There are two certification pathways for Microsoft Azure Machine Learning.

The Azure Data Scientist Associate certification candidates should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.

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; and managing, deploying, and monitoring scalable machine learning solutions. A candidate for this certification should have knowledge and experience in data science by using Azure Machine Learning and MLflow.

The Customer Data Platform Specialty certification is for candidates who’s specialty is implementing solutions that provide insight into customer profiles and that track engagement activities to help improve customer our specialty is implementing experiences and increase customer retention, this certification could validate your skills and help open career doors.

As a candidate for this certification, you should have firsthand experience with Dynamics 365 Customer Insights, Power Query, Microsoft Dataverse, Common Data Model, Microsoft Power Platform and one or more additional Dynamics 365 apps. In addition, you need direct experience with practices related to privacy, compliance, consent, security, responsible AI, and data retention policy.

You also need experience with processes related to KPIs, data retention, validation, visualization, preparation, matching, fragmentation, segmentation, and enhancement. You should have a general understanding of Azure Machine Learning, Azure Synapse Analytics, and Azure Data Factory.