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Alfonso Rodríguez Cotes

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.

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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.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Suitable for aspiring product managers who want to gain an edge and prepare for the future
Fits team leads and managers who seek GenAI opportunities, guide product development teams
Appropriate for product managers aiming to enhance workflows with Generative AI (GenAI)
Relevant for those with product management experience, familiar with project management software, market research tools, Agile, and Lean
Requires essential knowledge of product management concepts, workflows, ideation, prototyping, and market analysis
Assumes an open mindset towards Generative AI (GenAI) tools and curiosity about enhancing workflows

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Reviews summary

Genai for product managers: a practical introduction

According to students, 'GenAI for Product Managers' offers a solid and practical introduction to leveraging Generative AI in product management workflows. Learners frequently highlight the clear explanations, helpful video demos, and engaging discussions as particular strengths. Many found the course content to be actionable, especially in areas like ideation, prototyping, and product personalization. A significant number of reviewers also appreciated the insightful section on ethical considerations and responsible GenAI implementation. However, some experienced product managers found the course to be too basic, wishing for more in-depth case studies or advanced scenarios. A few recent reviews also mentioned that certain tools or information might feel outdated.
Covers responsible GenAI implementation.
"Fantastic! The ethical considerations section was incredibly insightful and timely."
"The instructor clearly articulated the risks and best practices. This course definitely enhanced my understanding..."
"I appreciate the focus on responsible GenAI, it's a crucial aspect often overlooked in other courses."
Provides a clear overview for new learners.
"This course is an excellent introduction to GenAI for PMs! ... I particularly enjoyed the video demos; they made complex concepts easy to grasp."
"A very concise and helpful course for PMs. It touches on key areas like automation and documentation effectively."
"Good overview, covered the basics well. It's truly an introduction, so don't expect to become an expert."
Focuses on actionable GenAI strategies.
"This course is an excellent introduction to GenAI for PMs! The way they framed GenAI's impact on ideation and prototyping was spot on."
"Loved the practical focus! As a PM, I'm always looking for ways to improve workflows, and this course delivered."
"I found the strategies to leverage GenAI truly helpful and easy to apply to my day-to-day product management work."
Some material may need updating.
"The course content was generally informative, but some of the tools mentioned felt a bit outdated..."
"While it covered 'introduction', I felt some areas like market analysis could have been explored with more practical depth."
"The rapid evolution of AI means some parts of the course could benefit from a refresh to reflect current tools."
May be too basic for experienced professionals.
"Useful for new PMs, but seasoned pros might find it a bit basic."
"I found this course somewhat superficial. The hands-on parts were too simplistic and didn't really challenge me."
"If you're already familiar with basic GenAI concepts, you might not get much out of it. Disappointed with the lack of depth."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in GenAI for Product Managers with these activities:
Review your knowledge of product management concepts
Brush up on your understanding of core product management concepts to ensure a strong foundation for the course.
Show steps
  • Review your notes or textbooks from previous product management courses
  • Take practice quizzes or tests to assess your understanding
  • Attend a refresher workshop or online training
Review core product management concepts and methodologies
Refreshing core principles strengthens your understanding of GenAI's role and potential impact in product management.
Browse courses on Product Management
Show steps
  • Review books and articles
  • Attend workshops or online courses
Attend webinars and meetups focused on GenAI for product managers
Networking events provide opportunities to connect with peers, share knowledge, and explore GenAI applications in product management.
Browse courses on Networking
Show steps
  • Identify relevant webinars and meetups
  • Register and attend
  • Network with attendees
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Connect with industry experts and practitioners in GenAI
Industry experts can offer valuable insights, guidance, and support, helping you stay updated and navigate the rapidly evolving field of GenAI in product management.
Browse courses on Mentorship
Show steps
  • Attend industry events and conferences
  • Reach out to potential mentors via LinkedIn or email
  • Set up informational interviews
Review Agile Methodologies
Review key concepts and practices of Agile methodologies to strengthen your understanding of product management workflows.
Browse courses on Agile
Show steps
  • Revisit the principles and values of Agile methodologies.
  • Summarize the different Agile frameworks, such as Scrum and Kanban.
  • Practice using Agile tools and techniques in a simulated environment.
Explore Best Practices for Ethical GenAI Implementation
Engage with tutorials and resources to gain insights into ethical considerations and best practices for using GenAI in product management.
Browse courses on GenAI
Show steps
  • Identify potential risks and challenges associated with GenAI use.
  • Review industry guidelines and frameworks for ethical AI development.
  • Explore case studies and examples of responsible GenAI implementation.
Practice using GenAI tools for idea generation
GenAI tools can fuel creative thinking and ideation. Hands-on practice will increase familiarity and boost innovative potential.
Browse courses on Idea Generation
Show steps
  • Explore GenAI platforms and their capabilities
  • Generate ideas using prompts and experiment with different parameters
  • Evaluate and refine generated ideas
Complete tutorials on GenAI applications in product design
Guided tutorials provide structured learning and practical examples, enabling you to apply GenAI techniques in design processes.
Browse courses on Product Design
Show steps
  • Identify relevant GenAI tools and use cases
  • Follow tutorials to create prototypes and improve designs
Create a GenAI-Powered Idea Generation Tool
Build a practical tool that leverages GenAI's capabilities to generate innovative product ideas.
Browse courses on GenAI
Show steps
  • Identify the specific product domain or industry for your tool.
  • Research and select a suitable GenAI model for idea generation.
  • Develop a user-friendly interface for your tool.
  • Integrate the GenAI model into your tool and test its functionality.
Create a blog post or presentation on GenAI in product management
Creating content forces you to synthesize and present knowledge, enhancing understanding and retention of GenAI concepts and applications in product management.
Browse courses on Product Management
Show steps
  • Research and gather information
  • Develop an outline and structure
  • Write or design the content
  • Edit, revise, and finalize
Contribute to GenAI open-source projects or communities
Contributing to open-source projects provides real-world experience, enhances technical skills, and fosters innovation in the GenAI field.
Browse courses on Open Source
Show steps
  • Identify relevant projects or communities
  • Review documentation and codebase
  • Make code contributions or participate in discussions

Career center

Learners who complete GenAI for Product Managers will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in GenAI for Product Managers.
As a comprehensive reference, this book covers the full spectrum of generative AI, from foundational concepts to advanced techniques and applications, providing a deep understanding of the field.
Written by one of the pioneers of GANs, this book introduces the fundamental concepts and techniques of generative adversarial networks, with a focus on practical applications.
Melissa Perri addresses the common pitfall of focusing on output (features built) rather than outcomes (value delivered to customers and the business). provides strategies for shifting to an outcome-driven product organization. It's highly relevant for contemporary product management challenges and helps solidify understanding of value creation.
Provides a practical, step-by-step guide to applying Lean Startup principles to product development. It focuses on innovating with Minimum Viable Products (MVPs) and leveraging customer feedback for product-market fit. It's an excellent resource for gaining a practical understanding of lean methodologies in product management.
Offers a hands-on approach to understanding LLMs by guiding you through building one from the ground up using Python and PyTorch. It provides deep insight into the internal workings of these models. This is an excellent resource for those with a technical background looking for a comprehensive understanding of LLM architecture and implementation.
Focuses on integrating continuous discovery practices into the product development process. It provides actionable techniques for ongoing customer interviews and experimentation to ensure teams are building the right products. It's a valuable resource for deepening understanding of customer-centric product management and is highly relevant to contemporary practices.
This practical guide teaches you how to conduct effective customer interviews to gather unbiased feedback and validate product ideas. It's essential for product discovery and understanding customer needs. helps solidify understanding of customer research techniques.
A follow-up to 'Inspired,' this book focuses on building and leading empowered product teams. It delves into the organizational aspects of product management and how to create a culture of innovation. While building on foundational concepts, it offers deeper insights into product leadership and team dynamics, making it valuable for those looking to deepen their understanding.
Focuses specifically on prompt engineering, a crucial skill for effectively utilizing GenAI models like LLMs. It provides practical techniques and principles for crafting effective prompts to achieve desired outputs. This is highly relevant to the practical application of GenAI and is valuable for anyone working directly with these models.
Reinforces the importance of focusing on customer behavior and desired outcomes rather than simply delivering features. It provides a framework for identifying and measuring the right metrics to ensure product efforts drive real value. It's highly relevant to contemporary product management practices.
Provides a comprehensive overview of the product development process, from ideation to launch. It is written by two of the leading experts in marketing and innovation.
Focuses on using LangChain, a framework for developing applications powered by language models. It's a practical guide for building GenAI applications that integrate LLMs. This is valuable for developers and practitioners looking to build complex GenAI workflows.
Delves into the emerging field of Product Operations, explaining how it helps streamline product development processes, improve communication, and enable product teams to scale effectively. It's highly relevant for understanding contemporary challenges in larger product organizations.
Focuses on the practical application of Transformer models, which are integral to modern LLMs and GenAI. It provides hands-on experience using the popular Hugging Face library. This is an excellent resource for those looking to deepen their understanding of the technical aspects of GenAI and is highly valuable for professionals and students interested in building GenAI applications.
Specifically addresses the challenge of aligning AI systems with human intentions and values, a critical issue in the development of reliable and beneficial GenAI. It explores various approaches and the potential pitfalls. This provides deeper insight into a key contemporary challenge in AI.
Specifically addresses the unique challenges and considerations of managing AI-powered products. It covers topics such as understanding AI technologies, defining AI product strategies, and working with data science teams. It's highly relevant for product managers working on or interested in contemporary AI products.
A significant book discussing the long-term future of AI and the challenges of ensuring that advanced AI systems are aligned with human values. This is highly relevant to the future direction and safety of powerful GenAI models. It's a must-read for those considering the broader implications of AI development.
Based on interviews with successful product leaders, this book explores the traits, techniques, and challenges of leading product teams and delivering successful products. It's a valuable resource for those aspiring to or currently in product leadership roles, offering insights to deepen their understanding.
Offers practical guidance on creating and evolving product strategies and roadmaps in a lean and agile environment. It provides a structured approach to strategic product management and is valuable for deepening understanding in this area.
Provides a practical guide to applying generative AI in enterprise contexts, covering principles and applications like generating text and images. It's useful for understanding the real-world uses of GenAI. This is valuable for professionals interested in implementing GenAI solutions.
Based on Product School's curriculum, this book offers a comprehensive guide to the product management role, covering essential concepts and practices from ideation to launch. It's a solid resource for gaining a broad understanding and is often recommended for aspiring product managers.
This hands-on guide focuses on leveraging ChatGPT and OpenAI technologies for productivity and creativity, covering prompt engineering and building custom GPTs. It's a practical resource for utilizing existing GenAI tools. This is particularly useful for individuals and professionals looking to apply GenAI in their daily tasks.
Offers a realistic and practical look at the day-to-day challenges and realities of working as a product manager. It complements more theoretical books by providing actionable advice and insights into common scenarios. It's particularly useful for gaining a practical understanding of the role.
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Written by the creator of the iPod and Nest, this book offers insights and lessons learned from building iconic products. It provides a blend of personal stories and practical advice on various aspects of product development, leadership, and innovation. It's relevant for understanding the mindset behind creating successful products.
A widely referenced and comprehensive textbook in Natural Language Processing (NLP), this book covers fundamental concepts and techniques essential for understanding how Large Language Models (LLMs) function. While not exclusively about GenAI, it provides the necessary background in NLP, which cornerstone of many GenAI applications. It is commonly used as a textbook in academic settings.
Offers a critical perspective on the societal and environmental impacts of AI, including the resources and labor involved. It provides important context for understanding the broader implications of GenAI beyond the technical aspects. It's valuable for prompting critical thinking about the development and deployment of AI.
A classic in technology marketing, this book addresses the challenges of bringing disruptive products from early adopters to the mainstream market. While not solely focused on product management, its insights into market dynamics and adoption are crucial for product strategy and understanding the user landscape beyond early adopters.
Introduces the Objectives and Key Results (OKRs) framework for setting and achieving ambitious goals. OKRs are widely used in product-led organizations for aligning teams and measuring progress towards key outcomes. It's valuable for understanding goal setting and strategy execution in product management.
Provides a practical guide to using design thinking to develop new products and services. It valuable resource for anyone involved in product development.
Provides a practical guide to getting customers for your new product or service. It valuable resource for anyone involved in product development.
Focuses on the application of generative AI in the finance industry, covering topics such as risk management, fraud detection, and algorithmic trading.
A foundational book in design and usability, this classic explores the principles of human-centered design. Understanding these principles is crucial for product managers to create intuitive and effective products. It provides valuable background knowledge in user experience.
Considered a classic and comprehensive textbook in the field of AI. While it covers a broad range of AI topics, it provides essential foundational knowledge that is relevant to understanding the historical context and fundamental concepts behind GenAI. It's a valuable reference and commonly used in university AI courses.
Provides a beginner-friendly and visual guide to building GenAI applications using low-code tools. It's a good starting point for those new to GenAI implementation. This is valuable for individuals who want to understand the practical aspects of GenAI without extensive coding knowledge.
Aimed at business leaders, this book provides a high-level overview of LLMs and their potential business applications, along with a focus on responsible AI strategy. It's useful for understanding the strategic implications of GenAI in an organizational context.
Provides a perspective on the global landscape of AI development, focusing on the competition between the US and China. It offers insights into the broader economic and geopolitical context of AI, which is relevant to the rapid advancements in GenAI. This provides valuable context for understanding the forces driving GenAI development.
Effective communication and feedback are vital for product managers working with cross-functional teams. provides a framework for giving and receiving feedback effectively, which crucial soft skill for product leaders. It's valuable for deepening understanding of leadership and team dynamics.
While focused on the interview process, this book provides a solid overview of the skills and knowledge required for a product management role in the tech industry. It's a useful resource for those looking to break into product management and gain a foundational understanding of expectations.
Offers a broad introduction to the principles and practices of product management in an accessible format. It covers various aspects of the product lifecycle, market analysis, and communication. It's a good starting point for those seeking a general understanding of the field.
This beginner-friendly book introduces the fundamental concepts of generative AI, making it accessible to those with limited technical background.

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