Engaging visual content to enhance understanding and learning experience.
Insightful audio sessions featuring expert discussions and real-world cases.
Listen and learn anytime with convenient audio-based knowledge sharing.
Comprehensive digital guides offering in-depth knowledge and learning support.
Interactive assessments to reinforce learning and test conceptual clarity.
Supplementary references and list of tools to deepen knowledge and practical application.
MLflow
Microsoft Fabric
Data Wrangler
Pandas Dataframe
Uncover patterns and insights using interactive notebooks.
Clean and shape data for analysis and modeling.
Use MLflow to manage model lifecycle in Fabric.
Generate batch predictions from deployed AI models.
Module 1: Introduction to end-to-end analytics using Microsoft Fabric
Module 2: Get started with data science in Microsoft Fabric
Module 3: Explore data for data science with notebooks in Microsoft Fabric
Module 4: Preprocess data with Data Wrangler in Microsoft Fabric
Module 5: Train and track machine learning models with MLflow in Microsoft Fabric
Module 6: Generate batch predictions using a deployed model in Microsoft Fabric
It’s a unified platform for managing data, training models, and generating AI-driven insights.
Basic familiarity with data science workflows and tools like notebooks is helpful.
Yes, it includes practical labs and exercises for real-world scenarios.
MLflow is a tool for tracking experiments, managing models, and streamlining the machine learning lifecycle.
Data scientists, analysts, and engineers looking to build AI solutions in Microsoft Fabric.