Artificial Intelligence Analysis, Design and Implementation

Program Overview:

As Artificial Intelligence (AI) continues to rapidly transform the way organizations and their people work, a shortage of skilled professionals remains the single most significant challenge facing AI adoption by industry. With a focus on enterprise AI, including both off-the-shelf solutions and proprietary AI, this program – the first and only graduate certificate of its kind in Canada – will prepare you to meet this demand for AI-literate practitioners.

As a graduate, you will know how to leverage AI to extract data and use data-driven intelligence to guide decision-making, solving complex enterprise problems with state-of-the-art solutions, all while creating efficiency and quality gains for organizations of all sizes. Additional emphasis is placed on data governance, including data management to ensure its integrity.

Students will also benefit from multiple opportunities for experiential learning, including access to the college’s AI Hub and completion of two diverse capstone projects and an optional work term. Graduates will be prepared to enter this high-growth field, which currently sees the Greater Toronto Area as home to the highest per-capita concentration of AI companies in the world.

Admission Requirements:

• GPA: 2.5 or above

• IELTS: Overall 6.5 with no band lower than 6.0

• PTE: No band below than 60

Tuition Fee: Click Here

Learning Outcomes:

1. Analyze, design, and implement artificial intelligence systems through the application of systematic approaches and methodologies to meet organizational needs.

2. Develop artificial intelligence models and agents that use enterprise data to identify patterns, provide insights, recommend actions, or perform tasks autonomously on behalf of stakeholders.

3. Prepare and communicate analysis, reports, and recommendations, in a variety of formats, for various audiences, stakeholders and purposes.

4. Conduct research, data analysis, model development, and solution deployment in an ethical manner that protects privacy, confidentiality, addresses data bias and transparency, and ensures data integrity.

Career Outlook:

• Data analyst

• AI analyst/technologist

• Machine learning analyst/technologist

• Business transformation consultant

• Business analyst

• Data steward

• Data engineer

Program Intake: January & September

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