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DP-604T00: Implement a data science and machine learning solution for AI with Microsoft Fabric
Take your first steps into data science and machine learning with Microsoft Fabric. This beginner-friendly course walks you through the full data science process, from exploring and cleaning data to training, tracking and using machine learning models to generate predictions. It uses Fabric tools such as notebooks, Data Wrangler and MLflow throughout.
Duration
8 Hours (1 Day)
Modules
1 Modules
Course type
Microsoft
Course Overview
This beginner-level learning path introduces data scientists, analysts, and engineers to the data science lifecycle in Microsoft Fabric. You’ll learn to explore and preprocess data, train machine learning models, track experiments, and generate predictions—all within a unified analytics platform. The course emphasizes collaboration, scalability, and integration across Fabric’s AI capabilities.
Before You Begin
- Familiarity with basic data concepts and terminology
- Understanding of machine learning fundamentals
- Experience with data exploration and analysis
- Access to Microsoft Fabric workspace
Key outcomes
- 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.
Tools you’ll use
MLflow
Microsoft Fabric
Data Wrangler
Pandas Dataframe
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
What You’ll Learn
1 module
1Lesson 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
Certification & Credentials
Certificate track
8 Hours (1 Day)
Target Audience
Intended roles
- Data Scientist
- Machine Learning Engineer
Frequently asked questions
What is Microsoft Fabric used for in data science?
It’s a unified platform for managing data, training models, and generating AI-driven insights.
Do I need coding experience?
Basic familiarity with data science workflows and tools like notebooks is helpful.
Is this course hands-on?
Yes, it includes practical labs and exercises for real-world scenarios.
What is MLflow?
MLflow is a tool for tracking experiments, managing models, and streamlining the machine learning lifecycle.
Who should take this course?
Data scientists, analysts, and engineers looking to build AI solutions in Microsoft Fabric.
| Duration | 8 Hours (1 Day) |
|---|---|
| Modules | 1 Modules |
| Course type | Microsoft |
| Category | Microsoft |
| Intended roles | Data Scientist, Machine Learning Engineer |
| Prerequisites | Familiarity with basic data concepts and terminology, Understanding of machine learning fundamentals, Experience with data exploration and analysis, Access to Microsoft Fabric workspace |
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