Artificial Intelligence for Teaching and Learning
Overview
The Artificial Intelligence in Teaching and Learning Certificate program at Ontario Tech University is designed for educators and professionals who want to integrate artificial intelligence into educational settings. This program provides a comprehensive understanding of AI's role, ethical implications, and practical applications in education and training. Participants will gain hands-on experience through projects and case studies, equipping them with the skills to implement AI effectively in their work.
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Gain access to a free Leadership and Interpersonal Skills Micro-credential badge with your enrollment*. Complete your micro-credential online and share your badge on professional networks, or add to your resume, to showcase your learning to employers.
*Enrollment in the full program comes with a Level 2 badge. Enrollment in an individual course comes with a Level 1 badge.
About your instructors
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Who should attend
This AI Program is designed for education and training professionals in all areas.
What I gained was not only technical knowledge, but also actionable tools that advanced the methodology of my dissertation.
Winter 2025 Learner AI for Teaching and Learning
Winter 2025 (Anonymous)
As I complete the final course in the Artificial Intelligence for Teaching and Learning Program, I reflect with gratitude and enthusiasm on an experience that has far exceeded my expectations. With a master’s degree in Learning Design and Technology and as a current doctoral candidate in the Global Doctor of Business Administration (DBA)program at the Swiss School of Business Management, I approached this program with a clear research focus and high hopes. What I gained was not only technical knowledge, but also actionable tools that advanced the methodology of my dissertation.
These four courses built upon a strong academic foundation I had previously developed through the Ivey Academy’s AI Leadership program and the Harvard/EdX Data Science Professional Certificate. While those provided a robust theoretical framework, it was Ontario Tech that delivered the “how”—the practical implementation of Artificial Intelligence in real-world learning environments.
Two courses in particular—AI-Based Learning Technology and AI and Writing, both taught by Joycelyn Kelly—proved transformative. These courses guided me through the design and deployment of Analytical, Explainable, and Predictive AI applications, offering me a way forward in a research journey where the “will” was present, but the “way” remained elusive.
The hands-on capstone projects became turning points. I created two suites of educational chatbots and developed my own web scraping engine to investigate the AI-readiness of the world’s Top 10 AI universities. I will adapt the same model to benchmark Ontario’s 24 public community colleges using my custom-built G-PLANET-X framework. The work integrates natural language processing, data science techniques, Lean Six Sigma metrics, and Agile Extreme Programming—all grounded in academic integrity and designed for transparency and scalability.
The project not only fulfilled academic requirements but also demonstrated the practical value of AI in higher education governance and instructional innovation. This program has been instrumental in making my research vision a reality. It did not just teach me about AI in teaching and learning—it empowered me to become a creator and contributor to this evolving field.
Micro-credentials
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AI-based Learning Technologies
This course introduces different AI-based learning technologies that are currently used in corporate training, such as chatbots, virtual assistants and gamification. It also examines the benefits and limitations of these technologies and explores the ways in which more general AI could be used to perform these functions.
Participant
I just wanted to say thank you for the AI-based Learning Technologies course. As an elementary teacher looking to transition out of the classroom, I found the course super insightful and helpful. Your enthusiasm and knowledge really stood out, and I appreciate how engaging and accessible you made the content. I can't wait to explore more about AI in education.
Artificial Intelligence for Teaching and Learning (2025)Fall 2026 Schedule
Wednesday, September 23, 2026 6 to 8 p.m. ET Wednesday, September 30, 2026 6 to 8 p.m. ET Wednesday, October 7, 2026 6 to 8 p.m. ET Winter 2027 Schedule
Wednesday, March 31, 2027 6 to 8 p.m. ET Wednesday, April 7, 2027 6 to 8 p.m. ET Wednesday, April 14, 2027 6 to 8 p.m. ET -
Ethical and Social Issues in the use of AI in Teaching and Learning
This course would have learners explore the ethical and social implications of using AI in support of teaching and learning. It will include such topics as data privacy, biases in algorithms, AI "hallucinations", the effects of manipulating input to the AI, and the possibility of negative social and economic impacts of AI use.
Fall 2026 Schedule
Wednesday, October 14, 2026 6 to 8 p.m. ET Wednesday, October 21, 2026 6 to 8 p.m. ET Wednesday, October 28, 2026 6 to 8 p.m. ET Winter 2027 Schedule
Wednesday, February 17, 2027 6 to 8 p.m. ET Wednesday, February 24, 2027 6 to 8 p.m. ET Wednesday, March 3, 2027 6 to 8 p.m. ET -
AI and Writing
This module considers the ways in which AI can support the writing process through each of the following four stages: generating ideas/content, organizing the ideas/content, composing the document, and revising the document. Participants will also learn how to use AI to explore writing for different audiences and purposes.
Fall 2026 Schedule
Wednesday, November 4, 2026 6 to 8 p.m. ET Wednesday, November 11, 2026 6 to 8 p.m. ET Wednesday, November 18, 2026 6 to 8 p.m. ET Winter 2027 Schedule
View this micro-credentialWednesday, March 10, 2027 6 to 8 p.m. ET Wednesday, March 17, 2027 6 to 8 p.m. ET Wednesday, March 24, 2027 6 to 8 p.m. ET -
AI in Simulation Based Learning
In simulation-based learning (SBL), Artificial Intelligence (AI) programs are often used to generate and control simulation environments. For example, AI may be used to develop learning environments tailored to the background information or past performance of learners. In this course, students will explore the relationships among AI, simulation fidelity, cost effectiveness and skills transfer effectiveness in SBL.
Fall 2026 Schedule
Wednesday, November 25, 2026 6 to 8 p.m. ET Wednesday, December 2, 2026 6 to 8 p.m. ET Wednesday, December 9, 2026 6 to 8 p.m. ET Winter 2027 Schedule
View this micro-credentialWednesday, January 27, 2027 6 to 8 p.m. ET Wednesday, February 3, 2027 6 to 8 p.m. ET Wednesday, February 10, 2027 6 to 8 p.m. ET
Program Information
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Fees and registration
Fees
Full Program: $1,199.00 (INC HST)
Individual Course: $349.00 (INC HST)Registration
You can register for this course through the secure online registration form. All course fees must be paid at the time of registration.
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Fall 2026 Schedule
Course Title Date and Time AI-based Learning Technologies
Wednesdays - September 23, 30 and October 7
6:00 - 8:00 pm ET
Ethical and Social Issues of AI in Teaching and Learning
Wednesdays - October 14, 21 and 28
6:00 - 8:00 pm ET
AI and Writing
Wednesdays - November 4, 11 and 18
6:00 - 8:00 pm ET
AI in Simulation Based Learning
Wednesdays - November 25, December 2 and 9
6:00 - 8:00 pm ET
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Winter 2027 Schedule
Course Title Date and Time AI and Simulation Based Learning
Wednesdays - January 27, February 3 and 10
6:00 - 8:00 pm ET
Ethical and Social Issues of AI in Teaching and Learning
Wednesdays - February 17, 24 and March 3
6:00 - 8:00 pm ET
AI and Writing
Wednesdays - March 10, 17 and 24
6:00 - 8:00 pm ET
AI-based Learning Technologies
Wednesdays - March 31, April 7 and 14
6:00 - 8:00 pm ET
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OSAP for micro-credentials
OSAP for Micro-credentials is available for eligible students taking a ministry-approved micro-credential that is less than 12 weeks. To be eligible for OSAP for Micro-credentials, a student must be a Canadian citizen, a permanent resident, or a protected person; and, be a resident of Ontario. A step-by-step guide on how to apply for OSAP for Micro-credentials is available here.
For more information please visit the OSAP website at www.ontario.ca/OSAP.
Frequently Asked Questions
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What is the AI for Teaching and Learning program about?
This certificate program helps educators and training professionals understand how artificial intelligence can be used to enhance teaching and learning. It covers practical tools, ethical considerations, and real-world applications - making it ideal for those new to AI or looking to deepen their knowledge.
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Do I need a technical background to join?
Not at all! The program is designed for educators and professionals from all backgrounds. You don’t need coding skills or prior AI experience—just curiosity and a willingness to explore how AI can support learning.
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I am not a teacher or educator, could I still join this program?
While this program is designed for educators, and the instructors all have education backgrounds, admission is open to individuals from all sectors. Students are invited to apply the principles they are learning to whatever their professional setting is. This is done in the belief that applying the principles to your work will make the learning more meaningful and impactful. It also means that discussion forums are enriched by the diversity of experiences.
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What is the time commitment? Is there a final test/exam?
While this will vary based on individual, we recommend reserving a minimum of 3-4 hours per week, outside of the scheduled class time, for course work. In each of the courses there is a discussion board that students are expected to contribute to. Additionally, there is a capstone project that will requires you to write a short paper. There is no final test/exam.
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What kinds of AI tools will I learn about?
You’ll explore tools like chatbots, virtual assistants, and AI-powered writing aids. Courses also cover simulation-based learning environments and how AI can personalize education through adaptive technologies.
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How does the program address ethical concerns with AI?
One of the core courses focuses on ethical and social issues, including data privacy, algorithmic bias, and the risks of AI misuse. You’ll learn how to critically evaluate AI tools and use them responsibly in educational settings.
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Can I take individual courses or do I need to complete the full certificate?
You can choose either! Each course offers valuable insights on its own, and courses can be completed in any order. Upon successful completion of all four courses, you will receive a University Certificate.
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How is the learning delivered?
Courses are offered online, with weekly synchronous meeting times from 6 – 8 pm ET. You’ll engage with interactive content, case studies, and hands-on projects that help you apply what you learn in real-world contexts. Please note, attendance at the online synchronous sessions is mandatory for successful completion.
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What kind of support will I get during the program?
You’ll learn from experienced instructors who are passionate about making AI accessible and useful for educators. The program also fosters a supportive learning community where you can share ideas and ask questions freely.
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I still have questions, is there anyone I could contact?
Absolutely! Please email us directly at continuouslearning@ontariotechu.ca if you have any further questions. We would be happy to assist!