George Brown Polytechnic is located on the traditional territory of the Mississaugas of the Credit First Nation and other Indigenous peoples who have lived here over time. We are grateful to share this land as treaty people who learn, work and live in the community with each other.
Computer Programming – AI Solutions
(T199)
Program Details
New- Program Code: T199
- Credential: Ontario College Diploma
- Duration: 4 Semesters
- Method of Study: Full-time
- Starting Months: January, September
- Domestic Tuition: $4,339.00 *
- International Tuition: $19,250.00 **
Program Availability
| Semester | Domestic | International |
|---|---|---|
| Fall 2027 | Not Available | Opens Oct 6, 2026 |
| Winter 2028 | Not Available | Opens Feb 3, 2027 |
| Spring 2028 | Not Available | Not Available |
- PGWP Eligible: Yes
- CIP Code: 11.0201
- Please note that field of study/CIP code is only one component of PGWP eligibility. Please consult the official IRCC PGWP eligibility webpage (opens in a new tab) for the most current and complete information.
Program Description
Program Overview
Prepare for a career in AI and software development with the Computer Programming – AI Solutions two-year diploma program. Learn the programming, data and development skills needed to build practical, responsible and production-ready software and AI solutions in a range of industries.
Full Description
Artificial intelligence is an important component of software products, business systems, and digital services in many industries. Organizations need technology professionals who can do more than use AI tools: they need graduates who understand how to program, prepare data, evaluate models, integrate AI capabilities into applications and operate those solutions responsibly.
In the Computer Programming – AI Solutions (T199) two-year diploma program, you’ll develop the programming, software-development, and data skills needed to create practical AI-enabled solutions. The program combines the established foundations of computer programming with specialized study in machine learning, deep learning, generative AI, AI security, and production deployment.
You’ll establish a strong foundation in Python and object-oriented programming, web and full-stack development, databases, Linux operating systems, and mathematics for computer technology. Building on these skills, you’ll learn to prepare data for AI applications and explore supervised, unsupervised and advanced machine-learning methods, including neural networks and deep learning.
Applied learning and practical experience
Through hands-on projects, you’ll integrate machine-learning models and generative AI services into secure, user-focused applications. You’ll also learn to test and evaluate AI systems, address cybersecurity risks, apply principles of ethics, governance and explainability, and deploy and monitor AI solutions using modern optimization and MLOps practices.
The program culminates in an experiential capstone project in which you’ll design, develop, evaluate and present an AI-enabled solution to an authentic organizational or community need. By graduation, you’ll be prepared to contribute to multidisciplinary teams developing responsible, production-ready software and AI solutions across a range of industries.
Career & Postgraduate Study Opportunities
Industry
Artificial intelligence is increasingly being incorporated into software applications, digital services and organizational processes across industries such as finance, health care, manufacturing, transportation, retail, government, media and professional services. Organizations need technology professionals who can combine programming and software-development skills with an understanding of data, machine learning and responsible AI practices.
The Computer Programming – AI Solutions program responds to this need by preparing students to develop, integrate, test and deploy AI-enabled software solutions. Students gain practical experience with Python, full-stack development, databases, Linux, data engineering, machine learning, deep learning, generative AI, cybersecurity and cloud-based deployment. The program also addresses model evaluation, AI ethics, governance and explainability, helping graduates contribute to the development of secure, reliable and responsible AI applications.
Educational Pathways
Graduates of the Computer Programming – AI Solutions program may continue their education in diploma programs such as:
Graduates can also continue their education directly to any of the postgraduate certificates such as:
- T431 — AI Solutions Development
- T426 — AI for Robotics
- T465 — Cloud Computing Technologies
- T428 — Digital Product Management
- T405 — Information Systems Business Analysis
- T433 — Cyber Security
After completing an eligible diploma or advanced diploma, graduates may pursue further educational pathways into degree programs in areas such as information technology, computer science, software development, data analytics, cybersecurity, artificial intelligence or related disciplines. The receiving program or institution determines admission, transfer credit and advanced-standing opportunities.
Courses
Semester 1
| Code | Course Name |
|---|---|
| COMM2000 | Communicating Across Contexts |
| COMP1151 | IT Essentials: Computer Hardware Fundamentals |
| COMP1234 | Introduction to Web Development |
| COMP1236 | Fundamentals of Computing Logic |
| COMP1238 | Introduction to Data Management |
| MATH1162 | Mathematics for Computer Technology I |
Semester 2
| Code | Course Name |
|---|---|
| COAI1005 | Introduction to Software Development |
| COMP1168 | Database Management |
| COMP1235 | Introduction to Full-Stack Development |
| COMP3044 | Linux Essentials |
| MATH1172 | Mathematics for Computer Technology II |
| GNED | General Elective |
Semester 3
| Code | Course Name |
|---|---|
| COAI2000 | Machine Learning Foundations |
| COAI2001 | AI Application Development and Integration |
| COAI2002 | AI Testing and Model Evaluation |
| COAI2003 | AI Systems Security and Threat Detection |
| COAI2010 | Data Engineering and Feature Preparation for AI |
| GNED | General Elective |
Semester 4
| Code | Course Name |
|---|---|
| COAI2005 | AI Optimization and Deployment |
| COAI2006 | Capstone Project |
| COAI2007 | AI Ethics, Governance and Explainability |
| COAI2008 | Generative AI and Language Models |
| COAI2011 | Deep Learning and Advanced Machine Learning |
| GNED | General Elective |
Course Outline URL
Program Learning Outcomes
The graduate has reliably demonstrated the ability to:
- Identify, analyze, develop, implement, verify and document the requirements for a computing environment.
- Contribute to the diagnostics, troubleshooting, documenting and monitoring of technical problems using appropriate methodologies and tools.
- Implement and maintain secure computing environments.
- Implement robust computing system solutions through validation testing that aligns with industry best practices.
- Communicate and collaborate with team members and stakeholders to ensure effective working relationships.
- Select and apply strategies for personal and professional development to enhance work performance.
- Apply project management principles and tools when working on projects within a computing environment.
- Adhere to ethical, legal, and regulatory requirements and/or principles in the development and management of computing solutions and systems.
- Support the analysis and definition of software system specifications based on functional and nonfunctional requirements.
- Contribute to the development, documentation, implementation, configuration, maintenance and testing of software systems by using industry standard software development methodologies, based on defined specifications and existing technologies/frameworks.
- Apply one or more programming paradigms such as, object-oriented, structured or functional programming, and design principles, as well as documented requirements, to the software development process.
- Model, design, implement, and maintain basic data storage solutions.
- Contribute to the integration of network communications into software solutions by adhering to protocol standards.
- Recommend AI tools and data-driven methodologies to improve processes and workflows within an organization.
- Integrate generative AI solutions to optimize user experience with applications and processes.
Tuition & Fees
Domestic Tuition
$4,339.00 *
International Tuition
$19,250.00 **
Additional Costs
* Amounts listed are the estimated total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in fall 2026. Fees are subject to change for programs starting in fall 2027 and at later dates. This fee does not include books, E-text and other material, which are to be purchased by the student separately.
** Amounts listed are the estimated total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2026. Fees are subject to change for programs starting in fall 2027 and at later dates. This fee does not include books, E-text and other material, which are to be purchased by the student separately.
International Students
Visit the International Fees and Related Costs page for more information.
Financial Assistance
This program is approved for OSAP funding, provided the applicant meets OSAP eligibility criteria.
Each year we award over $2 million dollars in scholarships, awards and bursaries to first-year students. Check out our financial aid web pages for ways to pay for college and the full list of available scholarships, awards and bursaries.
Admission Requirements
Applicants are selected on the basis of their academic achievement, including the required courses, and any other selection criteria outlined below.
- Ontario Secondary School Diploma or equivalent**
- grade 12 English (C or U)
- grade 11 Math (C, M or U) or grade 12 (C or U)
** Mature student status (19 years of age or older and no OSSD)
Mature students may take the Admissions Assessment for English and Math, OR may consider upgrading to achieve the credit(s) needed in English and Math.
Please note that George Brown is committed to ensuring that applicants will succeed in their program of choice and meeting the minimum requirements does not guarantee admission to the program. Applicants may be required to have grades higher than the minimum requirements stated.
Course exemptions
College or university credits may qualify you for course exemptions. Please visit Transfer Guide for more information.
International Students
Visit the International Admissions page for more information regarding country specific admission requirements.
How to Apply
Domestic students should apply through Ontario Colleges.
International Students
Visit the How to Apply page for more information on how and when to apply.
International students should apply through the George Brown Polytechnic Online Application System.
Contact Us
Contact Us
School of Computer Technology
Phone: 416-415-5000, ext. 4287
Email: computertechnology@georgebrown.ca
The office hours are:
Monday - Friday, 9:00 a.m. – 4:00 p.m.
Program Associate Dean: Albert Danison
Email: Albert.Danison@georgebrown.ca
Phone: 416-415-5000, ext. 6330
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information, visit the International Contact Us page
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information visit the International Contact Us page
Program Description
Program Overview
Prepare for a career in AI and software development with the Computer Programming – AI Solutions two-year diploma program. Learn the programming, data and development skills needed to build practical, responsible and production-ready software and AI solutions in a range of industries.
Full Description
Artificial intelligence is an important component of software products, business systems, and digital services in many industries. Organizations need technology professionals who can do more than use AI tools: they need graduates who understand how to program, prepare data, evaluate models, integrate AI capabilities into applications and operate those solutions responsibly.
In the Computer Programming – AI Solutions (T199) two-year diploma program, you’ll develop the programming, software-development, and data skills needed to create practical AI-enabled solutions. The program combines the established foundations of computer programming with specialized study in machine learning, deep learning, generative AI, AI security, and production deployment.
You’ll establish a strong foundation in Python and object-oriented programming, web and full-stack development, databases, Linux operating systems, and mathematics for computer technology. Building on these skills, you’ll learn to prepare data for AI applications and explore supervised, unsupervised and advanced machine-learning methods, including neural networks and deep learning.
Applied learning and practical experience
Through hands-on projects, you’ll integrate machine-learning models and generative AI services into secure, user-focused applications. You’ll also learn to test and evaluate AI systems, address cybersecurity risks, apply principles of ethics, governance and explainability, and deploy and monitor AI solutions using modern optimization and MLOps practices.
The program culminates in an experiential capstone project in which you’ll design, develop, evaluate and present an AI-enabled solution to an authentic organizational or community need. By graduation, you’ll be prepared to contribute to multidisciplinary teams developing responsible, production-ready software and AI solutions across a range of industries.
Career & Postgraduate Study Opportunities
Industry
Artificial intelligence is increasingly being incorporated into software applications, digital services and organizational processes across industries such as finance, health care, manufacturing, transportation, retail, government, media and professional services. Organizations need technology professionals who can combine programming and software-development skills with an understanding of data, machine learning and responsible AI practices.
The Computer Programming – AI Solutions program responds to this need by preparing students to develop, integrate, test and deploy AI-enabled software solutions. Students gain practical experience with Python, full-stack development, databases, Linux, data engineering, machine learning, deep learning, generative AI, cybersecurity and cloud-based deployment. The program also addresses model evaluation, AI ethics, governance and explainability, helping graduates contribute to the development of secure, reliable and responsible AI applications.
Educational Pathways
Graduates of the Computer Programming – AI Solutions program may continue their education in diploma programs such as:
Graduates can also continue their education directly to any of the postgraduate certificates such as:
- T431 — AI Solutions Development
- T426 — AI for Robotics
- T465 — Cloud Computing Technologies
- T428 — Digital Product Management
- T405 — Information Systems Business Analysis
- T433 — Cyber Security
After completing an eligible diploma or advanced diploma, graduates may pursue further educational pathways into degree programs in areas such as information technology, computer science, software development, data analytics, cybersecurity, artificial intelligence or related disciplines. The receiving program or institution determines admission, transfer credit and advanced-standing opportunities.
Courses
Semester 1
| Code | Course Name |
|---|---|
| COMM2000 | Communicating Across Contexts |
| COMP1151 | IT Essentials: Computer Hardware Fundamentals |
| COMP1234 | Introduction to Web Development |
| COMP1236 | Fundamentals of Computing Logic |
| COMP1238 | Introduction to Data Management |
| MATH1162 | Mathematics for Computer Technology I |
Semester 2
| Code | Course Name |
|---|---|
| COAI1005 | Introduction to Software Development |
| COMP1168 | Database Management |
| COMP1235 | Introduction to Full-Stack Development |
| COMP3044 | Linux Essentials |
| MATH1172 | Mathematics for Computer Technology II |
| GNED | General Elective |
Semester 3
| Code | Course Name |
|---|---|
| COAI2000 | Machine Learning Foundations |
| COAI2001 | AI Application Development and Integration |
| COAI2002 | AI Testing and Model Evaluation |
| COAI2003 | AI Systems Security and Threat Detection |
| COAI2010 | Data Engineering and Feature Preparation for AI |
| GNED | General Elective |
Semester 4
| Code | Course Name |
|---|---|
| COAI2005 | AI Optimization and Deployment |
| COAI2006 | Capstone Project |
| COAI2007 | AI Ethics, Governance and Explainability |
| COAI2008 | Generative AI and Language Models |
| COAI2011 | Deep Learning and Advanced Machine Learning |
| GNED | General Elective |
Course Outline URL
Tuition & Fees
Domestic Tuition
$4,339.00 *
International Tuition
$19,250.00 **
Additional Costs
* Amounts listed are the estimated total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in fall 2026. Fees are subject to change for programs starting in fall 2027 and at later dates. This fee does not include books, E-text and other material, which are to be purchased by the student separately.
** Amounts listed are the estimated total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2026. Fees are subject to change for programs starting in fall 2027 and at later dates. This fee does not include books, E-text and other material, which are to be purchased by the student separately.
International Students
Visit the International Fees and Related Costs page for more information.
Financial Assistance
This program is approved for OSAP funding, provided the applicant meets OSAP eligibility criteria.
Each year we award over $2 million dollars in scholarships, awards and bursaries to first-year students. Check out our financial aid web pages for ways to pay for college and the full list of available scholarships, awards and bursaries.
Admission Requirements
Applicants are selected on the basis of their academic achievement, including the required courses, and any other selection criteria outlined below.
- Ontario Secondary School Diploma or equivalent**
- grade 12 English (C or U)
- grade 11 Math (C, M or U) or grade 12 (C or U)
** Mature student status (19 years of age or older and no OSSD)
Mature students may take the Admissions Assessment for English and Math, OR may consider upgrading to achieve the credit(s) needed in English and Math.
Please note that George Brown is committed to ensuring that applicants will succeed in their program of choice and meeting the minimum requirements does not guarantee admission to the program. Applicants may be required to have grades higher than the minimum requirements stated.
Course exemptions
College or university credits may qualify you for course exemptions. Please visit Transfer Guide for more information.
International Students
Visit the International Admissions page for more information regarding country specific admission requirements.
How to Apply
Domestic students should apply through Ontario Colleges.
International Students
Visit the How to Apply page for more information on how and when to apply.
International students should apply through the George Brown Polytechnic Online Application System.
Program Learning Outcomes
The graduate has reliably demonstrated the ability to:
- Identify, analyze, develop, implement, verify and document the requirements for a computing environment.
- Contribute to the diagnostics, troubleshooting, documenting and monitoring of technical problems using appropriate methodologies and tools.
- Implement and maintain secure computing environments.
- Implement robust computing system solutions through validation testing that aligns with industry best practices.
- Communicate and collaborate with team members and stakeholders to ensure effective working relationships.
- Select and apply strategies for personal and professional development to enhance work performance.
- Apply project management principles and tools when working on projects within a computing environment.
- Adhere to ethical, legal, and regulatory requirements and/or principles in the development and management of computing solutions and systems.
- Support the analysis and definition of software system specifications based on functional and nonfunctional requirements.
- Contribute to the development, documentation, implementation, configuration, maintenance and testing of software systems by using industry standard software development methodologies, based on defined specifications and existing technologies/frameworks.
- Apply one or more programming paradigms such as, object-oriented, structured or functional programming, and design principles, as well as documented requirements, to the software development process.
- Model, design, implement, and maintain basic data storage solutions.
- Contribute to the integration of network communications into software solutions by adhering to protocol standards.
- Recommend AI tools and data-driven methodologies to improve processes and workflows within an organization.
- Integrate generative AI solutions to optimize user experience with applications and processes.
Contact Us
Contact Us
School of Computer Technology
Phone: 416-415-5000, ext. 4287
Email: computertechnology@georgebrown.ca
The office hours are:
Monday - Friday, 9:00 a.m. – 4:00 p.m.
Program Associate Dean: Albert Danison
Email: Albert.Danison@georgebrown.ca
Phone: 416-415-5000, ext. 6330
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information, visit the International Contact Us page
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information visit the International Contact Us page
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Book campus tourVisit
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- Campus Facilities
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Computer Programming – AI Solutions
(T199)
Program Details
New- Program Code: T199
- Credential: Ontario College Diploma
- Duration: 4 Semesters
- Method of Study: Full-time
- Starting Months: January
- Domestic Tuition: $4,339.00 *
- International Tuition: $19,250.00 **
Program Availability
| Semester | Domestic | International |
|---|---|---|
| Fall 2026 | Not Available | Not Available |
| Winter 2027 | Open | Open |
| Spring 2027 | Not Available | Not Available |
- PGWP Eligible: Yes
- CIP Code: 11.0201
- Please note that field of study/CIP code is only one component of PGWP eligibility. Please consult the official IRCC PGWP eligibility webpage (opens in a new tab) for the most current and complete information.
Program Description
Program Overview
Prepare for a career in AI and software development with the Computer Programming – AI Solutions two-year diploma program. Learn the programming, data and development skills needed to build practical, responsible and production-ready software and AI solutions in a range of industries.
Full Description
Artificial intelligence is an important component of software products, business systems, and digital services in many industries. Organizations need technology professionals who can do more than use AI tools: they need graduates who understand how to program, prepare data, evaluate models, integrate AI capabilities into applications and operate those solutions responsibly.
In the Computer Programming – AI Solutions (T199) two-year diploma program, you’ll develop the programming, software-development, and data skills needed to create practical AI-enabled solutions. The program combines the established foundations of computer programming with specialized study in machine learning, deep learning, generative AI, AI security, and production deployment.
You’ll establish a strong foundation in Python and object-oriented programming, web and full-stack development, databases, Linux operating systems, and mathematics for computer technology. Building on these skills, you’ll learn to prepare data for AI applications and explore supervised, unsupervised and advanced machine-learning methods, including neural networks and deep learning.
Applied learning and practical experience
Through hands-on projects, you’ll integrate machine-learning models and generative AI services into secure, user-focused applications. You’ll also learn to test and evaluate AI systems, address cybersecurity risks, apply principles of ethics, governance and explainability, and deploy and monitor AI solutions using modern optimization and MLOps practices.
The program culminates in an experiential capstone project in which you’ll design, develop, evaluate and present an AI-enabled solution to an authentic organizational or community need. By graduation, you’ll be prepared to contribute to multidisciplinary teams developing responsible, production-ready software and AI solutions across a range of industries.
Program Specific Computer Requirements
This program requires you to have access to a personal computer with the following specifications:
- 8 GB minimum (16 GB RAM recommended)
- 256 GB SSD Hard Drive (500+ GB is optimal)
- Quad-core i5/i7 2.4GHz or better
- Webcam
Career & Postgraduate Study Opportunities
Industry
Artificial intelligence is increasingly being incorporated into software applications, digital services and organizational processes across industries such as finance, health care, manufacturing, transportation, retail, government, media and professional services. Organizations need technology professionals who can combine programming and software-development skills with an understanding of data, machine learning and responsible AI practices.
The Computer Programming – AI Solutions program responds to this need by preparing students to develop, integrate, test and deploy AI-enabled software solutions. Students gain practical experience with Python, full-stack development, databases, Linux, data engineering, machine learning, deep learning, generative AI, cybersecurity and cloud-based deployment. The program also addresses model evaluation, AI ethics, governance and explainability, helping graduates contribute to the development of secure, reliable and responsible AI applications.
Educational Pathways
Graduates of the Computer Programming – AI Solutions program may continue their education in diploma programs such as:
Graduates can also continue their education directly to any of the postgraduate certificates such as:
- T431 — AI Solutions Development
- T426 — AI for Robotics
- T465 — Cloud Computing Technologies
- T428 — Digital Product Management
- T405 — Information Systems Business Analysis
- T433 — Cyber Security
After completing an eligible diploma or advanced diploma, graduates may pursue further educational pathways into degree programs in areas such as information technology, computer science, software development, data analytics, cybersecurity, artificial intelligence or related disciplines. The receiving program or institution determines admission, transfer credit and advanced-standing opportunities.
Courses
Semester 1
| Code | Course Name |
|---|---|
| COMM2000 | Communicating Across Contexts |
| COMP1151 | IT Essentials: Computer Hardware Fundamentals |
| COMP1234 | Introduction to Web Development |
| COMP1236 | Fundamentals of Computing Logic |
| COMP1238 | Introduction to Data Management |
| MATH1162 | Mathematics for Computer Technology I |
Semester 2
| Code | Course Name |
|---|---|
| COAI1005 | Introduction to Software Development |
| COMP1168 | Database Management |
| COMP1235 | Introduction to Full-Stack Development |
| COMP3044 | Linux Essentials |
| MATH1172 | Mathematics for Computer Technology II |
| GNED | General Elective |
Semester 3
| Code | Course Name |
|---|---|
| COAI2000 | Machine Learning Foundations |
| COAI2001 | AI Application Development and Integration |
| COAI2002 | AI Testing and Model Evaluation |
| COAI2003 | AI Systems Security and Threat Detection |
| COAI2010 | Data Engineering and Feature Preparation for AI |
| GNED | General Elective |
Semester 4
| Code | Course Name |
|---|---|
| COAI2005 | AI Optimization and Deployment |
| COAI2006 | Capstone Project |
| COAI2007 | AI Ethics, Governance and Explainability |
| COAI2008 | Generative AI and Language Models |
| COAI2011 | Deep Learning and Advanced Machine Learning |
| GNED | General Elective |
Course Outline URL
Program Learning Outcomes
The graduate has reliably demonstrated the ability to:
- Identify, analyze, develop, implement, verify and document the requirements for a computing environment.
- Contribute to the diagnostics, troubleshooting, documenting and monitoring of technical problems using appropriate methodologies and tools.
- Implement and maintain secure computing environments.
- Implement robust computing system solutions through validation testing that aligns with industry best practices.
- Communicate and collaborate with team members and stakeholders to ensure effective working relationships.
- Select and apply strategies for personal and professional development to enhance work performance.
- Apply project management principles and tools when working on projects within a computing environment.
- Adhere to ethical, legal, and regulatory requirements and/or principles in the development and management of computing solutions and systems.
- Support the analysis and definition of software system specifications based on functional and nonfunctional requirements.
- Contribute to the development, documentation, implementation, configuration, maintenance and testing of software systems by using industry standard software development methodologies, based on defined specifications and existing technologies/frameworks.
- Apply one or more programming paradigms such as, object-oriented, structured or functional programming, and design principles, as well as documented requirements, to the software development process.
- Model, design, implement, and maintain basic data storage solutions.
- Contribute to the integration of network communications into software solutions by adhering to protocol standards.
- Recommend AI tools and data-driven methodologies to improve processes and workflows within an organization.
- Integrate generative AI solutions to optimize user experience with applications and processes.
Tuition & Fees
Domestic Tuition
$4,339.00 *
International Tuition
$19,250.00 **
Additional Costs
* Amounts listed are the estimated total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in fall 2026. Fees are subject to change for programs starting in fall 2027 and at later dates. This fee does not include books, E-text and other material, which are to be purchased by the student separately.
** Amounts listed are the estimated total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2026. Fees are subject to change for programs starting in fall 2027 and at later dates. This fee does not include books, E-text and other material, which are to be purchased by the student separately.
International Students
Visit the International Fees and Related Costs page for more information.
Financial Assistance
This program is approved for OSAP funding, provided the applicant meets OSAP eligibility criteria.
Each year we award over $2 million dollars in scholarships, awards and bursaries to first-year students. Check out our financial aid web pages for ways to pay for college and the full list of available scholarships, awards and bursaries.
Admission Requirements
Applicants are selected on the basis of their academic achievement, including the required courses, and any other selection criteria outlined below.
- Ontario Secondary School Diploma or equivalent**
- grade 12 English (C or U)
- grade 11 Math (C, M or U) or grade 12 (C or U)
** Mature student status (19 years of age or older and no OSSD)
Mature students may take the Admissions Assessment for English and Math, OR may consider upgrading to achieve the credit(s) needed in English and Math.
Please note that George Brown is committed to ensuring that applicants will succeed in their program of choice and meeting the minimum requirements does not guarantee admission to the program. Applicants may be required to have grades higher than the minimum requirements stated.
Course exemptions
College or university credits may qualify you for course exemptions. Please visit Transfer Guide for more information.
International Students
Visit the International Admissions page for more information regarding country specific admission requirements.
How to Apply
Domestic students should apply through Ontario Colleges.
International Students
Visit the How to Apply page for more information on how and when to apply.
International students should apply through the George Brown Polytechnic Online Application System.
Contact Us
Contact Us
School of Computer Technology
Phone: 416-415-5000, ext. 4287
Email: computertechnology@georgebrown.ca
The office hours are:
Monday - Friday, 9:00 a.m. – 4:00 p.m.
Program Associate Dean: Albert Danison
Email: Albert.Danison@georgebrown.ca
Phone: 416-415-5000, ext. 6330
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information, visit the International Contact Us page
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information visit the International Contact Us page
Program Description
Program Overview
Prepare for a career in AI and software development with the Computer Programming – AI Solutions two-year diploma program. Learn the programming, data and development skills needed to build practical, responsible and production-ready software and AI solutions in a range of industries.
Full Description
Artificial intelligence is an important component of software products, business systems, and digital services in many industries. Organizations need technology professionals who can do more than use AI tools: they need graduates who understand how to program, prepare data, evaluate models, integrate AI capabilities into applications and operate those solutions responsibly.
In the Computer Programming – AI Solutions (T199) two-year diploma program, you’ll develop the programming, software-development, and data skills needed to create practical AI-enabled solutions. The program combines the established foundations of computer programming with specialized study in machine learning, deep learning, generative AI, AI security, and production deployment.
You’ll establish a strong foundation in Python and object-oriented programming, web and full-stack development, databases, Linux operating systems, and mathematics for computer technology. Building on these skills, you’ll learn to prepare data for AI applications and explore supervised, unsupervised and advanced machine-learning methods, including neural networks and deep learning.
Applied learning and practical experience
Through hands-on projects, you’ll integrate machine-learning models and generative AI services into secure, user-focused applications. You’ll also learn to test and evaluate AI systems, address cybersecurity risks, apply principles of ethics, governance and explainability, and deploy and monitor AI solutions using modern optimization and MLOps practices.
The program culminates in an experiential capstone project in which you’ll design, develop, evaluate and present an AI-enabled solution to an authentic organizational or community need. By graduation, you’ll be prepared to contribute to multidisciplinary teams developing responsible, production-ready software and AI solutions across a range of industries.
Program Specific Computer Requirements
This program requires you to have access to a personal computer with the following specifications:
- 8 GB minimum (16 GB RAM recommended)
- 256 GB SSD Hard Drive (500+ GB is optimal)
- Quad-core i5/i7 2.4GHz or better
- Webcam
Career & Postgraduate Study Opportunities
Industry
Artificial intelligence is increasingly being incorporated into software applications, digital services and organizational processes across industries such as finance, health care, manufacturing, transportation, retail, government, media and professional services. Organizations need technology professionals who can combine programming and software-development skills with an understanding of data, machine learning and responsible AI practices.
The Computer Programming – AI Solutions program responds to this need by preparing students to develop, integrate, test and deploy AI-enabled software solutions. Students gain practical experience with Python, full-stack development, databases, Linux, data engineering, machine learning, deep learning, generative AI, cybersecurity and cloud-based deployment. The program also addresses model evaluation, AI ethics, governance and explainability, helping graduates contribute to the development of secure, reliable and responsible AI applications.
Educational Pathways
Graduates of the Computer Programming – AI Solutions program may continue their education in diploma programs such as:
Graduates can also continue their education directly to any of the postgraduate certificates such as:
- T431 — AI Solutions Development
- T426 — AI for Robotics
- T465 — Cloud Computing Technologies
- T428 — Digital Product Management
- T405 — Information Systems Business Analysis
- T433 — Cyber Security
After completing an eligible diploma or advanced diploma, graduates may pursue further educational pathways into degree programs in areas such as information technology, computer science, software development, data analytics, cybersecurity, artificial intelligence or related disciplines. The receiving program or institution determines admission, transfer credit and advanced-standing opportunities.
Courses
Semester 1
| Code | Course Name |
|---|---|
| COMM2000 | Communicating Across Contexts |
| COMP1151 | IT Essentials: Computer Hardware Fundamentals |
| COMP1234 | Introduction to Web Development |
| COMP1236 | Fundamentals of Computing Logic |
| COMP1238 | Introduction to Data Management |
| MATH1162 | Mathematics for Computer Technology I |
Semester 2
| Code | Course Name |
|---|---|
| COAI1005 | Introduction to Software Development |
| COMP1168 | Database Management |
| COMP1235 | Introduction to Full-Stack Development |
| COMP3044 | Linux Essentials |
| MATH1172 | Mathematics for Computer Technology II |
| GNED | General Elective |
Semester 3
| Code | Course Name |
|---|---|
| COAI2000 | Machine Learning Foundations |
| COAI2001 | AI Application Development and Integration |
| COAI2002 | AI Testing and Model Evaluation |
| COAI2003 | AI Systems Security and Threat Detection |
| COAI2010 | Data Engineering and Feature Preparation for AI |
| GNED | General Elective |
Semester 4
| Code | Course Name |
|---|---|
| COAI2005 | AI Optimization and Deployment |
| COAI2006 | Capstone Project |
| COAI2007 | AI Ethics, Governance and Explainability |
| COAI2008 | Generative AI and Language Models |
| COAI2011 | Deep Learning and Advanced Machine Learning |
| GNED | General Elective |
Course Outline URL
Tuition & Fees
Domestic Tuition
$4,339.00 *
International Tuition
$19,250.00 **
Additional Costs
* Amounts listed are the estimated total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in fall 2026. Fees are subject to change for programs starting in fall 2027 and at later dates. This fee does not include books, E-text and other material, which are to be purchased by the student separately.
** Amounts listed are the estimated total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2026. Fees are subject to change for programs starting in fall 2027 and at later dates. This fee does not include books, E-text and other material, which are to be purchased by the student separately.
International Students
Visit the International Fees and Related Costs page for more information.
Financial Assistance
This program is approved for OSAP funding, provided the applicant meets OSAP eligibility criteria.
Each year we award over $2 million dollars in scholarships, awards and bursaries to first-year students. Check out our financial aid web pages for ways to pay for college and the full list of available scholarships, awards and bursaries.
Admission Requirements
Applicants are selected on the basis of their academic achievement, including the required courses, and any other selection criteria outlined below.
- Ontario Secondary School Diploma or equivalent**
- grade 12 English (C or U)
- grade 11 Math (C, M or U) or grade 12 (C or U)
** Mature student status (19 years of age or older and no OSSD)
Mature students may take the Admissions Assessment for English and Math, OR may consider upgrading to achieve the credit(s) needed in English and Math.
Please note that George Brown is committed to ensuring that applicants will succeed in their program of choice and meeting the minimum requirements does not guarantee admission to the program. Applicants may be required to have grades higher than the minimum requirements stated.
Course exemptions
College or university credits may qualify you for course exemptions. Please visit Transfer Guide for more information.
International Students
Visit the International Admissions page for more information regarding country specific admission requirements.
How to Apply
Domestic students should apply through Ontario Colleges.
International Students
Visit the How to Apply page for more information on how and when to apply.
International students should apply through the George Brown Polytechnic Online Application System.
Program Learning Outcomes
The graduate has reliably demonstrated the ability to:
- Identify, analyze, develop, implement, verify and document the requirements for a computing environment.
- Contribute to the diagnostics, troubleshooting, documenting and monitoring of technical problems using appropriate methodologies and tools.
- Implement and maintain secure computing environments.
- Implement robust computing system solutions through validation testing that aligns with industry best practices.
- Communicate and collaborate with team members and stakeholders to ensure effective working relationships.
- Select and apply strategies for personal and professional development to enhance work performance.
- Apply project management principles and tools when working on projects within a computing environment.
- Adhere to ethical, legal, and regulatory requirements and/or principles in the development and management of computing solutions and systems.
- Support the analysis and definition of software system specifications based on functional and nonfunctional requirements.
- Contribute to the development, documentation, implementation, configuration, maintenance and testing of software systems by using industry standard software development methodologies, based on defined specifications and existing technologies/frameworks.
- Apply one or more programming paradigms such as, object-oriented, structured or functional programming, and design principles, as well as documented requirements, to the software development process.
- Model, design, implement, and maintain basic data storage solutions.
- Contribute to the integration of network communications into software solutions by adhering to protocol standards.
- Recommend AI tools and data-driven methodologies to improve processes and workflows within an organization.
- Integrate generative AI solutions to optimize user experience with applications and processes.
Contact Us
Contact Us
School of Computer Technology
Phone: 416-415-5000, ext. 4287
Email: computertechnology@georgebrown.ca
The office hours are:
Monday - Friday, 9:00 a.m. – 4:00 p.m.
Program Associate Dean: Albert Danison
Email: Albert.Danison@georgebrown.ca
Phone: 416-415-5000, ext. 6330
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information, visit the International Contact Us page
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information visit the International Contact Us page
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