Microsoft Certified

Azure Data Scientist Associate (DP-100)

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

Exam overview

Category Associate
Exam duration 100 minutes
Cost 165 USD
Role Data Scientist
Testing Options Online or Test Center
Languages offered English, Japanese, Chinese (Simplified), Korean, German, Chinese (Traditional), French, Spanish, Portuguese (Brazil), Russian, Arabic (Saudi Arabia), Italian, Indonesian (Indonesia)
What is Microsoft Certified: Azure Developer Associate (AZ-204) Certification Training about?
The Microsoft Certified: Azure Data Scientist Associate training is designed for professionals aiming to apply data science and machine learning techniques to implement and manage machine learning workloads on Azure.

This training encompasses designing and creating suitable environments for data science tasks, exploring and preparing data, training and deploying machine learning models, implementing pipelines, and monitoring scalable AI solutions. Participants will gain hands-on experience with tools such as Azure Machine Learning, MLflow, and Azure AI services
What are the objectives of Microsoft Certified: Azure Data Scientist Associate Certification Training?

At the end of this training, you will be able to:

  • Design and prepare effective machine learning solutions on Azure.
  • Explore data and conduct experiments to derive insights.
  • Train and deploy machine learning models efficiently.
  • Optimize language models for AI applications.
  • Manage, deploy, and monitor scalable machine learning solutions.

Key FAQs to help you get started

A foundational understanding of data science concepts and familiarity with Azure services are recommended to maximize the benefits of this training.

The training offers comprehensive coverage of the exam objectives, including hands-on labs and practice assessments, to ensure participants are well-prepared for the certification exam.

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