Blueprint for impact
Get a look at the pillars shaping this course.
While development is still underway, these highlights offer an early look at the skills and outcomes you’ll be working toward:
Flexible. Applied. Built for business.
Exploring this for your team, not just yourself? You’re in the right place. This course is still in development, making it an ideal time to explore how it could support your workforce goals. Whether you're planning ahead or seeking a strategic fit, we’ll help tailor the experience so it delivers value for your team from day one.
AI Ideation: Applied Workflow
Learn a structured AI ideation process you can use end to end—turning challenges into better options, clearer choices, and useful next moves.
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Description
Apply AI within a guided ideation process that helps move from challenge framing to better options and clear paths forward. This workshop shows participants how to use AI more intentionally during the messy middle of idea development, not just at the prompt stage. Building on foundational AI habits, we show how to move from challenge framing to option generation, refinement, and selection—using AI at the right moments to expand thinking, surface assumptions, and support alignment.
The focus is on repeatability and usefulness: defining steps, checkpoints, and outputs so results are easier to review, compare, and reuse. Participants see how prompt patterns map to each stage of the process, how goals, constraints, and success criteria improve option quality, and where quick verification checks and redirects belong so outputs are easier to assess and more usable. We also preview how a prompt-based workflow can evolve into an assistant when that approach makes sense—without requiring a specific platform.
Participants leave with a clear process they can carry into their own work after the session, along with a prompt sequence that helps reduce idea churn, improve output quality, and move projects forward faster.
Outcomes
Each outcome is taught through applied practice, so you can use the workflow immediately.
- Frame challenges for better AI-supported ideation
Clarify the problem, context, and constraints so the work starts in the right place. - Move from early prompts to refined options
Use a structured process to go from exploration to better-developed directions. - Use constraints to improve idea quality
Apply goals, limits, and success criteria to make outputs more relevant, varied, and useful. - Build quick checks into the process
Use verification habits, red-flag checks, and prompt adjustments to improve trust and usefulness. - Define outputs and checkpoints that support review
Identify the steps and handoffs that make the work easier to assess, share, and improve over time. - Recognize when a workflow is ready to become an assistant
See how a prompt-based process can be packaged into a more reusable tool—and when that step is worth taking.
The Learning Experience
This in-person, 4-hour workshop is demo-led and workflow-focused; no laptop is required. It’s best if you’ve completed AI Ideation: Ideas, Prompts & Proof, or already have basic experience using an AI chat tool and can provide clear inputs such as goals, context, and constraints. You’ll watch the process run from start to finish, see how prompts map to each step, and learn where checkpoints, redirects, and quick verification habits improve results. You’ll leave with a clear method you can use in your own tools after the session.
Cost
Enroll now
You will be directed to our secure course registration and payment system.
If you need assistance with registration, our team is here to help. Contact us at (585) 475-2400 or certified@rit.edu.
Ready when you are
This course is not currently open for enrollment, but that doesn’t mean the opportunity has to wait.
If this course aligns with your goals or your team’s needs, let us know. Your interest helps us plan future sessions and may even accelerate the timeline. We also offer custom options for organizations looking to run tailored versions of this experience.
Hear from the experts
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Insight
Value
Meet Your Instructors
Our workshops are led by practitioners who pair real-world workflow experience with evidence-based learning design—so sessions are practical, engaging, and immediately applicable.
Thérèse Hannigan is a designer, strategist, and longtime business owner who has spent decades leading client projects and building human-centered digital experiences across industries. She now integrates AI into the same creative and strategic workflows—framing problems, synthesizing inputs, developing messaging, and iterating ideas—so teams can move faster with more clarity and stronger outcomes. She founded and led a design/UX studio acquired in 2019 and is a tenured faculty member in RIT’s College of Art and Design.
Mark Ferguson is an instructional designer, educational technologist, and experienced educator with over 15 years in education, including a decade focused on faculty development, online learning, and higher education innovation. He specializes in designing and facilitating high-impact workshops for adult learners, grounded in evidence-based instructional design and adult learning theory. His work blends deep expertise in curriculum design and emerging technologies—including AI—with coaching and collaborative program development.
For Teams & Employers
We offer private delivery for teams and cohorts. You’ll get the same curriculum aligned to your roles, tools, and standards, with the option to incorporate your policies and review context. Teams often use this workshop to install a repeatable ideation process with shared checkpoints and quality standards—reducing idea churn and accelerating early-stage alignment. Optional follow-up working sessions are available to support implementation on real projects.
Want to explore private delivery or a cohort? Contact us to discuss timing, tailoring, and options.
Pathways and certificates
This course is part of a broader mastery certificate.
Explore how it fits into a full learning journey.
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