Designing & Teaching An Introductory Course on Generative AI: A Practical Framework for Business Faculty

Welcome! If you attended my AOM 2025 poster session, you’re in the right place. This page houses the key materials, resources, and next steps from my 16-week, non-coding course on generative AI for business undergraduates.

📘 Textbook Pending

Foundations of Generative AI

I’ve partnered with Great River Learning to publish a digital textbook based on my course design. This digital textbook equips college students with the generative AI literacy needed to thrive in today’s evolving workplace. Designed for non-technical students, the book blends foundational concepts with real-world applications, ethical reasoning, and scaffolded skill-building in prompt engineering. Structured around a 16-week course, each chapter includes engaging case studies, interactive assignments, and critical reflection prompts to help students move beyond passive tool use and toward intentional, responsible AI adoption.

In production. Expected completion: December 2025.

🔔 Want to be notified when it’s released?

🧰 Course Resources

  • Download a Word document ready to be personalized.

  • Word document for students to use to develop personal code of ethics. Require students to consider how each section contributes to their learning and understanding, then list specific ways they could use generative AI to support learning as well as rules for how NOT to use generative AI.

  • You are a [ROLE]. You are [CHARACTERISTICS]. Your ultimate goal is to [GOAL].

    <instructions>
    Your task is to [TASK].

    1. [STEP 1]

    2. [STEP 2]

    3. …..

    </instructions>

    <context>

    [CONTEXT]

    </context>

  • Design a custom GPT from scratch for a new use case.

    The use case must be pre-approved by me. I want to set you up for success.

    The chatbot must:

    • The use case must be related to your education or desired profession in a significant way. 

    • Include an attached file (RAG).

    If you choose to do a learning experience, the chatbot must:

    • Accomplish a learning objective. 

    • Be tailored to your  personal interests / passions. 

    • Be engaging and immersive.

    • Be ethical.

    In your learning journal, provide the following:

    1. THINK & PLAN

      Describe how you want the chatbot to behave / explain the experience you want to create for the user.

      ➡️ 

    2. ORIGINAL PROMPT

      Build a prompt using all 5 building blocks and at least 1 advanced prompt engineering technique. You must also attach a file that you instruct the model to refer to.

      ➡️ 

    3. DISCUSSION

      Test your prompt. Analyze the prompt's performance. In terms of meeting the state goals, what did ChatGPT do well? What did it miss or not do well? Explain.

      ➡️ 

    4. FINAL PROMPT & CHATBOT LINK

      Revise and retest the prompt until you get the desired outcome. Paste the final prompt and link to the Chatbot below.

      ➡️ 

    5. DISCUSSION

      Explain the changes you made and how they improve the prompt’s effectiveness in terms of meeting the stated goals.

      ➡️ 

    6. REFLECTION

      What's 1 new thing you learned about effective prompt engineering through this exercise?

      ➡️ 

    7. REFLECTION

      What was most challenging this time about crafting an effective prompt? Explain.

      ➡️ 

    8. REFLECTION

      How did your understanding of prompt engineering evolve through this practice? Explain.

      ➡️ 

    9. REFLECTION

      What questions did you run into or do you still have? Write them down now.

      ➡️ 

  • Once students learn how to prompt engineer effectively, this course empowers students to use generative AI to build immersive, interactive learning experiences. Below is an example of the type of immersive, personalized learning experience they are able to build:
    https://chatgpt.com/g/g-67c3702effa08191b273d67e9da91be3-handling-sales-objections

🤝 Stay Connected

Use hashtag #AOM2025 and #TeachingGenAI to collaborate.

🔗 Connect on X



I’m forming a private LinkedIn group for faculty who want to collaborate, share ideas, and troubleshoot implementation challenges together. I am happy to share more specific resources here!

🔗 Request to Join the LinkedIn Group

✨ Questions or Collaborations?

Let’s connect. I’d love to hear how you’re thinking about generative AI in your teaching.

📧 Email Me

🔗 Connect on LinkedIn →