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Course Description

In this foundations course, you will learn the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML). From the basics to more advanced techniques, you will learn to identify opportunities for AI. You will explore how to clearly define ML/AI problems and use data science techniques to analyze and solve business problems. Focusing on tabular data, you'll build supervised and learning solutions while exploring the modelling process which includes how to build classification and evaluate classification models.

Learner Outcomes

Upon completing this course, you'll be able t evaluate data for a use case through data science techniques, which includes:
  • evaluate data for a use case through data science techniques
  • outline the steps of the modelling process and aspects of data science that can be used to solve a problem and create value for an organization
  • analyze and prepare data for modelling through data wrangling and preprocessing
  • build classification models used to solve problems for an organization.

Earn a Micro-Credential

“Micro-credential
This course qualifies for the SAITMicro badge. Students who successfully complete this course with a final grade of A- (80%) or higher will earn a micro-credential and receive a shareable digital badge. Learn more.

Applies Towards the Following Certificates

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Enrol Now - Select a section to enrol in
Section Title
Introduction to Machine Learning Citizen Development
Type
Lecture - Online Synchronous
Days
Th
Time
6:00PM to 7:00PM
Dates
Jan 18, 2024 to Feb 22, 2024
Schedule and Location
View Details
Contact Hours
30.0
Delivery Options
Virtual  
Course Fee(s)
Tuition non-credit $1,035.00
Drop Request Deadline
Oct 02, 2023 to Jan 24, 2024
Transfer Request Deadline
Oct 02, 2023 to Jan 24, 2024
Withdrawal Request Deadline
Jan 25, 2024 to Feb 08, 2024
Section Notes

Prerequisites:
There are no prerequisites for this course.

Schedule: 

Participants will complete 24 hours of online, independent study supplemented with 6 hours of live virtual learning sessions with the instructor and other students. These virtual sessions are mandatory and will be delivered using Zoom & Brightspace/D2L and are interactive. Zoom sessions will be held on Mondays & Wednesdays starting January 18 and ending February 22, 2024, from 6:00 pm - 7:00 pm.

We encourage you to use your webcam and microphone to contribute to a more collaborative learning experience.

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