Jim Amos

    Jim Amos

    3 reviews

    Development · English

    Compare this creator

    Average star rating

    4.7

    Programs

    1

    Reviews

    3

    Who Is Jim Amos?

    Jim Amos is a human-first CTO with over 20 years in software engineering and management. Based in Alexandria, Virginia, he currently serves as CTO for the Human Intelligence™ Institute and previously worked as a senior developer at Campbell-Ewald and The Motley Fool. He writes the "Human-centered Management" newsletter and teaches AI literacy for business leaders.

    Overview of Jim Amos

    CategoryDevelopment
    LanguageEnglish
    BornNot publicly disclosed
    Based inAlexandria, Virginia
    Active since20 years
    Est. net worth*Not publicly disclosed
    Social links
    Visit websitelinkedin

    * Based on public sources, unverified.

    Reviews & Rating

    See all reviews
    4.7/5

    3 reviews

    Rating breakdown

    67%
    33%
    0%
    0%
    0%

    • Erik

      5/5

      My result

      It's an excellent course that looks beyond the hype, and it gives a realistic view on AI.

      Pros

      Practical contentHigh availabilityReal experience

      About the creator

      not applicable.

    • Dom

      5/5

      My result

      Refreshing take on AI. Remember, AI isn't all sunshine and roses.

      Pros

      Clear explanationsCommunity supportFast results

      About the creator

      not applicable.

    • Jeff

      4/5

      My result

      I found significant value in the experience. I highly recommend this course to others!

      Pros

      Clear explanationsFast resultsReal experience

      About the creator

      Jim did an excellent job researching the course content and he delivered it with great…

    Jim Amos's Programs

    AR
    Highest rated
    AI Reality Check for LeadersSoftware Engineering

    4.7 · 3 reviews

    AI Reality Check for Leaders is a short, 2-day live course aimed at helping executives and decision-makers separate genuine AI value from hype and marketing noise. Drawing on cautionary case studies (like Nike's robotics missteps and Starbucks' costly AI rollback), it covers how AI systems actually work, the psychology behind chatbot design, AI FOMO, and realistic expectations for AI in the workplace. It's explicitly not a technical deep dive into LLMs or prompt engineering, but rather a critical-thinking and leadership-focused course.

    View course

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