Dennis Yang

    GenAI Product Development: Practical Skills & Processes

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    Video Editing · Online Course

    Online Course

    Learning format

    Subcategory

    $700

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Evaluating GenAI tools, APIs, and platforms
    • Creating scalable, cost-effective AI product MVPs
    • Assessing AI risks, ethics, and compliance
    • Pitching GenAI projects to secure stakeholder buy-in
    • Navigating build vs. buy AI decisions
    • Identifying high-value GenAI opportunities strategically

    Best For

    • Those wanting applied, hands-on frameworks
    • Product managers navigating build vs. buy
    • Technical leaders bridging AI and product
    • Product leaders integrating GenAI strategy

    Not For

    • Complete beginners to product management
    • Leaders wanting slow-paced, theoretical content
    • People wanting 1:1 coaching specifically
    • Those wanting a general AI introduction

    FAQ

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    About the creator

    Product Management Education · San Francisco, California

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    Dennis Yang
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    Dennis Yang is GenAI Product Lead at Chime, based in San Francisco, with a Mechanical Engineering degree from Cornell University. A 3x co-founder (Dashbot, Bureau of Trade, Techdirt) with 3 acquisitions, he was the 9th employee at both Infochimps and mySimon, and previously worked at CNET Networks and eBay before pivoting fully into GenAI product leadership.

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    Reviews, Scores & Student Outcomes

    Unclaimed Profile

    This course teaches product and technical leaders to scope, build, pitch, and launch GenAI products using practical frameworks: build vs. buy decisions, MVP scoping, risk and compliance evaluation, and stakeholder buy-in strategies. Through hands-on exercises, pitch simulations, and a real case study (GenAI Document Extraction), it covers the full lifecycle from prototyping through evaluation, improvement, and launch, explicitly positioned as applied strategy and execution rather than a general AI introduction.

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