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Overview
Program Learning Outcomes
Upon completion of this Developing Machine Learning Solutions course from University of Manitoba, you should be able to:
- understand product development methodologies and apply them to ML projects
- investigate how design thinking and an Agile mindset can accelerate ML projects in real-world contexts
- understand the end-to-end process of building ML 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 in such dramatic change
- investigate the professional opportunities that may result from AI’s transformation of businesses, the economy, and society as a whole
Programme Structure
The program focuses on:
- data collection
- data preparation
- development
- model construction
- model deployment
- model evaluation
- how AI is transforming business, the economy, and society as a whole
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
Credits
2 alternative credits
Delivered
Online
Disciplines
Artificial Intelligence Machine Learning View 27 other Short Courses in Artificial Intelligence in CanadaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Grade 12 diploma or equivalent, or mature student status. If primary language is not English, proof of English proficiency is required.
Tuition Fee
To always see correct tuition fees
-
International
550 CAD/fullTuition FeeBased on the tuition of 550 CAD for the full programme during 1 months. -
National
550 CAD/fullTuition FeeBased on the tuition of 550 CAD for the full programme during 1 months.
Funding
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