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
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