Generative AI for Leaders
Overview
Generative AI technologies have the potential to transform businesses and organizations across various industries. However, the adoption of these technologies requires a deep understanding of their potential benefits and risks, as well as the ethical considerations that must be considered.
This program will equip learners with the knowledge and skills necessary to identify potential use cases, understand ethical considerations and prepare teams and organizations for the adoption of Generative AI technologies, implement Generative AI technologies in the workplace, and effectively lead their teams through the change process. In the final module learners will create a comprehensive implementation plan for Generative AI technologies and reflect on their learning journey.
Learners can enrol in the full program or individual modules. If learners are registering for an individual course, thye must be completed one (1) through six (6) in numerical order.
A University certificate will be issued to learners who successfully complete all six (6) modules.
About your instructors
- Asifa Aamir
- Kathleen Pierce
- Steve Prentice
Who should attend?
This certificate program is designed for leaders and managers who are interested in adopting Generative AI technologies in their respective organizations.
- Professionals and those wishing to enhance their skills tool-box;
- Entrepreneurs and business owners;
- Managers and team leads;
- Business leaders who are influencing change.
Courses
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Course 1: Introduction to Generative AI
- Learners will be able to understand the potential applications of Generative AI on businesses and organizations, assess its benefits and risks, and understand ethical and social considerations that must be considered.
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Course 2: Ethical Considerations
- Learners will identify, analyze, and address ethical concerns related to AI in the workplace, utilizing ethical frameworks, identifying and addressing bias in AI algorithms, and developing a plan for incorporating transparency and accountability into an AI system.
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Course 3: Assessing your workplace in preparation for the adoption of Generative AI
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Learners will be able to prepare teams and organizations for the adoption of Generative AI technologies, including change management, and cultural and ethical considerations.
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Course 4: Preparing your organization and team for the AI change
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Learners will be able to effectively implement Generative AI in their workplace by identifying use cases, integrating it into existing workflows, managing data requirements, and testing and evaluating Generative AI models.
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Course 5: Leading through Change in the Adoption of Generative AI Technologies
- Learners will be able to effectively lead their teams and organizations through the adoption of Generative AI technologies, considering change management strategies, cultural considerations, and ethical implications.
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Course 6: Final Project Presentations and Reflection
- Learners will create a comprehensive implementation plan for Generative AI technologies and reflect on their learning journey.
Program information
Fall 2024
| Generative AI for Leaders | Online: Tuesday, November 5 to Thursday, December 12, 2024 | 6 to 9 p.m. |
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| Course Title | Date and Time |
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Module 1: Introduction to Generative AI |
Tuesday, November 5 from 6 p.m. to 9 p.m. Thursday, November 7 from 6 p.m. to 9 p.m. |
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Module 2: Ethical Considerations |
Tuesday, November 12 from 6 p.m. to 9 p.m. Thursday, November 14 from 6 p.m. to 9 p.m. |
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Module 3: Preparing for the Adoption of Generative AI |
Tuesday, November 19 from 6 p.m. to 9 p.m. Thursday, November 21 from 6 p.m. to 9 p.m. |
| Module 4: Implementing Generative AI in the Workplace |
Tuesday, November 26 from 6 p.m. to 9 p.m. Thursday, November 28 from 6 p.m. to 9 p.m. |
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Module 5: Leading through Change in the Adoption of Generative AI Technologies |
Tuesday, December 3 from 6 p.m. to 9 p.m. Thursday, December 5 from 6 p.m. to 9 p.m. |
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Module 6: Final Project Presentations and Reflection |
Tuesday, December 10 from 6 p.m. to 9 p.m. Thursday, December 12 from 6 p.m. to 9 p.m. |
Fall 2024
| Registration fee | Registration status |
|---|---|
| $2049 CAD + HST (early bird) $2249 CAD + HST |
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Discounts
The Alumni/Staff Discount applies to registration in this program/course.
If you are alumni or staff, contact continuouslearning@ontariotechu.ca with your Student/Banner ID before registering for details about how to apply this discount.
Online meeting times
This program has online meeting times. This means you must attend the virtual class at the specified date and time (see the Schedule tab).
Google Meet, Zoom or Kaltura Virtual Classroom (through Catalog) will be used for online delivery of this program to support interaction and engagement.
This course may include, but is not limited to:
- Content presentations and/or videos;
- Hands-on exercises;
- Case discussions and simulations;
- Group and individual work (assignments/quizzes);
- Concept and topic discussions; and
- Topic reflections.
This is an open enrolment course.
Those completing Ontario Tech University Continuous Learning open enrolment offerings (e.g. certificate programs, courses, workshops, microcertifications, etc.) are subject to the policies of Ontario Tech University and Continuous Learning. Ontario Tech policies can be found in the Policy library. Continuous Learning policies can be found in the Regulations section of the Continuous Learning website. Specifically, those completing open enrolment offerings are expected to adhere to the General and Open enrolment regulations.
Requirements
To obtain the University Certificate you must:
- Register and make full payment for the certificate option;
- Attend and successfully complete each required course/element (see the course pages listed in the "Required elements" section above);
- Actively participate in all components of each course; and
- Successfully complete any assigned work
Technology requirements
Video conferencing
Online learning requirements:
- Computer or device with internet access
- Stable internet or data connection
- Microphone
- Webcam*
- Audio device (examples: speakers, headphones/earbuds, headset)
*Webcam is preferred but not required.
Material requirements
There are no additional materials required for this program.
