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.
George Brown Polytechnic offers postgraduate programs for learners who want to build advanced, applied skills in artificial intelligence, machine learning, robotics, automation, data science, and AI solutions development.
These programs are designed for learners with related academic or professional backgrounds who are interested in technical, career-focused training. Visit each program page for the most current information about admission requirements, availability, delivery format, tuition, field education options, and program requirements.
Artificial Intelligence for Robotics, Postgraduate
The Artificial Intelligence for Robotics postgraduate program prepares students for careers in AI-powered robotics and automation. Students develop skills in designing, developing, and operating AI-enhanced robotics systems while considering the social, environmental, and ethical implications of this work.
The program is designed for students with previous education in areas such as computer science, engineering, and machine learning. It includes practical learning through a capstone project and supports the development of technical and critical thinking skills for work in emerging AI and robotics fields.
Graduates may pursue roles such as:
- robotics engineer or technician
- AI engineer
- computer systems developer or programmer
- software designer or engineer
- software systems integration engineer
Artificial Intelligence for Robotics, Postgraduate
Applied A.I. Solutions Development, Postgraduate
The Applied A.I. Solutions Development postgraduate program prepares students to develop applied AI, machine learning, deep learning, and data science solutions across industries. The program brings together computer science, mathematics, business analysis, and design thinking to support the development of practical AI solutions and clear communication of results.
Students learn to build and apply machine learning and deep learning models, select algorithms for different use cases, develop data-driven solutions, and communicate findings to technical experts, business stakeholders, and potential investors. The program is designed to support learners interested in applied AI roles that bridge technical development, data analysis, and business communication.
Graduates may pursue roles such as:
- data scientist or analyst
- data management specialist
- machine learning engineer or technologist
- artificial intelligence practitioner
- full-stack data scientist