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A few years ago, AI felt like sci-fi—or at best, the domain of specialized data-science teams. Then ChatGPT arrived, DALL·E reshaped image generation, and product managers suddenly had direct, hands-on encounters with Generative AI. The shift turned theory into something real and tangible.
For me, that raised a crucial question: how can product managers without deep coding or ML backgrounds truly harness this power? How does one move from observer to builder in an AI-first world?
That question led to “GenAI Product Management: Problem to Build No-Code Prototype” on Udemy. The series moves from the “what” to the “how,” designed specifically for product leaders.
Key takeaways:
Link to the course: https://www.udemy.com/course/genai-product-management-problem-to-build-no-code-prototype/?referralCode=7A280E6A7E808D294995
By Madhumita MantriA few years ago, AI felt like sci-fi—or at best, the domain of specialized data-science teams. Then ChatGPT arrived, DALL·E reshaped image generation, and product managers suddenly had direct, hands-on encounters with Generative AI. The shift turned theory into something real and tangible.
For me, that raised a crucial question: how can product managers without deep coding or ML backgrounds truly harness this power? How does one move from observer to builder in an AI-first world?
That question led to “GenAI Product Management: Problem to Build No-Code Prototype” on Udemy. The series moves from the “what” to the “how,” designed specifically for product leaders.
Key takeaways:
Link to the course: https://www.udemy.com/course/genai-product-management-problem-to-build-no-code-prototype/?referralCode=7A280E6A7E808D294995