Dp-604t00: Implement a Data Science and Machine Learning Solution for AI With Microsoft Fabric

The DP-604T00: Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric course teaches data scientists to build ML solutions in Microsoft Fabric. This 8-hour applied skills course covers Fabric notebooks, MLflow experiments, model training, AutoML, and model deployment within the Fabric ecosystem. Esamatic srl, a Microsoft Learning Partner in Milan, delivers this course with Microsoft Certified Trainers.

• Fabric Notebooks: PySpark and Python data exploration and feature engineering
• MLflow: experiment tracking, model logging, and model registry
• Model Training: scikit-learn, Spark ML, and Fabric AutoML
• Model Deployment: batch predictions, real-time scoring, and PREDICT function

Course Overview: DP-604T00

Data science in Microsoft Fabric provides an integrated environment for the complete ML lifecycle, from data exploration to model deployment, leveraging the same OneLake data used by data engineers and analysts.

Learning Objectives

1. Explore and prepare data — use Fabric notebooks for data exploration, visualization, and feature engineering
2. Train models — build ML models using scikit-learn and Spark ML, track experiments with MLflow
3. Use AutoML — leverage Fabric's automated ML for quick model prototyping and selection
4. Deploy and score models — register models, generate batch predictions, and use the PREDICT function in SQL

Who Should Attend

The DP-604T00 is for data scientists and ML engineers building machine learning solutions in Microsoft Fabric. Python experience is required.

Frequently Asked Questions

What is data science in Microsoft Fabric?

Fabric data science provides integrated notebooks, MLflow experiment tracking, AutoML, and model deployment capabilities within the unified Fabric platform, enabling data scientists to build and deploy models using the same data lake that powers analytics and BI.