Don't just react to AI. Lead with it.
Artificial intelligence is transforming teaching, learning, assessment, and academic integrity across higher education. This three-course certification series builds the confidence, knowledge, and practical skills educators need to make informed, ethical, and pedagogically sound decisions — and apply them immediately in their own teaching practice.
Each course is about 10 hours, fully asynchronous, and built around reflection, real-world case studies, discussion, and community interaction — so you can learn at your own pace while engaging with fellow educators navigating the same shift. Take the series in full or choose individual courses to suit where you're at in your practice. Course 1 launches in July.
Course 1: AI Foundations for Educators
From confusion about AI → clarity on how it works
Build a practical, grounded understanding of generative AI — how it actually works, where it falls short, and what that means for your teaching. This course covers the fundamentals of generative AI and hallucinations; key ethical issues including bias, privacy, copyright, and environmental impact; effective prompting using the CRAFT framework; and a comparison of major AI tools (ChatGPT, Claude, Copilot, Gemini). It also examines some of the most pressing issues facing higher education today — academic integrity in a post-plagiarism era, the shift toward process-focused assessment, faculty workload, workforce readiness, and unequal access to AI tools — and how institutions around the world are responding, from policy models to governance structures. Through case studies, reflection, and community discussion, you'll leave with the judgment and confidence to use AI thoughtfully in your own teaching context.
You'll walk away with: a working understanding of how AI functions and where it fails, practical prompting skills you can use immediately, and a clear picture of how the field is responding to AI's biggest challenges.
Course 2: Defining Your AI-Enabled Practice
From uncertainty about your stance → a defined position
Move from understanding AI to defining your own stance on it. This course helps you clarify your beliefs about learning, effort, and academic integrity in an AI-enabled world, then guides you through building a clear position on AI use — what you allow, limit, and why. You'll turn that position into a ready-to-use AI statement for your syllabus, then apply it directly to two everyday areas of practice: using AI for lesson planning and curriculum design, and using AI for student communication and engagement.
You'll walk away with: a personal AI position, a finished syllabus statement, and one teaching shift you can implement right away.
Course 3: Assessment and Inclusive Practice
From policing AI use → designing around it
Apply everything you've built so far to the two highest-stakes areas of teaching: assessment and accessibility. Learn to align assessments with learning outcomes using Bloom's Taxonomy, apply the Red-Yellow-Green framework to decide when AI should be restricted, guided, or integrated into specific assessments, and redesign rubrics to reward thinking over polish. Then shift to accessibility, using AI to build inclusive materials — plain-language summaries, alt text, captions, translations — through a Universal Design for Learning lens, while learning to critically evaluate AI's own bias and equity gaps.
You'll walk away with: a redesigned assessment, a revised rubric, a Red-Yellow-Green plan for your course, and a set of AI-supported accessibility materials.