4.2 Read 25 reviews
Overview
What you will study
Artificial Intelligence is no longer the exclusive domain of researchers and scientists at higher-end institutions. Advances in computer hardware and processing power have made it possible for organizations to apply some elements of AI, such as machine learning, to day-to-day business problems.
Learners will complete the Using Machine Learning for Competitive Advantage course offered by Athabasca University with the necessary knowledge to identify the types of business problems where machine learning tools can provide practical solutions. We’ll explore the different requirements and steps to start a Machine Learning initiative, including key terminology, data requirements, common pitfalls, and team composition.
Programme Structure
The program focuses on:
- Understand the basics of artificial intelligence (AI) and machine learning (ML)
- The role of Alberta and Canada driving the research forward
- Describe the types of business problems and questions that can and can’t be solved using Machine Learning
- Identify the importance of using clear questions and data to solve problems using Machine Learning
- Articulate the basics of a business model to use machine learning for competitive advantage within your organization
Key information
Duration
- Part-time
- 3 months
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
- On-Demand
Language
English
Delivered
Online
- Self-paced
Disciplines
Machine Learning View 14 other Short Courses in Machine Learning in CanadaWhat students do after studying
Join for free or log in to access our complete career info list.
Academic 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
- Managers/leaders who need to identify if new technology advances, such as machine learning, will have an impact on their market conditions
- Managers/leaders that have familiarity with IT and digital technology, including a grasp of concepts such as software development, algorithms, and databases
- Managers/leaders who are working directly with machine learning and data science teams, directly within their organizations or indirectly through external vendors
- Organizations that want to understand how advances in machine learning will impact their business
Tuition Fee
To always see correct tuition fees
-
International
600 CAD/fullTuition FeeBased on the tuition of 600 CAD for the full programme during 3 months. -
National
600 CAD/fullTuition FeeBased on the tuition of 600 CAD for the full programme during 3 months.
Funding
Improve page content