Post-Degree Diploma in Artificial Intelligence

The University Of Winnipeg - Professional, Applied And Continuing Education (PACE)

Canada,Manitoba

 2 Shortlist

12 Months

Duration

CAD 19,850/year

Tuition Fee

CAD 150

Application Fee

Apply Date

Canada, Manitoba

Type: University

Location Type: Urban

Founded: 1972

Total Students: 9,684 +

Int. Students: 1,250 +

Campus Detail

Main Campus Address

460 Portage Ave, Winnipeg, MB R3C 0E8, Canada

Post-Degree Diploma in Artificial Intelligence

Program Overview

Be on the cutting edge of innovation with a diploma in AI and machine learning. Artificial intelligence and machine learning is a branch of data science growing at full speed. We see the application of artificial intelligence in our daily lives, from checking the weather forecast to social media feeds, from banking and finance to healthcare, amongst others.

In this program, graduates master the skills to create and use problem-solving algorithms to provide insights, predictions, and operationalization strategies needed to transform any organization into an innovative, efficient, and sustainable company of the future.

OBJECTIVES & OUTCOMES
The use of artificial intelligence is common place on devices ranging from personal smartphones to large industrial equipment. From simple algorithms to complex decision making, this program ensures that graduates have a firm, applied knowledge of artificial intelligence and machine learning.  While the curriculum and learning outcomes include establishing a general understanding of the theories underlying AI, greater emphasis is placed on the application of these techniques in a practical setting.

Successful graduates of this program shall be able to:

  • Design and implement data acquisition, management, and cleansing solutions to support data science applications;
  • Use statistical techniques in the development of data science applications;
  • Describe legal, ethical, and societal considerations arising from the application of data science and artificial intelligence;
  • Identify suitable applications and recommend the use of AI within an organization;
  • Design the overall solution architecture required to support AI; and
  • Design, test, and implement applied AI solutions.