DP-3029: Work smarter with Copilot in Microsoft Fabric

This course is intended for data analysts, BI professionals, and developers who use Microsoft Fabric and want to improve their workflow with Copilot.

• Gain a clear understanding of how Copilot integrates with different areas of Fabric
• Learn to accelerate development and reporting with AI
• Discover practical solutions to everyday challenges and automate routine tasks
• Improve productivity and reduce manual work

Basic knowledge of key concepts and terminology in data processing, including data engineering, modeling, and analytics.

• Module 1: Introduction to Copilot in Microsoft Fabric
  Accelerate analytics with Copilot in Microsoft Fabric—learn how AI-assisted experiences streamline integration, engineering, warehousing, BI, real-time intelligence, SQL, and data agents to turn data into insights.
• Module 2: Get started with Copilot in Microsoft Fabric for data engineering
  Accelerate data engineering in Fabric with Copilot—apply AI prompts to ingest, transform, orchestrate, and explain dataflows, pipelines, and Spark code.
• Module 3: Get started with Copilot in Microsoft Fabric for Data Warehouse
  Accelerate warehouse analytics with Copilot in Fabric—use AI chat, inline completions, and quick actions to generate, refine, explain, and fix T-SQL while applying best-practice prompting.
• Module 4: Get started with Copilot in Power BI
  Copilot in Power BI increases productivity when developing semantic models and reports using Power BI. Copilot also allows you to interact with your data using natural language to gain insights.
• Module 5: Implement Microsoft Fabric Data Agents (chat with your data)
  Enable secure conversational access to enterprise data with Fabric data agents—design, configure, govern, and integrate AI-powered Q&A experiences across OneLake sources.
• Module 6: Manage Copilot in Microsoft Fabric
  This module covers the fundamentals of Copilot in Microsoft Fabric, including its architecture and governance model, configuration of tenant and capacity settings, monitoring of consumption with token-based costing, and strategies for scalable, cost-effective rollout.