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Gen AI Design Thinking Workshop for Artist Engineers

$1,987 for 1-day workshop

$3,974 for 2-day workshop

Why This Course Matters

As more school districts embrace work-based learning programs, the challenge for educators is finding activities with trusted partners that are both engaging for students and relevant to the jobs of tomorrow.

We empower students with skills in coding, creative problem solving, AI prompting, consulting and product design through our Gen AI Design Thinking Workshop. This is a 1 to 2-day in person event with 2 hours of virtual learning pre-work.

As a capstone project, students will apply their skills and knowledge to design a product recommendation for incorporating Generative AI into CS education and education technology platforms.

Flipped Classroom: Learning to Create Music with Code and AI (2-hour Virtual Class Pre-Work)

Prior to the workshop, students will participate in a 2-hour virtual class to learn to create music using EarSketch (earsketch.gatech.edu), a free educational programming environment. Its core purpose is to teach coding through music composing and remixing. This learning environment was developed first at Georgia Institute of Technology. Students will learn to code in two modes: assisted by generative AI and unassisted. 

Work-Based Experience: Gen AI Product Design Challenge (1 or 2-day workshop)

During the in-person workshop, students will learn design thinking, a human-centered, iterative approach to problem-solving that prioritizes understanding user needs, generating creative solutions, and testing them through prototyping and feedback. After establishing a baseline understanding on the topics, the curriculum and the EarSketch platform, students will work in teams acting as both consultants and as a focus group to create a recommendation on how to integrate generative AI into the curriculum and the EarSketch platform to meet the needs of all stakeholders (teachers, students, parents, EarSketch and the Artist Engineers curriculum).

Grounded in research on project-based learning, dual-coding, and AI literacy, this course equips you to:

  • Foster deep engagement by giving students the opportunity to take ownership of the changes they want to see in a product.

  • Honor diverse strengths through an egalitarian approach to design thinking through brain writing, passing the baton and other inclusive methods to make sure every voice is heard.

  • Build ethical AI skills through guided reflection on prompts, outputs, and the concerns of key stakeholders related to the integration of AI in education.

Who Should Enroll

  • High school teachers in STEAM, computer science, music, or art.

  • Educators seeking turnkey, standards-aligned curricula that spark student creativity in a work-based learning environment.

  • Instructional coaches & curriculum specialists ready to explore innovative approaches to STEAM.

What You’ll Receive

  1. Virtual Pre-Work Lesson and Lesson Plan:
    Step-by-step 2-hour virtual session teaching AI-assisted and unassisted coding and how to apply their new skills in Python coding to create music followed by a brief introduction to design thinking.

  2. One or two days of in person workshop facilitation for up to 25 students.

  3. Access to the recordings online.

  4. Course Overview & Pacing Guide:
    A roadmap aligning pre-work, workshop phases, and capstone with timing and objectives.

  5. In-Person Workshop Lesson Plans:
    Detailed 45-minute design thinking and coding modules for empathize, ideate, prototype, and test.

  6. Slide Decks & Visual Aids:
    Engaging dual-coded presentations, empathy maps, and templates reinforcing key design thinking and coding concepts.

  7. EarSketch Code Templates:
    Pre-built beat loops and AI prompts for creative experimentation and remixing.

  8. Design Thinking Toolkit:
    Hands-on empathy maps, “How Might We” cards, and prototyping templates for human-centered ideation.

  9. Capstone Project Brief & Rubrics:
    Clear project guidelines, assessment criteria, and scoring rubrics for student product recommendations.

  10. AI Integration & Ethics Guide:
    Best practices, case studies, and reflection prompts fostering responsible generative AI use in education.

  11. Facilitation & Troubleshooting Guide:
    Strategies for supporting learners through coding errors, design hiccups, and AI prompting challenges.

  12. Teacher Onboarding & PD Videos:
    Instructional screencasts modeling facilitation techniques, pacing, question prompts, and troubleshooting workflows.

Plus access to our private Instructor Community, where you’ll share adaptations, cultural connections, and success stories.