DP-604T00: Implement a data science and machine learning solution for AI with Microsoft Fabric

About this course

This course is designed to build practical skills in implementing data science and machine learning solutions using Microsoft Fabric. The course explores the complete end-to-end data science process, from understanding and exploring data to preparing and transforming datasets for analysis. Students will learn how to train, evaluate, and track machine learning models, as well as how to deploy those models and generate predictions using Microsoft Fabric tools and capabilities. Audience Profile This course is intended for data professionals and practitioners who regularly work with machine learning models and are responsible for building, evaluating, and deploying data science solutions. Students should already be familiar with the data science process, Python, and common open-source machine learning frameworks such as scikit-learn.

Instructor-led training for professionals and companies in Chile. Request dates, schedules, seats and commercial terms. Training hours and daily scheduling follow Netsolutions planning and are confirmed in the commercial proposal.

Course syllabus

1. Implement a data science and machine learning solution for AI in Microsoft Fabric
2. Introduction to end-to-end analytics using Microsoft Fabric
3. Get started with data science in Microsoft Fabric
4. Explore data for data science with notebooks in Microsoft Fabric
5. Preprocess data with Data Wrangler in Microsoft Fabric
6. Train and track machine learning models with MLflow in Microsoft Fabric
7. Generate batch predictions using a deployed model in Microsoft Fabric