The Artificial Intelligence (AI) computing paradigm radically changes the functionality and capabilities of computer systems. This greatly increases the possibilities of what businesses can do with this exciting new technology and is causing disruption across all industry sectors. Artificial Intelligence systems can think, learn and take self-directed action in order to maximize the chance of successfully achieving a goal without having to be explicitly programmed or human intervention.
This program provides students with the necessary background to become Artificial Intelligence (AI) system designers, programmers, implementers, or machine learning analysts. With a strong focus on applied skills, students learn how to design and implement supervised, unsupervised and reinforcement learning solutions for a variety of situations and solve AI challenges for a diverse set of industries.
Advanced study in AI infrastructure, architecture, machine learning frameworks, reinforcement learning, neural networks, vision system, conversational AI and deep learning help students understand how to select, configure and apply the right technology tools to build the correct AI solution to solve a given challenge.
Graduates from this program are prepared to fulfill a wide-range of entry-level roles related to Artificial Intelligence which may include Artificial Intelligence (AI) system designers, programmers, implementers, or machine learning technologists. Graduates could find themselves working independently or as a member of a team to analyze, design, enhance, and maintain AI systems.
Level | Postgraduate Certificate |
Discipline | Engineering |
Duration | 12 months |
Intakes | Jan, May, Sep |
Application Fees | CAD 100 |
Tuition Fees | CAD 15450 |
Campus |
Language proficiency (minimum) | |
IELTS | 6.5 |
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TOEFL | 89 |
PTE | 61 |
Duolingo | 125 |
Exam proficiency (minimum) | |
SAT | Not Required / Waiver |
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ACT | Not Required / Waiver |
GRE | Not Required / Waiver |
GMAT | Not Required / Waiver |
Minimum GPA - 50%
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