Do you know Fabric now comes up with workloads and features that enables you develop AI and BI solution securely and rapidly? In this tutorial, let us build practical BI and AI product in a day.

In first session, given real business analytics requirements, we will build PowerBI semantic model from scratch with data pipelines, data engineering and data warehouse workloads.

In second session, we will define an AI product starting with Agentic AI requirements for customer service. We will decide on LLM model, training data, AI Foundry APIs for inference, prompt output being aided by RAG seeding. For this session, we will use Azure AI services. We will orchestrate Fabric data pipelines with notebook, copy and web activities to achieve our goal.

By the end of the session, you will be empowered with knowhow of how Fabric brings all tools, APIs and repositories together for building AI/BI solutions.