Technical

UAlberta & Amii: New AI & ML Courses

We are incredibly excited to announce three new courses on artificial intelligence and machine learning, co-developed by Amii and the University of Alberta Faculty of Extension!

Produced in collaboration between UAlberta’s Faculty of Extension and Amii, this three-course series is ideal for technically-inclined participants who wish to build foundational knowledge in machine intelligence, develop an applied understanding for approaching machine learning projects, and gain an introduction to intermediate and advanced techniques.

Participants can expect to gain a working knowledge around important machine learning areas such as supervised learning, unsupervised learning, neural networks and reinforcement learning.

Prior knowledge of basic programming, linear algebra and statistics is expected. Experience with mathematics, statistics and analytics is strongly recommended. Participants will be expected to have the ability to read and code trace existing code; be comfortable with conditionals, loops, variables, lists, dictionaries and arrays; and should be able to produce “hello world.”

Once all three courses have been successfully completed, an official University of Alberta Notice of Completion will be issued. The courses can also be used towards the Amii Machine Learning Technician Certification program, beginning in September 2019. Students completing the Faculty of Extension series will be grandfathered into the Machine Learning Technician program with a prorated tuition.

Learn more about the individual courses below:

Introduction to Machine Learning and Artificial Intelligence

EXCPE4784

(21 hours)
April 24 – 26, 2019
8:30 a.m.− 5 p.m.
Enterprise Square, Edmonton
$1695

Students will gain an overview of machine learning and artificial intelligence, beginning with discussing supervised learning applied to a classification problem. Students will develop a working knowledge of this type of application, and how it might look in a project from start to finish. Prior knowledge of basic programming, linear algebra and statistics is expected.


Applied Machine Learning

EXCPE4785

(21 hours)
May 22 – 24, 2019
8:30 a.m.− 5 p.m.
Enterprise Square, Edmonton
$1695

This course will begin the discussion of problem definition in machine learning projects, and other issues with data acquisition, cleaning and exploratory data analysis. Students will also discuss unsupervised learning in the context of developing data for successful machine learning modelling. Prior knowledge of basic programming, linear algebra and statistics is expected.


Intermediate Machine Learning Techniques

EXCPE4786

(21 hours)
June 19 – 21, 2019
8:30 a.m.− 5 p.m.
Enterprise Square, Edmonton
$1695

This course continues from the previous, discussing more advanced techniques of machine learning, such as neural networks and support vector machines. Students will also get a brief introduction to reinforcement learning. Prior knowledge of basic programming, linear algebra and statistics is expected.


For more information, please visit the UAlberta Faculty of Extension – AI & ML Courses page: https://www.ualberta.ca/extension/continuing-education/programs/technology/ai