After this day you can carry out a data science project entirely in Microsoft Fabric. You explore data in notebooks, prepare it with Data Wrangler, train models and record experiments with MLflow. You then use a saved model to generate batch predictions and enrich tables with them. The course suits data scientists and data professionals who already use Python and scikit-learn and want to build their models where the company data already sits in Fabric.
What you’ll take away.
- Understand the data science workflow in Microsoft Fabric from data to prediction
- Explore data in notebooks and spot patterns
- Handle missing values and features with Data Wrangler
- Train models and track them in experiments with MLflow
- Use saved models for batch predictions and enrich data with them
Your training in detail
- Who is it for?
- Data scientists and data professionals who want to build and use machine learning models within Microsoft Fabric.
- Prerequisites
- You know the data science process, program in Python and have already trained models with libraries such as scikit-learn.
- Format & planning
- Standard length: 1 training day. A different length can be arranged for companies.
Agenda: from understanding to application
Our independently developed agenda proposal. Focus areas, lab environment and scope are agreed before booking.
Overview of end-to-end analytics with Microsoft Fabric
Data science in Fabric: notebooks, experiments and models
Exploring data with notebooks
Preprocessing with Data Wrangler
Training, comparing and managing models with MLflow
Batch predictions with a saved model
You explore a customer dataset in a notebook, clean it with Data Wrangler, train two model variants, compare them in an experiment and write the better model's predictions back to a table.
Exams, licences & credentials
There is no Microsoft exam for this course, so the course ends without a certification exam. It is not an official Microsoft course unless the offer explicitly says so.
Vendor references & review date
Sources checked on 2026-11-10. These sources describe the technology or external exam requirements. They do not imply a partnership with NextNowa.
Your learning content
These objectives describe the training topic. The specific syllabus, dates and trainer are agreed before booking; the written offer is binding.
Frequently asked questions
How does this course differ from DP-3014?
DP-604 uses the data science tools in Microsoft Fabric such as notebooks, Data Wrangler and batch predictions. DP-3014 covers machine learning on Azure Databricks.
Do I need Python skills?
Yes. The exercises run in Python notebooks, and you should already have trained models with libraries such as scikit-learn.
Does DP-604 Implement a data science and machine learning solution for AI with Microsoft Fabric: data science in Fabric include a certificate?
There is no Microsoft exam for this course, so the course ends without a certification exam. It is not an official Microsoft course unless the offer explicitly says so.