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.
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.
As a candidate for this certification, you should have knowledge and experience in data science by using:
- Azure Machine Learning
- MLflow
Important
The English language version of this certification will be updated on October 16, 2024. Review the study guide linked in the Certification resources section for details about upcoming changes.