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Coursera

GenAI for Product Managers

Coursera Instructor Network via Coursera

Overview

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.

Syllabus

  • Unlocking GenAI for Product Managers
    • 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.

Taught by

Alfonso Rodríguez Cotes

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