Training Level


Training Duration (Days)


Training Mode

(ENG) Physical classroom & Online



  1. This course is designed 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.
  2. Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques. Specifically: Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers.

Career Track


Industry Skill

Accreditation Body

(ENG) Microsoft

Skill Outcome

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


  1. Set up an Azure Machine Learning workspace
  2. Run experiments and train models
  3. Optimize and manage models
  4. Deploy and consume models