People often ask me where to start with Microsoft Fabric. My answer is usually Microsoft’s own course for the Fabric Analytics Engineer role. It’s structured, it’s Microsoft’s official course material, and you can work through the learning paths at your own pace on Microsoft Learn.
The resource
- Title: Course DP-600T00-A: Implement analytics solutions using Microsoft Fabric
- Provider: Microsoft Learn
- Author: Microsoft (official course material)
- Related certification: Microsoft Certified: Fabric Analytics Engineer Associate (exam DP-600)
- Link: Implement analytics solutions using Microsoft Fabric on Microsoft Learn
What it covers
The course covers how to prepare, enrich and serve data for analysts, report developers and AI agents. It focuses on dimensional modelling and on transforming data with dataflows, notebooks and T-SQL across lakehouses, warehouses and eventhouses. It also covers semantic models, the analytics development lifecycle, and security and governance. You can take it with an instructor or study the five learning paths on your own:
- Explore analytics data stores in Microsoft Fabric
- Design and transform analytics data in Microsoft Fabric
- Design and manage semantic models in Microsoft Fabric
- Prepare AI-ready analytics data in Microsoft Fabric
- Secure and govern analytics data in Microsoft Fabric
Who it’s for
Microsoft pitches it at data professionals who already know data modelling, transformation and analytics. You should be comfortable with SQL or DAX, and some Power BI semantic model experience helps. KQL and Python are useful but not required. If you’re brand new to data, start with the fundamentals first.
My take
I like that this course treats Fabric as one platform rather than a list of separate tools. The learning paths on AI-ready data and on security and governance are the ones I’d point most teams to, because those are the areas I see skipped most often on real projects. Do the exercises in a trial or sandbox workspace rather than just reading. Fabric makes much more sense once you’ve built a lakehouse, a semantic model and a report end to end yourself.
Even if you never sit the DP-600 exam, the learning paths are a solid checklist of what a Fabric analytics engineer should know.
This is an independent recommendation. I’m not affiliated with Microsoft Learn, and all course content belongs to Microsoft.
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