Microsoft Future Ready: Using Python Programming to Explore the Principles of Machine Learning

This course is part the Advanced and Applied AI On Microsoft Azure ExpertTrack. It will help you to develop AI and machine-learning skills, and prepare you for the relevant Microsoft Microcredentials.

This course offers both practical and theoretical experience in machine learning and Python programming.

This data science course will give you a solid understanding of the theory of machine learning. Then, you'll be able to apply your knowledge to build, validate, and deploy machine learning models.

Additionally, you'll learn how to use Azure Notebooks and Python programming to build and deduce insights.

Learn how to use basic machine learning and AI concepts to improve your understanding of complex data relationships.

Learn the theories that drive AI technology and the core principles behind machine learning categories, including regression techniques and how machines behave and learn.

This course will bridge the gap between IT & data science when putting a model into production. It will also teach you how to deploy machine learning models.

This course will help you understand the importance and practical use of Python and Azure Notebooks to analyze data. Once your machine learning models have been deployed, these powerful tools will allow you to gain insights.

You'll learn how you can clean data sets, collect output data, request rates, failure rates, and more using Python and Azure Notebooks.

Microsoft has granted accreditation to this course