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There is 1 module in this course
As part of the GenAI Academy, "GenAI for Product Managers in R&D" explores how Generative Artificial Intelligence (GenAI) is transforming the field of product management in research and development. This course is an introduction where learners will discover the key capabilities of GenAI and uncover practical strategies to leverage these powerful tools in their day-to-day product management work.
Through a combination of discussions, video demos, and guided hands-on activities, learners will gain an understanding of how GenAI can enhance productivity in areas such as idea generation and prototyping, market analysis and product personalization, development process automation, and product documentation.
This course is for team leads and managers identifying GenAI opportunities and guiding product development teams, product managers seeking to enhance workflows with GenAI, and aspiring product managers aiming to future-proof their skills and gain a competitive edge.
Participants should be familiar with product management concepts and workflows, including development processes, ideation, prototyping, and market analysis. Essential knowledge includes project management software and market research tools, along with experience in Agile and Lean methodologies. An open mindset towards Generative AI (GenAI) tools and curiosity about enhancing workflows with GenAI are crucial. While deep technical knowledge isn't required, some prior exposure to product management will help contextualize the course content.
This course is an introduction where learners will discover the key capabilities of GenAI and uncover practical strategies to leverage these powerful tools in their day-to-day product management work. Learners will also consider the ethical concerns surrounding the use of GenAI in product management, examining potential risks and challenges, as well as best practices for responsible implementation.
What's included
6 videos5 readings2 assignments
Show info about module content
6 videos•Total 50 minutes
Introduction to GenAI for Product Managers •12 minutes
History & Background for GenAI and Product Managers •8 minutes
Demo for Product Idea Generation and Market Trend Analysis with ChatGPT •5 minutes
Remediating Risks and Ethical Concerns•9 minutes
Demo for Performing a Basic Scientific Research on the Use of Wearables for Healthcare with Bing Chat•13 minutes
Closing Thoughts: What’s Next•2 minutes
5 readings•Total 45 minutes
Our Roadmap & Resources Available: How to Get Started•5 minutes
Glossary for GenAI and Product Managers•10 minutes
Demo for Product Idea Generation with ChatGPT•10 minutes
Demo for Scientific Research with Bing Copilot •10 minutes
Demo for Project Plan creation with Copilot for Microsoft 365•10 minutes
2 assignments•Total 50 minutes
Your Turn! Practicing Process Decisions with GenAI•30 minutes
GenAI for Product Managers •20 minutes
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What does integrating GenAI into product management work mean in this course?
It means using generative AI within everyday product tasks instead of treating AI as a separate technical specialty. The course shows how it can support idea generation, market analysis, prototyping support, process automation, and documentation while keeping human oversight in place.
When would you use this kind of GenAI support in product management?
You would use it when a product task involves exploring options, organizing early thinking, or drafting material for the team. In this course, that includes brainstorming new ideas, analyzing market signals, and preparing draft materials for product work.
How does this kind of GenAI support fit into a broader product workflow?
It fits mainly in the earlier and middle stages of product work, when you are developing ideas, gathering input, comparing possibilities, and preparing materials. The course presents GenAI as part of a connected workflow that still relies on human review, accountability, and final judgment.
How is this kind of GenAI support different from getting one-off answers from AI?
The course treats GenAI as something you guide through prompts, follow-up questions, and revision rather than a tool that simply gives a final answer. That makes it useful for iterative product work, where outputs need to be checked, refined, and adapted before use.
Do you need any prerequisites before learning this GenAI approach?
A basic understanding of product management concepts and workflows is helpful, especially around ideation, prototyping, market analysis, and development processes. No deep technical background is required, but familiarity with common project or research tools and an open mindset toward GenAI will help.
What tools, platforms, or methods are used in this course?
The course uses conversational GenAI tools, especially ChatGPT and Copilot tools, for research and drafting tasks. The main working methods are prompt writing and iterative refinement.
What specific tasks will you practice or complete in this course?
You will practice generating product ideas, researching market and product information, and turning AI output into early project plans and documentation. You will also refine prompts, ask follow-up questions, and review outputs for accuracy, ethics, and human accountability.