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Course

Working with AI

Check Upcoming Dates
Course code
CEAI 1004
Duration
30 hours
What does the day-to-day of an AI professional look like? In this course, you will experience the typical AI workflow by participating in an AI project. From the problem definition stage to model training and evaluation, you will wear the hat of a data scientist and develop an end-to-end machine learning project using a user-friendly no-code software. This process will help you understand the risks and limitations of AI models and teach you how to mitigate them. Finally, you will learn about state-of-the-art AI applications and how they are used in the industry.

This course focuses on experiential learning. You will explore how to use a no-code software, train a model, improve training data through feature engineering, and test the performance of your model.

This is an online, synchronous course.

We recommend taking the AI Foundations (CEAI 1001) and Responsible AI (CEAI 1002) before taking this course.

Upcoming date(s)

Term
Section
mode
Fees

January 16 – March 20, 2025
Th 18:00 – 21:00
Winter
1
Online
$800.00
Term
Winter
Section
1
mode
Online
Fees
$800.00

April 3 – June 5, 2025
Th 18:00 – 21:00
Spring
1
Online
$800.00
Term
Spring
Section
1
mode
Online
Fees
$800.00

Your takeaways

This course is a great way to help you:
• Manipulate data for an AI project
• Communicate with data in an easy-to-understand visual format
• Manage a simple end-to-end AI project using a no-code software
• Explore emerging techniques in machine learning and AI

Our approach

This fully online course employs a project-based approach that focuses on the acquisition of practical real-world skills in AI. You will learn directly from industry professionals and receive individualized feedback. You will have the opportunity to go beyond AI theory by actively participating in assignments aimed at using AI for problem-solving.

Who benefits the most?

• Tech enthusiasts who want to add AI to their skillset
• Managers who want to better support their technical AI employees or who may be involved in AI projects
• Employees in different industries who want to learn how AI solutions can help solve problems or want to contribute to their organization’s AI projects more meaningfully
• Students who want to prepare themselves for an AI workforce or explore AI as a potential career path
• Anyone who wants to begin experimenting with AI
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