Warning
This certification, related exam, and renewal assessments will retire on June 1, 2026. You will no longer be able to earn or renew this certification after this date. Learn more.
As a candidate for this certification, you should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure. Additionally, you should have knowledge of optimizing language models for AI applications using Azure AI.
Your responsibilities for this role include:
- Designing and creating a suitable working environment for data science workloads.
- Exploring data.
- Training machine learning models.
- Implementing pipelines.
- Running jobs to prepare for production.
- Managing, deploying, and monitoring scalable machine learning solutions.
- Using language models for building AI applications.
As a candidate for this certification, you should have knowledge and experience in data science by using:
- Azure Machine Learning
- MLflow
- Azure AI services, including Azure AI Search
- Azure AI Foundry
Important
Azure AI Foundry is now Microsoft Foundry. We are in the process of updating the exam and all associated materials.