What’s Included?

icon High-Quality Video, E-book & Audiobook icon Module Quizzes icon AI Mentor icon Access for Tablet & Phone

Prerequisites

    • Familiarity with basic data concepts and terminology
    • Understanding of machine learning fundamentals
    • Experience with data exploration and analysis
    • Access to Microsoft Fabric workspace

Skills You’ll Gain

  • Notebook-Based Exploration
  • Data Preprocessing Tasks
  • Model Training Automation
  • MLflow Model Management
  • Prediction Generation
  • Model Deployment Insights
  • Collaborative Data Science
  • Workflow Integration

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Tools You’ll Master

MLflow

MLflow

Microsoft Fabric

Microsoft Fabric

Data Wrangler

Data Wrangler

Pandas Dataframe

Pandas Dataframe

What You’ll Learn

Explore Data with Notebooks

Uncover patterns and insights using interactive notebooks.

Transform with Data Wrangler

Clean and shape data for analysis and modeling.

Train and Track Models

Use MLflow to manage model lifecycle in Fabric.

Deploy and Predict

Generate batch predictions from deployed AI models.

Course Modules

Lesson 1: Implement a data science and machine learning solution for AI in Microsoft Fabric

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

Frequently Asked Questions

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.