Streamlined MLflow tracking within Microsoft Fabric
Strengths
Direct Workflow Implementation
Instruction follows a logical progression from workspace setup and notebook creation to loading dataframes and training models within the Fabric interface.

Learn step by step how to execute a machine learning problem in Microsoft Fabric using MLFlow
InstructorPrince PatniComidoc has tracked 10 coupons for this course since 2025, last checked 4h ago. On average, a new coupon appears roughly every 35 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| JULY_2026 | 100% off | Fully redeemed | 2d 22h | |
| FIFA_WORLDCUP_2026 | 100% off | Expired | ~30 daysRan full term | |
| 2026_JUNE | 100% off | Expired | ~25 daysRan full term | |
| MAY_2026 | 100% off | Expired | ~30 daysRan full term | |
| FEBRUARY_26 | 100% off | Expired | ~30 daysRan full term | |
| JAN_26 | 100% off | Expired | ~3 daysRan full term |
Instruction follows a logical progression from workspace setup and notebook creation to loading dataframes and training models within the Fabric interface.
The training is described as simple and easy to understand for those navigating the integration of Fabric and MLflow.
The practical application is centered on a single linear regression project; one signal from before the displayed update suggests a need for more diverse algorithms and data engineering depth, though the update label does not prove a correction has been made.
The curriculum aligns with the goal of teaching Microsoft Fabric workflows to various data professionals.