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Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
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
Dennis Yang
View full profileProduct Management Education · San Francisco, California
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 ProfileThis 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.
Ratings & reviews
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