Artificial Intelligence for Robotics Program (Postgraduate) (T426)
Program Description
Program Overview
Gain the skills to seize career opportunities created by emerging and fast-moving new technologies with the one-year Artificial Intelligence for Robotics postgraduate program.
Full Description
Artificial intelligence (AI) continues transforming how organizations operate, deliver and design products, and interact with clients. In the Artificial Intelligence for Robotics (T426) graduate certificate program, students will develop the skills required for exciting new careers in the emerging field of AI-powered robotics and automation.
This one-year program targets students with previous computer science, engineering and machine learning education, preparing them to adapt to the needs of a rapidly changing work environment. It includes a capstone project that provides practical experience designing, developing and operating AI-enhanced robotics systems. Students will complete this technical work while considering social, environmental and ethical implications.
By demonstrating technical and critical thinking skills, graduates of this program will be ready to enter the workforce or pursue further study with an end-to-end perspective on AI-enhanced robotics.
General Computer Requirements
This program requires you to have access to a personal computer with the following specifications:
- 16GB minimum (32 GB RAM recommended)
- 512 GB SSD Hard Drive
- Quad-core i7 2.4GHz or better
- Webcam
Career & Postgraduate Study Opportunities
Industry
AI, robotics, and automation continue to fundamentally change the workplace landscape. AI-powered robotics is a multidisciplinary area incorporating mechatronics and computer science. It has emerged as an important domain in the greater AI field that requires a refined skill set.
AI and robotics hold the promise of productivity and efficiency gains, transforming legacy industries and allowing new industries to emerge.
Educational Pathways
Potential educational pathways include:
- Computer Programming and Analysis (T177/T197)
- Computer Programming (T186)
- Computer Programming – Low Code (T189)
- Computer Systems Technology (T147)
- AI Solutions Development (T431)
- Mobile Applications Development and Strategy (T440)
- Individuals from industry who are currently working and are looking to advance their career.
- Graduates of this program may wish to directly enter the workforce or pursue additional programs and third-party certificates.
Potential pathways for further education include:
- computer science degrees
- computer engineering degrees
- data science degrees
Courses
Required Courses
Semester 1
| Code | Course name |
|---|---|
| AIRO4000 | Introduction to Robotics |
| AIRO4001 | Machine Learning |
| AIRO4002 | Deep Learning |
| AIRO4003 | Mechatronics |
| AIRO4004 | Robotic Systems |
| AIRO4005 | Capstone Project Preparation |
Semester 2
| Code | Course name |
|---|---|
| AIRO4010 | Algorithms for Robotics |
| AIRO4011 | Integration of AI for Robotics |
| AIRO4012 | Human Robot Interaction |
| AIRO4013 | Ethics and Governance in Artificial Intelligence & Robotics |
| AIRO4014 | Autonomous Robots |
| AIRO4015 | Capstone Project |
| COMP4064 | Career Planning and Portfolio Development |
Program Learning Outcomes
- Analyze, design, and document the requirements for a secure Internet of Things solution to meet industry needs.
- Implement, validate, maintain, and troubleshoot secure Internet of Things solutions to meet industry requirements.
- Communicate and collaborate with team members and stakeholders in a multi-disciplinary environment to ensure effective working relationships.
- Evaluate and monitor Internet of Things projects in a multi-disciplinary environment to ensure adherence to project management principles.
- Evaluate the impact of the implementation of Internet of Things solutions to ensure full compliance with the ethical, social, legal, regulatory and economics requirements.
- Maintain professional currency to respond to emerging trends within the Internet of Things industry to provide optimal solutions.
- Design, implement, maintain, and troubleshoot a data collection, storage, and processing strategy to optimize Internet of Things solutions.
- Integrate secure network communications into Internet of Things solutions to meet requirements and industry standards.
- Employ automation methods and tools to increase Internet of Things system efficacy.
- Build, test and troubleshoot electronic circuits, equipment, systems, and subsystems in accordance with job requirements, functional specifications, and relevant standards.
Tuition & Fees
Domestic Tuition
International Tuition
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 2024. Fees are subject to change for programs starting in Fall 2025 and at later dates. This fee does not include books, 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 2025. Tuition fees are subject to board approval. Material, student service and ancillary fees are estimated based on prior years. All fees are subject to change without notice. This fee does not include books, 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.
Disclaimer: The information contained in this website is subject to change without notice. It should not be viewed as a representation, offer or warranty. Students are responsible for verifying George Brown College fee requirements.
Admission Requirements
Ontario College Diploma, Advanced Diploma, Degree or equivalent. Applicants must be graduates of a program in computer science, engineering, machine learning or a related field. Familiarity with Python is strongly recommended.
International Students
Visit the International Admissions page for more information regarding country specific admission requirements.
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 College Online Application System.
Contact Us
School of Computer Technology
Phone: 416-415-5000, ext. 4287
Email: computertechnology@georgebrown.ca
The office hours are:
Monday to Friday: 9 a.m.–6 p.m.
Program Co-ordinator: Moe Fadaee
Email: Moe.Fadaee@georgebrown.ca
Phone: 416-415-5000, ext. 3229
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
