TechMaster - DP-100: Designing and Implementing a Data Science solution on Azure

This course comprises ten purposely designed modules that take you on a carefully defined learning journey.

It is an instructor-led course which runs to a fixed schedule, with set start and finish dates. It is driven forward by your instructor and features live sessions that are aired at a set time. You will, however, have time to complete certain activities at your own pace outside of the live sessions.

The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs and online exams questions.

As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.

Once you have successfully completed the course, you will earn your Certificate of Completion.

You will be able to:

• Manage Azure resources for machine learning.
• Run experiments and train models.
• Deploy and operationalize machine learning solutions.
• Implement responsible machine learning.

• Data scientists.
• Machine learning professionals.
• Professionals who have knowledge about data solutions for Microsoft Azure.
• Individuals who want to understand implementing an Azure Data Solution.
• Professionals who want to pass the DP-100: Designing and Implementing a Data Solution on Azure certification exam.

You must be able to:

• Create cloud resources in Microsoft Azure.
• Use Python to explore and visualize data.
• Train and validate machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
• Work with containers.

This course will help you to prepare for the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam.

It is ideal for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

• It will help you apply your knowledge of data science and machine learning to implementing and running machine learning workloads on Microsoft Azure; in particular, using Azure Machine Learning Service.
• It will also help you to plan and create a suitable working environment for data science workloads on Azure, run data experiments and train predictive models, manage and optimize models, and deploy machine learning models into production.

When you take this course, you will also get information and guidance on the Microsoft certification process, knowledge checks and practice questions, and useful tips on how to pass the exam.