DP-100: Azure Data Scientist - EN

Last Updated Sep 2025

Course Overview

Manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning and MLflow.

Duration - 10 Hours

Level - Intermediate

Style - Self paced

Course Type - Credential Ready

Certification - Yes

Hands on Labs - Yes

Solution Areas - Azure - Cloud & AI Platform

Course Modules

Welcome to Cert Prep

In this introductory module, we will walk you through the key information you need to know before starting your certification prep course. You'll gain a clear understanding of the steps, expectations, and benefits

Designing ML Training Solutions with Azure Machine Learning Workspace Configuration

This module introduces key concepts in designing machine learning solutions and configuring Azure ML workspaces. You'll learn to structure datasets, select compute resources, and explore Azure ML tools—covering workspace setup, data assets, compute targets, and a live demo with AutoML.

Running Experiments and Optimizing Model Training in Azure Machine Learning

This module focuses on experimenting with Azure Machine Learning through custom model training using notebooks and terminal configurations, alongside model tracking via MLflow. It then explores optimization techniques using automated hyperparameter tuning—covering sampling strategies, search space design, and performance metrics to streamline and enhance model accuracy.

Model Management, Deployment, and Consumption with Azure Machine Learning

This module covers model management and deployment in Azure Machine Learning. Learners will explore registering and reviewing MLflow models, defining model signatures, and packaging feature specifications. The session also walks through deploying models to online and batch endpoints, configuring compute, and validating services for scalable consumption.

Optimize language models for generative AI applications

This module explores the optimization of language models for generative AI on Azure. Participants will learn to select, deploy, and benchmark models using the Azure AI Foundry SDK, evaluate their performance with manual testing and playground tools, and build effective AI applications through hands-on comparisons and guided demos.

Getting Ready for the Certification: DP-100 Designing and implementing a data science solution on...

In this exam preparation module, learn effective preparation strategies for the certification exam, including sample questions and study tips.

Practice Test

Take this assessment to validate your skills gathered from the self-paced online learning course completed in this course to mark your completion.

Live Support, Next Steps and Feedback

If you have further questions or need additional support, this module provides everything you need to know.

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