Microsoft Certified: Azure Data Scientist Associate (DP-100)

End-to-end machine learning on Azure ML — building, tuning, and deploying scikit-learn pipelines with MLflow tracking and production monitoring.

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Skills covered

• Designing and creating a working environment for data science workloads on Azure Machine Learning
• Exploring data and engineering features for ML
• Training, tuning, and selecting models with Python, scikit-learn, and Azure ML SDK / CLI v2
• Building ML pipelines and orchestrating jobs end-to-end
• Tracking experiments with MLflow and the Azure ML tracking server
• Deploying models to managed endpoints (real-time and batch) and consuming them from production
• Monitoring models for performance and drift in production
• Applying Responsible AI practices (fairness, explainability, error analysis)

Issued

Microsoft — 2025-12-04