DP-100 Data Science on Azure

DP-100 Data Science on Azure is a practical, intermediate-level program focused on designing, building, and deploying machine learning solutions using Microsoft Azure. The course introduces modern cloud-based data science workflows, Azure Machine Learning, and scalable machine learning solution development.

Through guided instruction and hands-on practice, learners work with real-world datasets, build and train machine learning models, and explore Azure data services used in modern AI and analytics environments. The program also covers model deployment, monitoring, and end-to-end machine learning lifecycle management.

• Learn how to design and deploy data science solutions using Microsoft Azure

• Work with Azure Machine Learning and modern Azure data services

• Explore, prepare, and analyze real-world datasets using cloud-based tools

• Build, train, and evaluate machine learning models on Azure

• Deploy scalable machine learning solutions in cloud environments

• Complete an end-to-end Azure data science project aligned with business scenarios

Delivered using OCA’s Skill Sprint™ Method with hands-on practice, real-world exercises, and instructor-led feedback.

The following basic skills are recommended to maximize learning outcomes:

• Basic understanding of data science concepts and data analysis workflows

• Familiarity with Python programming fundamentals

• Experience working with datasets using tools such as Excel, SQL, or Python libraries

• Basic knowledge of statistics and probability concepts

• Comfort using cloud platforms or interest in learning Microsoft Azure services

• Willingness to complete hands-on labs and practical machine learning exercises

By the end of this course, you will be able to:

• Understand the end-to-end data science and machine learning lifecycle on Microsoft Azure

• Build, train, evaluate, and deploy machine learning models using Azure Machine Learning

• Explore, prepare, and analyze datasets using Azure-based data processing tools

• Apply Azure AI and Cognitive Services to real-world business and analytics scenarios

• Design scalable cloud-based machine learning solutions using Azure best practices

• Build a strong foundation for the Microsoft DP-100 Azure Data Scientist certification

After completing the training, learners will be better prepared for roles such as:

• Data Scientist

• Machine Learning Engineer

• Cloud Data Scientist

• Data Science Engineer

• Applied Machine Learning Engineer

• Azure Machine Learning Associate

• AI & Analytics Associate