Machine Learning (Live Online)

  • Formats:

    Live Online

  • Duration:

    30 hours

  • Registration Fee:


Start Date

Live Online

Part Time: September 29, 2020 – December 01, 2020

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Program Overview

Live Online Info Session

Live Online Info Session

Presented By Huang Chengliang

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This course will explore the concepts of Machine Learning (ML) and understand how it’s transforming the digital world. Students will recognize how to enable computers to learn and adapt through experience to do specific tasks without explicit programming.

Course Prerequisites

None, however, knowledge of logic and any programming language is an asset, but not required.

Topics/Learning Objectives

Upon completion of this program the successful student will have reliably demonstrated the ability to:

  • Select and justify the appropriate ML approach for a given business problem
  • Identify appropriate cloud services to implement ML solutions
  • Master the concepts of supervised and unsupervised learning, recommendation engine, and time series modeling
  • Implement models such as support vector machines
  • Gain a comprehensive understanding of how machine learning works to bring a technical perspective to the workplace.
  • Validate machine learning models and decode various accuracy metrics
  • Understand uses of machine learning in business


Program Organization # of Hours*
Lesson 1: Introduction to Artificial Intelligence and Machine Learning 3
Lesson 2: Data Preparation and Pre-processing 3
Lesson 3: Supervised Learning and Unsupervised Learning 3
Lesson 4: Feature Engineering 3
Lesson 5: Neural Networks 3
Lesson 6: Time Series Modelling 3
Lesson 7: Ensemble Learning 3
Lesson 8: Text Mining 3
Lesson 9: Cloud Machine Learning (Azure, AWS) 3
Lesson 10: Recommended Systems 3

Who Will Benefit From The Program

This course is beneficial for Information architects who want to gain expertise in Machine Learning, recent graduates who are looking to build a career in Machine Learning, or anyone who wants to learn about Machine Learning to help make data-driven business decisions.

Technical Requirements

Live Online Students

Ashton College uses web conferencing tools (Zoom for Education) to help instructors and students connect and collaborate live online. Students should have access to a computer, laptop or smartphone to access the class sessions. To be able to participate in webinars, students need a webcam and headset, or a microphone and headphones, along with a high-speed internet connection.


Live Online

Part Time:

September 29, 2020 – December 01, 2020

  • Students must devote at least 3 hours per week to attend live webinars.
  • Webinars will be held on Tuesdays from 4:00 to 7:00 pm PST.
  • Outside of live instructional periods, students will be expected to take part in various independent and/or group activities.


Registration fee for this course is $890.

No textbooks required. Instructor may provide additional online resources. 


This program does not require approval by the Private Training Institutions Branch of the Ministry of Advanced Education, Skills & Training. As such, it was not reviewed.

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