChain
• Working with Jupyter notebooks and Google Colab

Agenda:
Registrations, Networking & Welcome
IBM Team - Learn N Know IBM BOB
Introduction to IBM Granite Models & Enterprise AI
Lab 1: Document Summarization with Granite
Lab 2: Retrieval Augmented Generation (RAG) with LangChain
Networking Break & Refreshments
Lab 3: Energy Demand Forecasting with Granite Timeseries Models
Lab 4: Entity Extraction from Unstructured Text
Lab 5: Multimodal RAG using Granite and Docling
Project Showcase, Q&A & Community Discussion
Swag Distribution, Feedback Collection & Closing Note

Requirements:
Participants should bring their own laptops with internet access and a Google account for Colab access. Wifi Access provided.