Leaders in Online and Professional Continuing Education

UPCEA AI Lab: AI for Teaching and Learning Design - June 2027

Faculty Betsy Gilbertson
and Shawdra Bowers
Format One Week
Live Sessions Two Sessions
Cost $189

Course Description

This one-week, hands-on course introduces participants to the practical application of artificial intelligence in course design. Learners will explore foundational AI concepts, examine ethical considerations and intellectual property issues, and evaluate how AI is shaping teaching and learning in higher education.

Through guided activities and discussions, learners will apply AI tools to design course content, develop assessments, and enhance student engagement. The course emphasizes real-world use, helping participants build strategies for integrating AI into their own instructional contexts while planning for continuous improvement as technologies evolve.

Focused, Hands-On Learning

This accelerated AI Lab combines practical activities, peer discussion, and two synchronous sessions within one week. Participants will test tools and approaches they can adapt to their own course development, instructional design, and faculty support work.

What You Will Explore

AI in Course Design

Examine appropriate uses of AI throughout the instructional design and course development process, from early planning through continuous improvement.

Content, Assessment, and Engagement

Apply AI tools and prompting techniques to create and refine instructional content, develop assessments, and support meaningful learner engagement.

Responsible Institutional Adoption

Evaluate AI tools for effectiveness, ethics, accessibility, intellectual property considerations, and alignment with institutional needs.

Learning Outcomes

Upon successful completion of this course, participants will be able to:

  • Evaluate appropriate uses of artificial intelligence throughout the instructional design and course development process.
  • Apply AI tools and effective prompting techniques to create, refine, and enhance instructional content.
  • Assess AI-powered instructional design and learner engagement tools for effectiveness, ethics, accessibility, and institutional fit.
  • Develop strategies for engaging and supporting faculty in the responsible adoption of AI-enhanced teaching and learning practices.
  • Create an AI-informed course design and continuous improvement plan that integrates AI to enhance learning experiences while maintaining sound instructional design principles.

Course Structure and Expectations

This one-week online course combines focused asynchronous activities with two synchronous sessions. Participants will engage with practical examples, guided tool exploration, collaborative discussion, and applied planning activities.

Asynchronous Activities

Complete concise lessons, tool-based exercises, readings, and reflection activities throughout the week.

Two Live Sessions

Participate in two synchronous sessions for demonstrations, guided practice, discussion, peer exchange, and faculty support.

Applied Design Planning

Create an AI-informed course design and continuous improvement plan that can be adapted to your own instructional or institutional context.

Designed for immediate application: Participants will work with practical course design challenges and leave with strategies, prompts, evaluation criteria, and planning tools they can use in their own work.

Who Should Enroll?

This course is designed for professionals who develop, support, or lead teaching and learning initiatives and want to make informed, responsible use of AI in course design and instructional practice.

Instructional Designers

Explore practical uses of AI for course planning, content development, assessment design, learner engagement, and continuous improvement.

Faculty Developers and Academic Support Professionals

Build strategies for helping faculty evaluate and adopt AI-enhanced teaching practices responsibly and effectively.

Online Learning and Academic Leaders

Strengthen your ability to assess tools, guide institutional conversations, and support sustainable AI integration across teaching and learning.

No advanced technical experience is required. Participants should be prepared to experiment with AI tools and consider how they could be applied within a course, program, faculty development effort, or instructional support context.
Components visible upon registration.