Overview

The Artificial Intelligence and Machine Learning (AIM) program at LaSalle College Vancouver is a hands-on diploma that builds a strong foundation in programming, mathematics, and data analysis. Each course combines theory with the tools and techniques that drive today's AI technology, from neural networks to generative models. With a curriculum that evolves alongside the latest advancements in the field, the AIM program prepares you to solve real problems and build the systems shaping tomorrow's industries.

About the Artificial Intelligence Program

The Artificial Intelligence and Machine Learning (AIM) program covers the core principles of computer science, data science, and applied AI through a structured diploma at LaSalle College Vancouver. Students progress from foundational mathematics and programming to advanced machine learning topics, including deep learning, computer vision, and natural language processing. The final quarters focus on generative AI and ML Ops, preparing students to build, deploy, optimize, and manage AI-driven systems in real-world environments.
  • This program/course is not eligible for the Post-Graduation Work Permit (PGWP).  Click here for more information about PGWP and to see our eligible courses.

Opportunities

Hands-On Learning & Real-World Tools

Students in the Artificial Intelligence and Machine Learning program at LaSalle College Vancouver train with the same technology and data science tools used across AI-driven industries. Through project-based learning, simulations, and applied problem-solving, you'll develop the practical skills needed to perform in real AI and machine learning roles from graduation.

Discover the Advantages of Co‑op

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Upcoming Sessions

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Jul 6, 2026

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Jan 3, 2028

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Jul 1, 2028

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Jan 1, 2029

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Admissions Criteria

  • Domestic applicants generally require:

    Proof of secondary school graduation or equivalent

    Copy of government-issued photo ID

  • International applicants generally require:

    Proof of secondary school graduation  (with official English translations)

    Copy of a valid Passport

    Proof of English proficiency

List of Courses

QUARTER 1

  • Introduction to Programming
  • Linear Algebra
  • Data structures & Algorithms
  • Data Visualization
  • Foundations of ML

QUARTER 2

  • Supervised Learning
  • Differential Calculus
  • Probability and statistics
  • Neural Networks
  • Reinforcement Learning

QUARTER 3

  • Unsupervised Learning
  • Natural Language Processing
  • Computer Vision I
  • Model Fine Tuning

QUARTER 4

  • Generative-AI
  • Computer Vision II
  • ML Ops
  • Professional Development
  • Capstone Project
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