Many organizations want to deliver AI-driven insights-but struggle with fragmented pipelines, inconsistent governance, and data platforms that aren’t designed for modern analytics at scale. This hands-on full-day workshop shows how to design and implement a practical, real-world analytics platform using Microsoft Fabric that prepares your data for trusted reporting, automation, and AI scenarios.

Working through guided exercises and architecture-driven examples, attendees will explore the Fabric environment, set up repository-integrated development workflows, and implement scalable ingestion and transformation patterns using Data Factory, Notebooks, SQL, etc. You’ll learn how to apply Medallion architecture and metadata-driven design to build structured Lakehouse solutions that support reliable analytics and enterprise-ready data engineering.

The session also demonstrates how CI/CD practices improve deployment confidence and how trusted datasets can be prepared for intelligent consumption through Microsoft Foundry. Participants will explore how Data Agents and Copilot can accelerate development and enable natural interaction with enterprise data.

By the end of the workshop, you’ll leave with reusable architecture patterns, practical implementation techniques, and a clear blueprint to build secure, scalable, AI-ready analytics platforms you can apply immediately in your own environment.

Assumed Knowledge:

Attendees should have a basic understanding of data engineering or analytics concepts such as ingestion, transformation, and SQL. Prior Microsoft Fabric experience is not required. For hands-on demos, access to an Azure or Fabric-enabled subscription is recommended.

Practical Takeaways:

1. Design an end-to-end, AI-ready analytics platform using Microsoft Fabric. 2. Implement Medallion architecture (Bronze, Silver, Gold) using Lakehouse patterns. 3. Build scalable metadata-driven ingestion pipelines for reusable data engineering solutions. 4. Set up Git integration and apply CI/CD practices for managing deployments across environments. 5. Use Fabric Data Agents, Copilot, and Microsoft Foundry to enable intelligent analytics experiences.

Out of Session Scope:

This workshop does not cover tenant setup in Microsoft Azure, provisioning Azure OpenAI Service from scratch, advanced Microsoft Power BI modelling, real-time streaming architectures, enterprise networking configuration, full governance rollout (e.g., Microsoft Purview), legacy platform migrations, or advanced DevOps automation beyond introductory CI/CD concepts.