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Program Description

Background: Develop practical skills aligned with current industry practices for building, evaluating, and deploying machine learning (ML) systems.

This microcredential introduces core tools and workflows used in applied ML, with a focus on implementing models, managing experiments, and supporting reliable, reproducible, and ethical ML systems in real-world settings.

Take your foundational data science skills to a new level by strengthening your applied ML competencies to prepare for deployment-oriented and collaborative ML work.

Completion of the Data Science Foundations microcredential, or equivalent experience, is required. Learners are expected to be comfortable with:

  • Unix shell and Git for reproducible workflows
  • Python for data analysis and model implementation
  • SQL for working with structured data
  • Foundational statistical modeling concepts, including linear regression and classification

Cancellation Policy

Participants may withdraw at any time by emailing courses.dsi@utoronto.ca.

Refunds are available only if the request is received at least twenty-five (25) business days before the start date. All refunds are subject to a $75 CAD administrative fee. No refunds will be issued after the deadline. Requests must include the original payment receipt.

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Register Now

Title
Machine Learning Foundations (June 2 - July 10, 2026)
Type
Online, fixed date
Dates
Jun 02, 2026 to Jul 10, 2026
Program Fees
MLF 2026 non-credit $1,199.00
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