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.
External and partner learning opportunities can help employees, faculty, students, and leaders build AI literacy, explore responsible use, and deepen practical skills. The resources listed below are free and come from reputable organizations with strong connections to education, technology, and responsible AI practice.
These resources are provided for learning and exploration. They are not a replacement for George Brown Polytechnic guidance, policies, or institutionally supported training.
OpenAI Academy
OpenAI Academy offers free learning resources, events, and short courses on topics such as ChatGPT, prompt writing, AI for education, AI for work, custom GPTs, and practical AI use. It includes resources for educators, students, and workplace users.
Microsoft Learn: AI For Educators
Microsoft Learn: AI For Educators is a free learning path that introduces AI concepts, generative AI, prompt engineering, responsible AI use, and practical applications in education. This resource is especially relevant for George Brown employees using Microsoft Copilot Chat through Microsoft 365.
Microsoft Learn: AI For Educators
Microsoft Learn: AI For Education Resources
Microsoft Learn: AI For Education Resources brings together free training and resources on using AI in educational contexts with Microsoft tools. It includes educator-focused resources and guidance that can support teaching, learning, and productivity.
Microsoft Learn: AI For Education Resources
Microsoft Generative AI For Beginners
Microsoft Generative AI For Beginners is a free Microsoft Cloud Advocates course with lessons on generative AI concepts and building generative AI applications. This resource is best suited for learners who want a more technical or builder-focused introduction to generative AI.
Microsoft Generative AI For Beginners
UNESCO AI Competency Framework for Teachers
The UNESCO AI Competency Framework for Teachers is a globally recognized framework that supports educators in understanding AI, applying ethical principles, and building professional capacity for AI use in education. This is a useful reference for faculty, academic leaders, and teams thinking about responsible AI in teaching and learning.
UNESCO AI Competency Framework for Teachers
UNESCO AI Competency Framework for Students
The UNESCO AI Competency Framework for Students supports the development of AI literacy for learners, including critical, ethical, and responsible engagement with AI. It may be useful for faculty, curriculum teams, student support areas, and anyone developing AI literacy resources for students.
UNESCO AI Competency Framework for Students
Google AI Essentials
Google AI Essentials is a beginner-friendly course that introduces AI concepts, prompting, productivity use cases, and responsible AI practices. It is designed for learners across roles and industries.
eCampusOntario: Artificial Intelligence Fundamentals Micro-Course Series
The Artificial Intelligence Fundamentals Micro-Course Series is a free learning resource developed through eCampusOntario and Durham College. It is designed to help learners build confidence with AI and strengthen digital literacy skills.
eCampusOntario: Artificial Intelligence Fundamentals Micro-Course Series
eCampusOntario: Thriving in the Age of Artificial Intelligence
Thriving in the Age of Artificial Intelligence is a free course developed with support from eCampusOntario’s Virtual Learning Strategy. The updated version reflects recent developments in AI and generative AI, making it a useful Ontario-based resource for foundational AI learning.
eCampusOntario: Thriving in the Age of Artificial Intelligence
Harvard University: Introduction to Artificial Intelligence with Python
Introduction to Artificial Intelligence with Python is a free-to-audit edX course from HarvardX. It is more technical and explores foundational AI concepts and algorithms through Python, including topics connected to machine learning and modern AI systems. This is best suited for learners with coding experience or those interested in a deeper technical foundation.
Harvard University: Introduction to Artificial Intelligence with Python