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Microsoft Fabric Training
Advance your Microsoft Fabric knowledge with our expert-led training courses.
How we help
Theta’s Fabric Centre of Excellence team will help your organisation to become confident and capable with the Microsoft Fabric platform. Our training courses have been designed to grow your knowledge and teach best practices along the way.
Classroom and virtual training
Designed for data engineers
4-8 students per class
Hands-on practical labs
Full day training (8 hours)
Demo data used, unless specified
Professionally put together material, delivered very well. Best of both worlds being able to follow along structured course content, plus delivered by experienced trainers who could answer questions.
Fabric training attendee
Microsoft Fabric for Intermediate Level
Ready to go beyond the basics in Microsoft Fabric? Our intermediate training helps you learn how to build robust data solutions.
Ideal for data engineers who want to enhance their skills in medallion architecture, data ingestion, Lakehouse and data warehouse solutions in Microsoft Fabric.
$4800*
Fabric fundamentals: End-to-end analytics, architecture and medallion model- Data ingestion and transformation: Concepts, Azure Data Factory and Dataflow Gen2
- Fabric data storage: Lakehouse, data warehousing and storage decisions
- Data processing & preparation: Notebooks, querying, transformation and preparation for analysis
- Advanced topic: Leveraging notebooks for data tasks
Microsoft Fabric for Advanced Level
Advance your Fabric data engineering expertise and enhance your skills in the more advanced data engineering components Fabric has to offer.
Ideal next step for data engineers who have completed the intermediate course - or those looking to gain exposure to working with Fabric shortcuts, mirroring, Apache Spark and real-time analytics.
$4800*
- Advanced Fabric concepts: End-to-end analytics, architecture, Lakehouse and data warehouse
- Real-time analytics and data management: KQL Database, Delta Lake
- Data integration mastery: Ingestion, shortcuts, mirroring, Data Factory & lifecycle
- Governance and monitoring: Security, compliance, licensing, capacity and admin tools
- Scalable data processing: Apache Spark & Python in Fabric, performance and optimisation