How It Works
8-12 hours per week
- Understand the basics of artificial intelligence (AI) and machine learning (ML), and 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
Cory is CEO and co-founder of AltaML, a developer of machine learning applications. Previously, Cory was co-founder of Investopedia.com, a financial education site that provided content and tools to help educate individual investors. From its founding in 1999, Investopedia became one of the most popular financial sites on the web and was sold to Forbes Media in 2007. The business model for Investopedia was then replicated through Janalta Interactive Inc., a holding company for digital media properties. Currently, Janalta publishes over a dozen websites.
Cory is past-President of the Edmonton chapter for Entrepreneur’s Organization (EO) and active in the Alberta entrepreneurial community as a member of the A100, the Venture Mentoring Service (VMS) program at the University of Alberta and as an associate for Creative Destruction Labs (CDL) Rockies. He also sits on the Board of Edmonton Global, the economic development corporation for the Edmonton Municipal Region.
Anna Koop is a data scientist for the Alberta Machine Intelligence Institute at the University of Alberta. She is a Ph.D. candidate at the University of Alberta and a sessional instructor at Augustana Campus, University of Alberta. She completed her Master’s in computing science in 2007.
Adriana believes in making life-long learning a fun experience. She studied Computing Science and Artificial Intelligence back in the 90s. Since then, her career has taken different turns requiring constant re-learning of new skills. From AI Programmer, to Video Game Developer, Project Manager, Operations Director, IT Management Consultant and now President at Onlea, a unique eLearning production company. Adriana brings a new take to the application of technology to education, with the vision of replacing the traditional barriers to learning with a new paradigm that is inclusive and learner-centric.
Marcin holds a Ph.D. in Software Engineering and Intelligent Systems from the University of Alberta, Canada, and an MSc in Applied Computing Science from AGH University of Science and Technology, Poland.
He has published over 30 scientific, peer-reviewed publications and has over a decade of practical academic and industry experience with Software Engineering, Machine Learning, Big Data, and Predictive Analytics.
Marcin has a passion for building and growing high performing Data Science teams, and for managing and coordinating Data Science and Big Data products. Currently, he is leading Data Science initiatives at AltaML as VP of Data Science. Marcin is also highly involved in Edmonton’s Data Science community, has co-founded the Edmonton DS meetup, and is teaching Data Science at North Alberta Institute of Technology.
Jonathan Schaeffer is a professor in the Department of Computing Science at the University of Alberta. His research is in the area of artificial intelligence, and he is well known for using games to demonstrate his work. His checkers-playing program Chinook was the first computer to win a human world championship in any game (1994), a feat recognized in the Guinness Book of World Records. He is co-founder of the University of Alberta not-for-profit spin-offs Amii (amii.ca; Alberta Machine Intelligence Institute) and Onlea (onlea.org; creating engaging online learning experiences).
- 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
Is this an instructor-led course?
This course is designed to be self-paced with all materials you need for successful completion contained within the learning platform. The course has been designed by subject matter experts and includes interviews with leading experts, aligned to the course outcomes. The course is an immersive experience that includes a mix of content including video introductions and video content, impactful readings, learning checks, and interactive elements – all which can be completed at your own pace.
How much time will I need to spend?
The course is structured to be completed at your own pace over a two-week period. You will be spending approximately 8 – 12 hours of time per week on content. Should you need more time, the learning environment may be available for 30 days to complete the course.
Do I have to be online at a certain time of day?
No, you do not have to be online at a specific time. You complete the coursework at the times and places that fits your schedule. Each course is designed for working professionals who are balancing their work, family and community commitments.
When do I start?
You can start the course as soon as you register! You will automatically be directed to the interactive learning environment.
How long will I have access to the course?
You will have 30 days from the time of registration to complete the course. It is recommended to complete the course in two weeks.
What is the refund policy?
No refunds will be issued for courses. Refunds may be considered under exceptional circumstances on a case-by-case basis. Please contact email@example.com for more information.
Are there tests or quizzes involved?
There will be activities, assignments, and short quizzes within the course to ensure you understand the content. All quizzes are designed to be accessible and easy to complete by engaging in the course content. Within each module, you will have the answers to each evaluation.
What are the computer requirements for this course?
If you can access the Internet, you can access the course environment. The course environment is compatible with laptops, PCs, tablets and smart phones.
Does this course have prerequisites?
This course does not have a required prerequisite.
Who do I contact if I need help?
You can contact firstname.lastname@example.org for assistance with any questions you may have. We are here to help!