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.
Tuition and fees
What are the admission requirements for the Artificial Intelligence program?
Artificial Intelligence – Architecture, Design, and Implementation admission requirements
Ontario College Diploma, Ontario College Advanced Diploma, degree or equivalent with a focus in computer studies, technology, engineering, analytics, mathematics or statistics, or equivalent work experience, is required.
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.
To be successful in this program, students are required to have a Windows-based personal notebook computer prior to the start of the program that meets or exceeds the following hardware specifications:
- Intel I7, AMD A10 processor or better
- 16 GB of RAM
- 1 TB hard drive
- Ethernet Network Card (Can be USB)
- Wireless Network Card
- 2 USB 3.0 ports
What career paths can I take in artificial intelligence?
Your Artificial Intelligence – Architecture, Design, and Implementation graduate certificate gives you many 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.
Magna International Inc.
Magna International Inc. is one of the world’s largest suppliers in the automotive space. It is a global mobility technology company with more than 158,000 employees – including many Georgian graduates! Magna is committed to providing Georgian students with opportunities to further their education and gain new skills.
The $1-million investment in Georgian includes a 2,200-square-foot Magna Mechatronics Lab with 17 pieces of new, cutting-edge equipment, and an award and scholarship suite for both future and current students, each valued up to $2,500.
Magna has provided hands-on learning experiences across various divisions to 133 co-op students since 2010, and is the proud of employer of 210 Georgian grads!
Flex MORE. Study Artificial Intelligence part-time
What courses are included in the Artificial Intelligence graduate certificate program?
14 Program Courses
Semester 1 courses are listed below. For a full list of courses in the program including course descriptions, view the Artificial Intelligence – Architecture, Design, and Implementation program outline.
- AIDI 1000 – Artificial Intelligence Algorithms and Mathematics
- AIDI 1001 – Conversational Artificial Intelligence
- AIDI 1002 – Machine Learning Programming
- AIDI 1003 – Machine Learning Frameworks
- AIDI 1004 – Issues and Challenges in Artificial Intelligence
- AIDI 1005 – Artificial Intelligence for Business Decision Making
- BDAT 1000 – Data Manipulation Techniques
Your course delivery method(s)
This program is delivered via GC Flex, giving you choice and flexibility. Using technology-enabled, purpose-designed learning spaces, professors deliver lectures and labs in the classroom and simultaneously online. You can participate on campus or online during class or review course materials online later.
Please note, delivery methods are based on planning for the upcoming semester and are subject to change.
Check out our other related programs
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