UTMIST Academics
Machine Learning Educator
Artificial Intelligence Python PyTorch Machine Learning

Founded in 2017, UTMIST (University of Toronto Machine Intelligence Student Team) is North America’s largest undergrad machine learning-focused community. As a student-led club, UTMIST exists to inspire, educate, and elevate the next generation of engineers, researchers and leaders in artificial intelligence and machine learning. With 4000+ Instagram followers, 3000+ LinkedIn followers, 2700+ community members on Discord, 150+ active volunteers and executives every year, as well as 500+ developers, UTMIST is one the most influential student societies within the STEM community. We bridge theory and application, hosting various workshops, conferences, and hackathons each year to provide enriching opportunities to students. Signature initiatives like the EigenAI conference, the GenAI Genesis Hackathon and the AI-squared Tournament have brought together thousands of attendees from across the UofT campuses and beyond. We also produce in-house academic content and spearhead design teams to collaborate on innovative projects, including partnerships with industry and contributions to papers published in top-tier conferences. UTMIST encourages students to lead their own research ideas and teams, fostering a culture of innovation where members can take initiative, develop original projects, and make meaningful contributions to the field. Our community is interdisciplinary, with machine learning applications spanning finance, medicine, chemistry, and more. Past UTMIST members have gone on to pursue graduate studies at world-renowned institutions, launch startups, and intern or work full-time at leading tech companies, including Google, Microsoft, Amazon, TikTok, Intel, Tesla and Cohere. We’re a space where beginners are welcomed, experts are challenged, and bold ideas become reality. Whether you're training your first model or building state-of-the-art systems, UTMIST is where you’ll find the people, tools, and inspiration to go further.

1 Course
1 Learners
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