https://store-images.s-microsoft.com/image/apps.65072.fe59f4f3-5f35-49bd-8f5f-c9072646f7e6.72cae27b-0173-407a-9bda-d926cc66bf53.684a252e-b48d-4a2d-bbad-c4bf0642fef9

Microsoft Fabric Data Science Custom Training - 3 Days

Santor Technologies

3-day Microsoft Fabric workshop on data engineering, data science, and ML workflows with hands-on labs

This customizable three-day training provides a hands-on introduction to Microsoft Fabric, focusing on its powerful data engineering and data science capabilities for your environment. Participants will explore core components such as OneLake, lakehouses, and Apache Spark, then dive into data science workflows using notebooks, experiments, and models. The final day covers advanced techniques including model deployment, orchestration, and monitoring, equipping attendees with the skills to build and manage end-to-end machine learning solutions within the Microsoft Fabric ecosystem.

Day 1: Microsoft Fabric Environment
- Module 1: Introduction to Microsoft Fabric
- Module 2: One Lake and Direct Lake
- Module 3: Lake houses and Data Warehouses
- Module 4: Data Flows Gen2
- Module 5: Apache Spark

Day 2: Exploring Data Science in Microsoft Fabric
- Module 6: Notebooks
- Module 7: Experiments
- Module 8: Models
- Module 9: Semantic Link

Day 3: Advanced Data Science Techniques in Microsoft Fabric
- Module 10: Compare and Scoring Models
- Module 11: Model orchestration
- Module 12: Model Deployment and MLOps
- Module 13: Model monitoring

Why choose Santor?
- Microsoft MVPs and Microsoft Certified Trainers with real-world implementation experience.
- 50+ Microsoft Certified Professionals
- Hosts Microsoft-partnered workshops like Fabric Analyst in a Day (FAIAD).
- Delivers monthly webinars, blog content, and other insights as an active thought leader

Rychlý přehled

https://store-images.s-microsoft.com/image/apps.24146.fe59f4f3-5f35-49bd-8f5f-c9072646f7e6.72cae27b-0173-407a-9bda-d926cc66bf53.0666e7bd-35fd-4192-8e8e-3a1dcf88a656
https://store-images.s-microsoft.com/image/apps.22985.fe59f4f3-5f35-49bd-8f5f-c9072646f7e6.72cae27b-0173-407a-9bda-d926cc66bf53.53c360bb-0000-40cf-8860-d86988e3131c