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Course Description

Machine Learning Foundation

In this micro-credential course, students will learn about Python commands to create programs that use loops and conditions. Students will be introduced to Python libraries for data analysis, and build a classification-based machine learning application.

This course is delivered in collaboration with RoboGarden.

Course Details

By completion of this microcredential course, students will be able to:

  • Write a Python app
  • Analyze and visualize dataset using Python libraries
  • Build classification-based machine learning application
  • Write an app to distinguish between objects

This micro-credential course is ideal for:

  • Individuals who are interested in exploring a career in artificial intelligence and data science

Topics

  • Introduction to Python
  • Introduction to Data Analysis
  • Classification in Machine Learning

Format of Delivery

Self-paced (Online Asynchronous), with two 1.5-hour live sessions with instructor. The learning platform is powered by RoboGarden.

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Enrol Now - Select a section to enrol in
Section Schedule
Jul 03, 2025 to Jul 31, 2025
Type
Online Synchronous
Days
Th
Time
5:00PM to 6:30PM
Dates
Jul 03, 2025 to Jul 17, 2025
Type
Online Asynchronous
Dates
Jul 03, 2025 to Jul 31, 2025
Schedule and Location
View Details
Hours
12.0
Delivery Options
Online Hybrid  
Course Fees
Fee Before GST non-credit $199.00
Required Software
Jupyter notebook GitHub
Section Notes

Live Session Days: Thursday July 10 and July 24

Hardware requirements:

  • A stable internet connection
  • An operating system (Windows, Mac, or Linux) with a minimum of:
    • Four (4) GB of RAM (eight (8) GB of RAM is recommended)
    • An Intel i5 5th generation processor or AMD equivalent

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

Type
Online Asynchronous
Dates
Sep 04, 2025 to Oct 04, 2025
Hours
12.0
Delivery Options
Online Asynchronous  
Course Fees
Fee Before GST non-credit $199.00
Required Software
Jupyter notebook GitHub
Section Notes

Live Session Days: Thursday Sept 4 and Sept 18

Hardware requirements:

  • A stable internet connection
  • An operating system (Windows, Mac, or Linux) with a minimum of:
    • Four (4) GB of RAM (eight (8) GB of RAM is recommended)
    • An Intel i5 5th generation processor or AMD equivalent

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

Type
Online Asynchronous
Dates
Feb 05, 2026 to Mar 05, 2026
Hours
12.0
Delivery Options
Online Asynchronous  
Course Fees
Fee Before GST non-credit $199.00
Required Software
Jupyter notebook GitHub
Section Notes

Hardware requirements:

  • A stable internet connection
  • An operating system (Windows, Mac, or Linux) with a minimum of:
    • Four (4) GB of RAM (eight (8) GB of RAM is recommended)
    • An Intel i5 5th generation processor or AMD equivalent

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

Type
Online Asynchronous
Dates
May 07, 2026 to Jun 04, 2026
Hours
12.0
Delivery Options
Online Asynchronous  
Course Fees
Fee Before GST non-credit $199.00
Required Software
Jupyter notebook GitHub
Section Notes

Hardware requirements:

  • A stable internet connection
  • An operating system (Windows, Mac, or Linux) with a minimum of:
    • Four (4) GB of RAM (eight (8) GB of RAM is recommended)
    • An Intel i5 5th generation processor or AMD equivalent

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

Type
Online Asynchronous
Dates
Jul 02, 2026 to Jul 30, 2026
Hours
12.0
Delivery Options
Online Asynchronous  
Course Fees
Fee Before GST non-credit $199.00
Required Software
Jupyter notebook GitHub
Section Notes

Hardware requirements:

  • A stable internet connection
  • An operating system (Windows, Mac, or Linux) with a minimum of:
    • Four (4) GB of RAM (eight (8) GB of RAM is recommended)
    • An Intel i5 5th generation processor or AMD equivalent

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

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