Microprogram in Applied Artificial Intelligence
Harness the power of Artificial Intelligence to drive innovation and solve real-world problems with the Gina Cody School's Microprogram in Applied Artificial Intelligence. This two-course, 8-credit program, starting in September 2024, is designed for graduate students, alumni, and working professionals with a background in programming, aiming to enhance their AI skills through experiential learning.
Dive deep into essential AI techniques, from statistical learning to advanced deep learning, and apply your knowledge in a project-driven environment that mirrors real industry challenges.
Program highlights
- Ideal for graduate students, alumni, and working professionals aiming to learn and excel in applied AI
- Combination of rigorous academic foundations with hands-on, project-based learning
- Flexible schedule, including in-person lectures and remote project work
- Networking opportunities with AI experts and professionals
- Projects tackling key societal issues such as climate change, health, and sustainable urban environments
- Unique in Quebec for its fully applied and hands-on focus
The program runs over two terms,
beginning in September 2024.
Program overview
Advance your career and expertise in AI over two terms with our Applied AI Microprogram. This program, taught by faculty from the Gina Cody School of Engineering and Computer Science, focuses on applied machine learning and deep learning. Begin with lectures and progress to project-based learning, all while managing your professional commitments.
As AI continues to shape multiple sectors, this program prepares you to be at the forefront of AI applications and innovations.
Program Outcomes
By the end of the microprogram, you will be able to:
- Evaluate and select appropriate AI models for specific projects
- Implement these models using advanced software tools
- Manage AI projects through their entire lifecycle, from concept to completion
- Critically assess and iterate AI project outcomes
Coursework
The microprogram is crafted to provide practical expertise through a hands-on approach, covering the entire lifecycle of an AI project—from planning and design through implementation and evaluation. Each course includes substantial project time supported by expert guidance.
Applied Machine Learning (COMP 6831)
Practical machine learning techniques using Python and scikit-learn, with a focus on project-based learning.
Applied Deep Learning (COMP 6841)
Deep learning applications using PyTorch, covering model architectures and implementation in vision and language processing.
Program requirements
To be eligible for the Microprogram in Applied Artificial Intelligence, applicants must meet the following criteria:
- Educational Background: A bachelor’s degree in computer science, engineering, or a related discipline with a cumulative GPA of 3.00 or higher.
- Programming Skills: Completion of undergraduate courses in computer science (COMP 249 Object-Oriented Programming II or equivalent) and relevant practical experience with programming.
- English Proficiency: Applicants whose primary language is not English must demonstrate sufficient proficiency in English to pursue graduate studies in this field.
The admissions committee will evaluate applicants based on their undergraduate transcripts, additional training, and work experience listed in their CVs.
Tuition fees
The program's tuition and fees vary based on your residency status. Please make sure you check the Microprograms tab in the Graduate degree tuition estimates section.
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