Overview
What you will study
This AI Foundations course offered by Concordia University Montréal will help you be able to characterize the types of existing models behind the applications, and analyze the human, data, and technological resources necessary to develop such systems. Last, but certainly not least, this course teaches you the limitations and ethical issues, including biases, that can exist in AI applications and how to detect them. Throughout your studies, you will have an opportunity to see AI in action through use cases that showcase the adoption of AI in several industries. Your challenge will be to explore how you can use AI to help solve problems in your everyday life and in your organization through case studies and other projects. This will help you better understand AI and evaluate the impacts of AI on your daily life. In this course, you won't just learn the basics of AI but actively participate in learning all the different facets that make up AI.
Programme Structure
The program focuses on:
- Examine AI use cases in different contexts
- Identify AI readiness
- Examine the possibilities and limitations of AI
- Determine the requirements and criteria for a successful AI project
- Describe the pitfalls of AI
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
Language
Delivered
Disciplines
Artificial Intelligence View 27 other Short Courses in Artificial Intelligence in CanadaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Leaders with financial, operational, or technological responsibilities who are interested in adopting AI
- 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 initiatives more meaningfully
- Students who want to prepare themselves for an AI workforce or explore AI as a potential career path
- Anyone who wants to learn the fundamentals of AI