CONTINUING EDUCATION

AI FOR WORKING
PROFESSIONALS

Explore AI for Working Professionals

AI for Working Professionals

This course equips working professionals with the knowledge and hands-on skills to integrate artificial intelligence into their daily work. Rather than focusing on technical development or coding, the course emphasizes practical application - learning to use AI tools strategically, ethically, and effectively across a range of professional contexts.

Participants will leave with a personalized AI toolkit, a portfolio of applied projects, and a critical framework for evaluating emerging AI capabilities.

Learning Outcomes

1
Articulate how generative AI, machine learning, and automation tools function at a conceptual level sufficient for informed professional use.
2
Apply AI-powered tools to authentic workplace tasks including writing, research, data analysis, communication, and project management.
3
Craft effective prompts and structured workflows that produce reliable, high-quality AI outputs.
4
Evaluate AI-generated content for accuracy, bias, and appropriateness within professional and ethical standards.
5
Develop a personalized AI integration plan aligned with their professional role and industry context.
6
Navigate organizational, legal, and ethical considerations surrounding AI adoption in the workplace.

Program at a Glance

  • Instructor:
    Mitch Kase, EdD
  • Format:
    Live via Zoom
  • Tuition:
    TBD
  • Duration:
    5 Weeks
Materials

All tools and platforms used in this course offer free tiers or trial access. A list of accounts to create will be provided in Week 1. Recommended readings will be provided as open-access resources.

Course Text:
Mollick, E. (2024). Co-Intelligence: Living and Working with AI. Portfolio/Penguin.

Questions?

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Weekly Schedule

Week 1

Foundations: AI Basics and the Professional Landscape

  • Demystifying AI: generative AI, machine learning, large language models, and automation.
  • The current AI ecosystem: major platforms, capabilities, limitations, and how large language models actually work.
  • Prompt engineering as a professional skill: role, context, task, format, and constraints.
  • Activity: AI tool audit and prompt challenge.
Resources:
  • Mollick, E. (2024). "Being" and "Creating." Chapters 1-2 in Co-Intelligence.
  • Anthropic. (2024). "Prompt Engineering Guide."
  • Stanford University HAI. (2025). AI Index Report 2025.
  • Video: IBM Technology. "What Is Generative AI?"
  • Video: 3Blue1Brown. "But What Is a GPT?"
Week 2

Writing, Communication, and Research

  • AI-assisted writing: drafting, editing, summarizing, and adapting tone for audience.
  • When AI writing helps and when it undermines credibility; preserving your own voice.
  • AI-powered research and synthesis: search, literature review, and building knowledge workflows.
  • Evaluating sources and verifying AI-generated claims.
  • Activity: Use AI to draft, revise, and finalize a professional document.
Resources:
  • Mollick, E. (2024). "Working." Chapter 5 in Co-Intelligence.
  • Lund, B. D., et al. (2023). "ChatGPT and a New Academic Reality."
  • Mollick, E. "One Useful Thing" Substack.
  • Video: Thomas Frank. "How I Use AI to Write."
  • Video: Perplexity AI. "How to Use Perplexity for Professional Research."
Week 3

Data, Automation, and Visual Content

  • Using AI to interpret spreadsheets, generate charts, and surface insights.
  • Workflow automation: scheduling, reporting, follow-ups, and no-code automations.
  • AI-enhanced presentations and visual content.
  • Activity: Generate an insight memo with visualizations and prototype a workflow automation.
Resources:
  • Davenport & Ronanki. (2018). "Artificial Intelligence for the Real World." HBR.
  • Microsoft. (2024). "Copilot in Excel: Getting Started."
  • Zapier. (2024). "The Beginner's Guide to AI Automation."
  • Video: Luke Barousse. "Using AI for Data Analysis (No Coding Required)."
  • Video: Gamma. "Create Presentations with AI in Minutes."
Week 4

Ethics, Judgment, and the Legal Landscape

  • Algorithmic bias: where it comes from and how it shows up in professional contexts.
  • AI as decision-support versus decision-maker: calibrating confidence.
  • The legal and regulatory landscape: intellectual property and copyright.
  • Organizational AI policies.
  • Activity: Draft an AI acceptable use policy for your team or organization.
Resources:
  • Buolamwini & Gebru. (2018). "Gender Shades."
  • Mollick, E. (2024). "Aligning." Chapter 7 in Co-Intelligence.
  • U.S. Copyright Office. (2023). "Copyright Registration Guidance."
  • Video: Buolamwini, J. (2017). "How I'm Fighting Bias in Algorithms."
  • Video: The AI Explained. "The EU AI Act Explained in 15 Minutes."
Week 5

Leading Adoption, Your Toolkit, and Capstone

  • Change management for AI integration: overcoming resistance and building buy-in.
  • Building your personal AI toolkit: auditing your workflow and selecting tools.
  • Capstone presentations: applied AI projects and integration plans.
  • Activity: Develop a one-page AI adoption proposal and present your capstone.
Resources:
  • Fountaine, et al. (2019). "Building the AI-Powered Organization." HBR.
  • Mollick, E. (2024). "Unleashing." Chapter 4 in Co-Intelligence.
  • Amodei, D. (2024). "Machines of Loving Grace."
  • Video: Mollick, E. "What Organizations Get Wrong about AI Adoption."
  • Video: Mollick, E. "Where Is AI Going?"

Grading Structure

Component Weight
Participation and weekly activities 30%
Applied project milestones (Weeks 6 and 10) 20%
AI acceptable use policy or adoption proposal (Week 9 or 12) 15%
Capstone applied project and presentation 35%
Total 100%

Ready to Transform Your Workflow?

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