Microsoft Future Ready: Principles of Machine Learning with Python Programming

This course is part the Ethics Laws & Implementing an AI Solution in Microsoft Azure ExpertTrack. It will help you understand AI ethics and laws, and develop advanced AI skills.

This course will teach you the theory and practice building, validating, and deploying machine-learning models.

Additionally, you'll explore Python and Azure Notebooks. These powerful tools will help you build and deduce insights.

Learn the basics of machine learning and AI theory

This course will help you understand the theories and concepts that underlie AI technology. This course will teach you the fundamental principles of machine learning including unsupervised and supervised learning, regression techniques, and how machines behave and learn.

Get practical experience with machine learning models deployment

This course will teach you how to deploy machine learning models and the difference between IT and data science when putting a model into production. This course will expand your knowledge and allow you to understand the role of machine learning in the workplace.

You will get hands-on experience with Azure Notebooks and Python programming

This course will teach you how to evaluate your data before creating algorithms. This course will teach you how to clean and prepare data sets, as well as features engineering techniques.

After learning the theory, you will be able to apply the knowledge in practice.

You will be able to understand basic machine learning concepts and have the opportunity to use powerful tools like Python with the most advanced machine learning algorithms. This knowledge will help you to understand complex data relationships.