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  • Artificial Intelligence Analysis, Design and Implementation (graduate certificate – weekend delivery)

Artificial Intelligence Analysis, Design and Implementation (graduate certificate – weekend delivery)


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Credential
Ontario College Graduate Certificate
Location
Oshawa
OCAS Code
AIFL
Next Intake
September 2023
View all intakes
Faculty
Faculty of Science, Engineering & Information Technology (SEIT)
Length
Two semesters (optional third semester work term)
Laptop
Learn more about laptop requirements
Delivery
More than 50% of this program is delivered in-person. Learn more.
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Come visit us at OPEN HOUSE
Saturday, April 1 Register Now for Open House

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 small and medium-sized enterprises up to the largest of corporations. Additional emphasis will be put 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, 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.

WEEKEND DELIVERY FORMAT

The weekend delivery format is designed and intended for students looking for more flexible opportunities to study full-time and benefit from on-campus learning experiences, without having to attend traditional weekday in-person classes. With weekend delivery, at least half of the classes will be offered in-person on Saturdays and Sundays. Friday evening instruction will be delivered remotely through a combination of real-time (synchronous) and self-directed (asynchronous) learning.

The weekend delivery format will cover the same material as the traditional weekday program. To learn more about the traditional weekday program, visit www.durhamcollege.ca/AIDI.

Intakes and Availability

Date Domestic Availability International Availability
September 2023Open Apply now
January 2024OpenClosedApply now
ProgramHighlights
  • Success Stories
  • Resources
  • Success Stories
  • Resources
Durham College announces new weekend delivery for business and PSW programs
Graduate Fair showcases DC’s specialized graduate certificate programs
Durham College continues to lead the way as 2019-2020 academic year begins
Durham College 2023 Viewbook
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2023 Viewbook
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Other Resources
  • Graduate Employment Report [PDF]
  • Attend a Program Information Webinar
  • Financial Aid Information
Enterprise AI Solutions
Cognitive Systems
Machine learning

Admission Requirements

  • Diploma or degree
  • Proof of English language proficiency required

OR

  • A minimum of three years of related industry experience detailed in a professional resumé with a letter of intent may be considered
  • Proof of English language proficiency required

Applicants whose first language is not English or who are internationally educated in a non‐English speaking country must meet Durham College’s English Language Proficiency Policy.

Note: This is a graduate-level program and requires a strong aptitude for mathematics, statistics, computer programming, computer software and enterprise systems. Applicants should possess a high level of comfort in these essential areas to apply.

Tuition

View full costs

Semester 1 Courses

  • Studies In Artificial Intelligence (AIDI 1000)
  • Visualisation and Data Storytelling (AIDI 1001)
  • AI Algorithms I (AIDI 1002)
  • Capstone Term I (AIDI 1003)
  • Introduction to AI Development (AIDI 1100)
  • Applied Mathematics for AI Systems (MATH 1111)

View all courses

Enterprise AI Solutions
Enterprise AI Solutions
Cognitive Systems
Cognitive Systems
Machine learning
Machine learning

Career Options

WHAT YOU COULD BE:

  • Data analyst
  • AI analyst/technologist
  • Machine learning analyst/technologist
  • Business transformation consultant
  • Business analyst
  • Data steward
  • Data engineer
  • Machine Learning Practitioner/Engineer
  • AI system developer

View all career options

Program Details

Graduates of the Artificial Intelligence Analysis, Design and Implementation program will enter the workforce with a specialized skill set that includes the ability to:

  • Analyze, design, and implement Artificial Intelligence (AI) systems through the application of systematic approaches and methodologies to meet organizational needs.
  • Develop AI models and agents that use enterprise data to identify patterns, provide insights, recommend actions or perform tasks autonomously on behalf of stakeholders.
  • Prepare and communicate analysis, reports and recommendations, in a variety of formats, for various audiences, stakeholders and purposes.
  • 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.
  • Apply project management tools and lifecycle management strategies to implement AI systems on time and within budget.
  • Implement AI solutions in compliance with corporate policies, ethical standards, and industry regulations.

The AI Hub

Students will also benefit from and contribute to the Durham College Hub for Applied Research in Artificial Intelligence for Business Solutions (the AI Hub), which offers industry partners access to technical expertise, state-of-the-art facilities and platforms, and student talent, to help uncover business insights while providing intelligent and autonomous solutions that increase their companies’ productivity and growth.

PROGRAM 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.
  5. Apply project management principles and lifecycle management strategies to implement artificial intelligence systems on time and budget.
  6. Implement artificial intelligence solutions in compliance with corporate policies, ethical standards, and industry regulations with an understanding of risk, fiscal and legal implications.

 

Program 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.
  5. Apply project management principles and lifecycle management strategies to implement artificial intelligence systems on time and budget.
  6. Implement artificial intelligence solutions in compliance with corporate policies, ethical standards, and industry regulations with an understanding of risk, fiscal and legal implications.

Admission Requirements

  • Diploma or degree
  • Proof of English language proficiency required

OR

  • A minimum of three years of related industry experience detailed in a professional resumé with a letter of intent may be considered
  • Proof of English language proficiency required

Applicants whose first language is not English or who are internationally educated in a non‐English speaking country must meet Durham College’s English Language Proficiency Policy.

Note: This is a graduate-level program and requires a strong aptitude for mathematics, statistics, computer programming, computer software and enterprise systems. Applicants should possess a high level of comfort in these essential areas to apply.

Courses

The courses listed below are for incoming students. If you are a current student, please refer to your program of study for the year you began your program. Your program of study can be found on MyDC.

Semester 1

  • Studies In Artificial Intelligence (AIDI 1000)
  • Visualisation and Data Storytelling (AIDI 1001)
  • AI Algorithms I (AIDI 1002)
  • Capstone Term I (AIDI 1003)
  • Introduction to AI Development (AIDI 1100)
  • Applied Mathematics for AI Systems (MATH 1111)

Semester 2

  • Applied Machine Learning and Advanced AI Systems (AIDI 2000)
  • Knowledge and Expert Systems (AIDI 2001)
  • Careers and Digital Portfolio (AIDI 2002)
  • Consulting and Professional Communications (AIDI 2003)
  • AI In Enterprise Systems (AIDI 2004)
  • Capstone Term II (AIDI 2005)

Courses and course descriptions are subject to change. Please note that as a result of COVID-19 the 2023-2024 program of study may be modified to accommodate program delivery changes.

Course delivery

More than 50% of this program is delivered in-person.

The rest of the coursework will be delivered using hybrid, flexible or online formats. Students will come to campus to complete in-person learning requirements. Detailed schedules, with course-specific delivery information, will be available after registration. Courses, course descriptions and delivery formats are subject to change.

In-person:
Course is delivered in person, on campus within a classroom, lab, shop or studio.
Flexible:
Course is taught in one of DC’s technology-enabled learning classrooms and online at the same time. Students can choose to attend in-person or online.
Hybrid:
Part of the course is delivered online, remotely, and part is in-person on campus within a classroom, lab, shop or studio.
Online:
Fully remote course delivery.

Costs

Career Options

WHAT YOU COULD BE:

  • Data analyst
  • AI analyst/technologist
  • Machine learning analyst/technologist
  • Business transformation consultant
  • Business analyst
  • Data steward
  • Data engineer
  • Machine Learning Practitioner/Engineer
  • AI system developer

WHERE YOU COULD WORK:

  • Technology companies
  • Start-up and early stage entrepreneurial companies
  • Financial services providers
  • Telecommunications companies
  • Manufacturing organizations

Experiential Learning

Applied Research: Students will be able to engage in applied research opportunities with the Durham College Hub for Applied Research in Artificial Intelligence for Business Solutions, better known as the AI Hub.

Capstone projects: All students will complete two diverse capstone projects – one per semester – to apply their classroom learning to tangible, real-world challenges. In the first, they will use strategy games as a foundation to teach an AI system (an agent in AI terms) to operate in a complex environment and achieve strategic goals. In the second, students will work with bleeding edge Deep Learning algorithms and frameworks to build upon concepts exercised in their first capstone. This will allow them to tackle highly complex problems with more advanced solutions.​

Optional work term: Students who meet all academic requirements will be eligible to pursue an optional work term in a formal work environment or entrepreneurial endeavour. Entrance to the work term option is limited, and the processes for securing a work term position are competitive. The work term will be similar in length to an academic semester and typically involves full-time work hours that may be paid or unpaid. Click here for more information.

Laptop Requirements

MINIMUM REQUIRED HARDWARE

  • Intel I7 or AMD Ryzen 7 processor or better with chipset that must support virtualization
  • 16 GB of RAM
  • 1 TB hard drive
  • Ethernet Network Card or USB to Ethernet adapter
  • Wireless Network Card
  • One USB 3.0 port (two preferred)
  • Webcam
  • Microphone (headset preferred)

SOFTWARE REQUIREMENTS

  • Windows 10 Professional Edition

Optional work term

Participating in the optional work term semester is an excellent way to build your professional network, explore career paths and apply in-class teachings to real work situations.

Students in the Artificial Intelligence Analysis, Design and Implementation graduate certificate program will be invited to apply to the optional work term semester during their first academic semester. Entrance to the optional work term semester is limited and the processes for securing a work term are competitive. Students who qualify for the optional work term semester will be eligible to complete a four-month, paid or unpaid work term after academic semester 2.

Supports are available through the Experiential Learning office to assist students with securing their work terms. In addition, the Experiential Learning office is in contact with work term students and their employers during the work terms to help with any questions.

Program sequence

SEPTEMBER INTAKE:

Fall
(September to December)
Winter
(January to April)
Summer
(May to August)
Year 1 Academic semester 1 Academic semester 2 Optional work term

JANUARY INTAKE:

Winter
(January to April)
Summer
(May to August)
Fall
(September to December)
Year 1 Academic semester 1 Academic semester 2 Optional work term

Courses

WORK TERM OPTION

SEMESTER 1

  • Studies In Artificial Intelligence (AIDI 1000)
  • Visualisation and Data Storytelling (AIDI 1001)
  • AI Algorithms I (AIDI 1002)
  • Capstone Term I (AIDI 1003)
  • Introduction to AI Development (AIDI 1100)
  • Applied Mathematics for AI Systems (MATH 1111)

SEMESTER 2

  • Applied Machine Learning and Advanced AI Systems (AIDI 2000)
  • Knowledge and Expert Systems (AIDI 2001)
  • Careers and Digital Portfolio (AIDI 2002)
  • Consulting and Professional Communications (AIDI 2003)
  • AI In Enterprise Systems (AIDI 2004)
  • Capstone Term II (AIDI 2005)

SEMESTER 3

  • Work Term 1 (AIDW 1000)
    The work term will provide students with work experience in artificial intelligence systems. The work term expands students’ learning environment to real work settings where they will be challenged to apply their academic knowledge and practical skills.


Courses and course descriptions are subject to change.

Administrative fee

Once transferred to the work term option of this program, students will have an administrative fee of $475 assessed to their accounts during the academic semester(s) prior to scheduled work term(s). The administrative fee goes to support the broad array of support services provided to work term students. These services are dedicated to support student success.

Co-op Work Permits

If you are an international student enrolled in the work term option, you are required to have a valid co-op work permit before starting your work term. You must apply for and receive a Social Insurance Number in order to work in Canada. Documentation and instructions on how to apply for a co-op work permit will be provided only to students who are successful with their application into the work term option once semester 1 grades have been finalized.

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Durham College is situated on the traditional lands of the First Peoples of the Mississaugas of Scugog Island First Nation. These lands are covered under the Williams Treaties and rest within the traditional territory of the Anishinaabeg. We offer our gratitude to the Indigenous Peoples who care for and, through the treaty process, share the lands on which we live, learn, teach and prosper today.

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