Program Overview

Developing Machine Learning Solutions

The University of Manitoba offers a course in Developing Machine Learning Solutions, which focuses on the major stages of machine learning product development. This includes data collection, data preparation, development, model construction, model deployment, and model evaluation.

Course Details

• The course consists of 24 contact hours.
• It is offered in an online format.
• The course fee is $600.30, although pricing is subject to change without notice.

Learning Outcomes

Upon completion of this course, participants should be able to:

• Understand product development methodologies and apply them to machine learning projects.
• Investigate how design thinking and an Agile mindset can accelerate machine learning projects in real-world contexts.
• Understand the end-to-end process of building machine learning models by posing the right questions to create an effective software development life cycle.
• Explore how AI can reshape business, economies, and society as a whole, as well as conceive of implications and opportunities that could result from such dramatic change.
• Investigate the professional opportunities that may result from AI's transformation of businesses, the economy, and society as a whole.

Part of the Following Program

• Micro-Certificate in Artificial Intelligence: Machine Learning Solutions This micro-certificate is designed to teach participants how Artificial Intelligence and Machine Learning can solve important challenges in their business or organization and fuel their career. It explores the possibilities and how to apply them, offered entirely online, with no coding required.

Related Courses

• Machine Learning Algorithms and Frameworks
• Introduction to Artificial Intelligence and Machine Learning

These courses complement the Developing Machine Learning Solutions course by providing a deeper dive into specific aspects of machine learning and artificial intelligence, enhancing the participant's understanding and skills in these areas.