Are you looking to transform your technical foundations into advanced capabilities in artificial intelligence and machine learning? This program prepares you for high-impact roles driving innovation and digital transformation in sectors including healthcare, finance, manufacturing, cybersecurity, retail and smart technologies. The Applied Artificial Intelligence and Machine Learning (AAIML) graduate certificate is a two-term, industry-aligned program for learners with software programming experience who want to become advanced AI practitioners. Level 1 offers hands-on, project-based training in machine learning, deep learning, natural language processing, data visualization and AI-oriented mathematics, supported by real industry practices such as Agile software prototyping and Scrum-based project management using Azure DevOps Boards. |
These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
Admission requirements - Two year, or greater, diploma or degree from an accredited college or university in the field of computer science and/or software engineering OR two to five (2- 5) years of related full-time formal work experience in the field of software development
- Applicants will be ranked based on an assessment of academic performance (grades), length of degree/diploma, level of degree, and/or degree/diploma discipline.
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| Test Scores: | - International English Language Testing System (academic or immigration) or Test of English as a Foreign Language (Internet Based) or Test of English as a Foreign Language (Internet Based) or Pearson Test of English (Academic)
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| Additional Admission Requirements: | Program requirements: - Academic eligibility for a co-op work term is based on the term that occurs two terms prior to any work term. Should a student’s academic performance decline considerably (including cumulative missed courses) during the term just prior to any work term, the college reserves the right to withdraw the student from the upcoming work term.
- Students may only defer one work term regardless of the reason(s) (e.g. failed or missed work term).
- Students who do not successfully complete their deferred work term will be removed from the co-op stream.
- Since only one work term may be failed/deferred regardless of the reason(s), should a subsequent work term be missed/failed/unsecured (not successfully completed for any reason) the student will be immediately removed from the co-op stream.
- Students who are discontinued are not eligible for co-op work terms.
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* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.