DP-100 : Training Overview

Azure Data Scientist Associate training prepares you to design, build, and deploy machine learning solutions using Microsoft Azure. Learn to manage data workflows, train models with Azure Machine Learning, and operationalize ML using pipelines, AutoML, and SDK v2. Ideal for data professionals looking to scale AI solutions in the cloud and earn Microsoft’s industry-recognized DP-100 certification.

Why DP-100?

• Industry-recognized certification from Microsoft

• Automate and deploy ML solutions with Azure Machine Learning

• Gain hands-on experience with SDK v2, MLflow, AutoML, and more

• Learn Responsible AI and model governance practices

• Opens doors to data science, AI, and MLOps career paths

What You Will Learn

• Set up and configure Azure ML workspace, compute, and datastores

• Perform data prep and exploration using notebooks and SDK v2

• Use AutoML to train classification, regression, and NLP models

• Build and manage pipelines for training and batch scoring

• Deploy models to online endpoints and monitor them in production

• Track experiments and manage model versions using MLflow

• Apply Responsible AI principles (fairness, transparency, privacy)

• Automate workflows using CI/CD with Azure DevOps and GitHub Actions

Prerequisites

• Basic Python programming and libraries like pandas, scikit-learn, matplotlib

• Familiarity with machine learning workflows and model training

• Experience with version control (Git) and Jupyter notebooks

• Optional but helpful: prior knowledge of cloud services or Azure fundamentals