The DP-100T01: Designing and Implementing a Data Science Solution on Azure course equips participants with the knowledge and skills to use Azure tools to design and deploy end-to-end machine learning solutions. Through hands-on exercises and real-world scenarios, this course helps professionals leverage Azure Machine Learning and other Azure services to create scalable and efficient data science solutions.

Who Should Enroll Now:
This course is ideal for:

• Data scientists and machine learning engineers.
• IT professionals interested in applying machine learning with Azure.
• Individuals preparing for the Microsoft Certified: Azure Data Scientist Associate certification.

Key Learning Objectives:
Participants will learn to:

• Use Azure Machine Learning to build, train, and deploy machine learning models.
• Create and operationalize machine learning pipelines.
• Implement responsible AI principles for fairness, privacy, and transparency.
• Optimize and monitor models in production environments.
• Work with tools such as Python, Azure Machine Learning SDKs, and Azure Machine Learning Studio.
• Leverage Azure’s scalable compute resources to enhance model training and deployment.

Why Choose This Course?

• Gain hands-on experience with Azure’s data science and AI tools.
• Learn to design scalable, reliable, and responsible AI solutions.
• Build real-world expertise to create and deploy machine learning solutions in Azure.
• Prepare for the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam.

Empower your data science career with DP-100T01 and become a leader in designing innovative AI solutions on Azure