Artificial Intelligence - Architecture, Design, and Implementation
| Study location | Canada, Ontario, Barrie |
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| Type | Graduate Certificate, College |
| Nominal duration | 1 year/ 2 semesters |
| Study language | English |
| Course code | AIDI |
| Tuition fee | CA$18,650 per year The fees are for the 2024–2025 academic year and include tuition (CA$15,838), health insurance and ancillary charges. The fees displayed are estimates only for two semesters and are subject to change. |
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| Registration fee | CA$400 one-time The registration fee includes the non-refundable application fee (CA$100) and the refundable deposit fee (CA$300). Please REVIEW the EdviseCanada`s fee policy. |
| Entry qualification | Undergraduate Diploma (or higher) To be eligible for admission, you must possess:
Note: Applicants may be asked to submit a current resume and a letter of interest to the Program Coordinator in order to assess their prior academic and experiential learning. The entry qualification documents are accepted in the following languages: English. |
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| Language requirements | English If English is not your first language and/or you are coming from countries where English is not an official language, you should provide evidence of your English language proficiency through one of the language tests below:
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| More information |
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Overview
Become an expert in one of today’s fastest-growing and transformational technologies. Solve complex AI challenges and power next-generation businesses through machine intelligence.
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.
Career opportunities
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.