The dynamic and rapidly evolving nature of artificial intelligence (AI) has a significant impact on many aspects of daily life. With a wide variety of application areas — including chatbots, computer vision, autonomous driving, speech recognition, bioinformatics and much more — AI can enable innovation across various engineering disciplines.
This certificate will enable students to apply AI and machine learning (ML) to topics within engineering. Through courses, students will be introduced to the design of intelligent systems, deep learning algorithms and neural networks, while special attention will be paid to fairness and ethics issues surrounding machine learning.
Students interested in a more specialized education have the option of pursuing the Minor in Artificial Intelligence. Note: students may only receive credit on their transcript for one of the following: Certificate in Artificial Intelligence Engineering or Minor in Artificial Intelligence Engineering.
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Eligibility
All undergraduate engineering students — except those in the Engineering Science Machine Intelligence and Robotics majors — are eligible to participate in this certificate.
Enrolment
Students can self-enrol in this program on ACORN (Enrol and Manage tab) using the program code at the top of this page. Students who complete the requirements of the certificate will receive a notation on their transcript upon graduation.
Requirements
The requirements for the Certificate in Artificial Intelligence Engineering in the Faculty of Applied Science and Engineering are the successful completion of the following courses:
- One of:
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- ECE 345H1: Algorithms & Data Structures
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- ECE 358H1: Foundations of Computing
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- CSC 263H1: Data Structures & Analysis
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- MIE 335H1: Algorithms & Numerical Methods
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- MIE245H1: Data Structures & Algorithms
- One of:
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- ROB 311H1: Artificial Intelligence
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- CSC 384H1: Introduction to Artificial Intelligence
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- ECE 421H1: Introduction to Machine Learning
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- CSC 311H1: Introduction to Machine Learning (formerly CSC 411)
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- ROB 313H1: Introduction to Learning from Data
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- MIE 424H1: Optimization in Machine Learning
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- MIE 369H1: Introduction to Artificial Intelligence