Work smarter with Copilot in Microsoft Fabric (DP-3029)
Course Length: 1 day
Learn to use Copilot to enhance your productivity in Microsoft Fabric

Register or Request Training
- Private class for your team
- Live expert instructor
- Online or on‑location
- Customizable agenda
- Proposal turnaround within 1–2 business days
Course Overview
This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
The audience for this course is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted at those individuals who develop reports that visualize data from the data platform technologies that exist both in the cloud and on-premises.
Course Benefits
- Build and schedule data-ingestion pipelines (Dataflows Gen2, Pipelines) by prompting Copilot.
- Ingest, transform, and orchestrate datasets with Copilot-generated and explained Spark code.
- Generate, refine, and fix T-SQL for lakehouses and warehouses using Copilot chat and inline completions.
- Create and modify warehouse objects (tables, views, procedures) with Copilot and validate results.
- Develop Power BI semantic models and report pages by prompting Copilot to create measures, visuals, and narrative summaries; ask natural-language questions to add insights.
- Design and deploy Fabric Data Agents that provide secure, governed conversational access to OneLake data.
- Configure and govern Copilot in Fabric (tenant/capacity, permissions), monitor token consumption, and implement cost-optimization for a scalable rollout.
Delivery Methods
Delivered for your team at your site or online.
Microsoft Certified Partner
Webucator is a Microsoft Certified Partner. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).
Course Outline
- Introduction to Copilot in Microsoft Fabric
- Understand Copilot for Microsoft Fabric Data Factory
- Understand Copilot for Data Engineering and Data Science
- Understand Copilot for Data Warehouse
- Understand Copilot in Power BI
- Understand Copilot for Real-Time Intelligence
- Understand Copilot for SQL Database Workload
- Understand Microsoft Fabric data agents
- Get started with Copilot in Microsoft Fabric for data engineering
- Use Copilot with Microsoft Fabric Dataflow Gen2
- Use Copilot with Microsoft Fabric data pipelines
- Use Copilot in Microsoft Fabric notebooks
- Get started with Copilot in Microsoft Fabric for Data Warehouse
- Use Copilot code completion in Microsoft Fabric's Data Warehouse
- Use Copilot chat in Microsoft Fabric's Data Warehouse
- Use Copilot quick actions in Microsoft Fabric's Data Warehouse
- Review best practices using Copilot in Microsoft Fabric's Data Warehouse
- Get started with Copilot in Power BI
- Use Copilot in Power BI to prepare and model data
- Create reports with Copilot in Power BI
- Get your data ready for AI usage in Power BI
- Implement Microsoft Fabric Data Agents (chat with your data)
- Understand Microsoft Fabric data agent capabilities
- Implement an end-to-end Microsoft Fabric data agent
- Integrate Microsoft Fabric data agents with Azure AI Foundry
- Use Microsoft Fabric data agents within Power BI
- Manage Copilot in Microsoft Fabric
- How Copilot in Microsoft Fabric works
- Enable Copilot in Microsoft Fabric
- Understand Copilot in Microsoft Fabric consumption
- Scale Copilot in Microsoft Fabric
Class Materials
Each student receives a comprehensive set of materials, including course notes and all class examples.
Class Prerequisites
Experience in the following is required for this Microsoft Power Platform class:
Before starting the class, students should be familiar with basic data concepts and terminology, including data engineering, modeling, and analysis.
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