Artificial Intelligence Leadership and Management

Program: LIAI
Credential: Ontario College Graduate Certificate
Delivery: Full-time + Part-time
Length: 2 Semesters
Duration: 1 Year
Effective: Fall 2024, Winter 2025
Location: Barrie


Artificial intelligence has the extraordinary power to transform industry operations, customer experience, as well as product and service design. The opportunity to implement artificial intelligence cuts across every sector.

Harnessing the potential of artificial intelligence for competitive performance requires a new type of professional. One who not only understands the capacity of the science, but has the expertise to apply it to organizational needs and strategies, and the leadership skills to navigate through the ethical, economic and societal implications of artificial intelligence implementation. 

Career Opportunities

The program gives students the opportunity to acquire deeper knowledge and skills in the field of artificial intelligence. This is a relatively new area of practice that is expected to provide ample employment opportunities for program graduates in various and inter-disciplinary positions in many industries such as Marketing, Finance, Human Resources, and so on.

The program will allow students to gain a more in-depth understanding of the impact of Artificial Intelligence on the different work areas of any size business.

Graduates of the program should be able to:

  1. Hold managerial positions in industries in the private and public sectors.
  2. Become entrepreneurs and establish their own enterprises in the field of artificial intelligence.
  3. Continue studying towards a Bachelor degree.

Program Learning Outcomes

The graduate has reliably demonstrated the ability to:

  1. implement business strategies that translate an artificial intelligence organization’s vision into operational plans;
  2. interpret and apply financial information to determine risk, cost-benefit and liability of projects and operations within the artificial intelligence industry;
  3. demonstrate the ability to lead a team using best practices in managing organizations that employ artificial intelligence;

  4. analyze business data to inform strategies that improve customer relationships and promote lean operations;

  5. identify and present innovative solutions that help individuals and organizations become more agile and effective during change initiatives;

  6. develop and implement training opportunities to create and maintain high performance local and virtual work teams;

  7. apply decision-making and problem-solving techniques to translate business policy and standard operating procedures into best practice solutions;

  8. enhance active listening, written, oral and presentation skills in order to promote effective communication within an organization;

  9. identify and apply discipline-specific practices that contribute to the local and global community through social responsibility, economic commitment and environmental stewardship;

  10. apply effective leadership strategies in the workplace to support and refine the organizational vision and values statement;

  11. interpret and apply financial information to determine risk, cost-benefit and liability of projects and operations;

  12. consider the ethical implications and risks to the economy and the society of implementing artificial intelligence into organizational processes;

  13. employ innovative strategies through systems design thinking and the ideation process to further explore and develop opportunities;

  14. apply principles of corporate sustainability, corporate social responsibility, and ethical conduct to support an organization's business initiatives;

  15. perform work in compliance with relevant statutes, regulations, and business practices.

Program Progression

The following reflects the planned progression for full-time offerings of the program.

Fall Intake

  • Sem 1: Fall 2024
  • Sem 2: Winter 2025

Winter Intake

  • Sem 1: Winter 2025
  • Sem 2: Summer 2025

Admission Requirements

  • Ontario College Diploma, Ontario College Advanced Diploma, Degree, or equivalent; education or experience in a business setting is desirable.

Graduation Requirements

12 Program Courses

Graduation Eligibility

To graduate from this program, a student must attain a minimum of 60% or a letter grade of P (Pass) or S (Satisfactory) in each course in each semester. The passing weighted average for promotion through each semester and to graduate is 60%.

Program Tracking

The following reflects the planned course sequence for full-time offerings of the Fall intake of the program. Where more  than one intake is offered  contact the program co-ordinator for the program tracking.

Plan of Study Grid
Semester 1Hours
Program Courses  
LIAI 1000 Agile Project Management for AI 56
LIAI 1001 Artificial Intelligence Strategy and Change 56
LIAI 1002 AI Ethics and Policy 56
LIAI 1003 Analytical Decision Making 56
LIAI 1004 AI Innovation and Entrepreneurship 56
LIAI 1005 Reinforcement Learning and Application 56
Semester 2
Program Courses  
LIAI 1006 Artificial Intelligence in Marketing 56
LIAI 1007 AI in Finance 56
LIAI 1008 Natural Language Processing (NLP) 56
LIAI 1009 Deep Learning 56
LIAI 1010 Machine Learning 56
LIAI 1011 Leadership in Artificial Intelligence Project 56
 Total Hours672

Graduation Window

Students unable to adhere to the program duration of one year (as stated above) may take a maximum of two years to complete their credential. After this time, students must be re-admitted into the program, and follow the curriculum in place at the time of re-admission.

Disclaimer: The information in this document is correct at the time of publication. Academic content of programs and courses is revised on an ongoing basis to ensure relevance to changing educational objectives and employment market needs. 

Program outlines may be subject to change in response to emerging situations, in order to facilitate student achievement of the learning outcomes required for graduation. Components such as courses, progression, coop work terms, placements, internships and other requirements may be delivered differently than published.

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