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SkillUp and Daniel C. Yeomans

Product Owners who can leverage Generative AI (GenAI) have a real competitive edge. It’s a powerful tool that enables them to make informed decisions quickly, improve backlog management efficiency, and enhance stakeholder collaboration.

In this course, you’ll learn how to use GenAI to boost efficiency, product value, and strategic alignment.

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Product Owners who can leverage Generative AI (GenAI) have a real competitive edge. It’s a powerful tool that enables them to make informed decisions quickly, improve backlog management efficiency, and enhance stakeholder collaboration.

In this course, you’ll learn how to use GenAI to boost efficiency, product value, and strategic alignment.

You’ll explore how AI informs product strategy through market trend analysis, sentiment insights, and competitive benchmarking. You’ll get hands-on using GenAI tools to generate user stories, assess features, and prioritize the backlog. Plus, you’ll learn how to use AI to enhance stakeholder communication and alignment throughout development.

You’ll also look at ethical AI practices such as identifying risks, addressing bias, and promoting responsible adoption in product management.

Throughout, you’ll build a strong, practical understanding of how to use GenAI tools like Google Gemini, ChatGPT, and Microsoft CoPilot in hands-on labs. Plus, in a guided project, you’ll use these tools to create essential product artifacts and deliverables across the product lifecycle.

If you’re looking to power up your Product Owner career using GenAI and enroll today!

Enroll now

What's inside

Syllabus

Integrating AI into Product Ownership
In this module, you will explore how generative AI is rapidly evolving within Product Ownership. AI is reshaping how Product Owners define product visions, manage backlogs, and engage with stakeholders by automating tasks, optimizing decision-making, and enhancing collaboration. More Product Owners are integrating AI-driven tools to improve strategic alignment, prioritize features effectively, and maximize product value. You will learn how AI tools streamline tasks, support scenario planning, and drive efficiency across the product lifecycle—from ideation to launch. 
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Career center

Learners who complete Generative AI: Revolutionizing the Product Owner Role will develop knowledge and skills that may be useful to these careers:
Product Owner
The Product Owner role is central to agile product development, responsible for maximizing product value by defining and prioritizing backlog items. This course is explicitly designed to revolutionize the Product Owner role, offering a significant competitive edge by teaching how to leverage Generative AI. Learners will gain hands-on experience using GenAI tools like Google Gemini, ChatGPT, and Microsoft CoPilot to generate user stories, assess features, and prioritize the product backlog with enhanced efficiency. The course also explores how AI informs product strategy through market trend analysis and sentiment insights, crucial for making informed decisions. Furthermore, understanding ethical AI practices, addressing bias, and promoting responsible adoption prepares Product Owners to navigate the evolving demands of an AI-assisted future, enhancing stakeholder collaboration and strategic alignment.
AI Product Manager
An AI Product Manager specializes in developing and launching products that incorporate artificial intelligence, requiring a deep understanding of both product strategy and AI capabilities. This course is exceptionally well-suited for anyone aiming for an AI Product Manager position, as it specifically focuses on leveraging Generative AI to revolutionize product development and strategy. Learners will gain hands-on proficiency with leading GenAI tools like Google Gemini and ChatGPT, applying them to critical tasks such as defining product visions, managing backlogs, and optimizing decision-making. The curriculum's exploration of how AI informs product strategy through market trend analysis and sentiment insights, coupled with ethical AI practices, directly addresses the core challenges and responsibilities of an AI Product Manager, ensuring they can deliver both valuable and responsible AI-driven products.
Product Manager
A Product Manager oversees the entire product lifecycle, from ideation to launch and iteration, focusing on market needs, business goals, and user experience. This course provides an invaluable foundation for aspiring and current Product Managers by demonstrating how Generative AI can boost efficiency and strategic alignment across all stages. Learners will explore how AI informs product strategy through market trend analysis and competitive benchmarking, enabling data-driven decision-making. The hands-on experience with GenAI tools to generate user stories and assess features directly supports the Product Manager's responsibilities in defining product vision and developing roadmaps. Furthermore, the emphasis on enhancing stakeholder communication and understanding ethical AI practices ensures a well-rounded approach to managing innovative products in an AI-powered landscape.
Technical Product Manager
A Technical Product Manager combines product management expertise with a strong technical understanding, often focusing on the technical feasibility and implementation of product features. This course offers exceptional value for a Technical Product Manager by providing hands-on proficiency with Generative AI tools like Google Gemini, ChatGPT, and Microsoft CoPilot. This practical experience is crucial for understanding GenAI's capabilities and limitations when defining product visions, managing backlogs, and enhancing stakeholder collaboration in technical contexts. The course's exploration of AI-driven end-to-end sprint management deeply informs the technical aspects of product delivery. Additionally, learning about ethical AI practices, including identifying risks and addressing bias, is vital for guiding responsible technical development in AI-powered products.
Data Product Manager
A Data Product Manager focuses on products whose core value proposition is derived from data, including AI and machine learning applications. This course is highly relevant for a Data Product Manager as it delves into how Generative AI can revolutionize product development and strategy. Learners will gain a deep understanding of how AI informs product strategy through critical data-driven activities like market trend analysis, sentiment insights, and competitive benchmarking. The hands-on application of GenAI tools provides practical skills for defining requirements for data-intensive products. Furthermore, the comprehensive module on ethical AI practices, addressing bias and promoting responsible adoption, is absolutely essential for a Data Product Manager to ensure the integrity and societal impact of data-driven and AI products.
Strategy Consultant
A Strategy Consultant advises organizations on high-level decisions to achieve their goals, often focusing on market entry, operational efficiency, and technological adoption. This course equips a Strategy Consultant with a powerful understanding of how Generative AI can be leveraged for competitive advantage and strategic alignment. Learners will explore how AI informs product strategy through detailed market trend analysis, sentiment insights, and competitive benchmarking, which are critical for developing robust strategic recommendations. The practical application of GenAI tools provides a consultant with data-driven methods to advise clients on optimizing product portfolios. Furthermore, the course's attention to ethical AI practices allows a Strategy Consultant to guide clients in responsible and sustainable integration of cutting-edge AI technologies.
AI Ethicist
An AI Ethicist specializes in identifying, analyzing, and mitigating the ethical implications and societal impacts of artificial intelligence systems. This course provides a strong foundation for an AI Ethicist, as it dedicates a significant portion to ethical AI practices. Learners will specifically explore identifying risks, addressing bias, and promoting responsible adoption in product management contexts. The curriculum's hands-on approach to Generative AI tools within the product lifecycle gives an Ethicist a practical understanding of where ethical considerations arise in real-world applications, from user story generation to feature assessment. This understanding of how AI informs product strategy and is integrated across development stages helps an AI Ethicist propose practical and effective ethical guidelines. This role typically requires an advanced degree.
Innovation Manager
An Innovation Manager champions new ideas and technologies, fostering a culture of creativity and guiding the development of novel solutions within an organization. This course provides an essential understanding of Generative AI, a transformative technology that is central to modern innovation. Learners will explore how GenAI can revolutionize product ideation, market trend analysis, and competitive benchmarking, directly fueling the innovation pipeline. By gaining hands-on experience with tools like Google Gemini and ChatGPT, an Innovation Manager can discover new ways to generate concepts, assess potential, and accelerate the development of groundbreaking products. The course's focus on leveraging AI to boost efficiency and product value, coupled with ethical AI practices, equips managers to lead responsible and impactful technological advancements within their organizations.
Growth Product Manager
A Growth Product Manager focuses on strategies and features that drive user acquisition, activation, retention, and monetization, often involving experimentation and data analysis. This course provides a powerful toolkit for a Growth Product Manager by showcasing how Generative AI can significantly enhance growth initiatives. Learners will explore how AI informs product strategy through precise market trend analysis, sentiment insights, and competitive benchmarking, which are crucial for identifying growth opportunities. The hands-on experience using GenAI tools to assess features and prioritize the backlog enables more data-driven and efficient experimentation, leading to faster iteration. By leveraging AI to boost efficiency and product value, a Growth Product Manager can accelerate the achievement of key metrics and foster sustainable product expansion, while also ensuring strategic alignment.
Business Analyst
A Business Analyst serves as a crucial link between business needs and technical solutions, gathering requirements, analyzing data, and identifying opportunities for improvement. This course offers a significant advantage for a Business Analyst by introducing powerful Generative AI tools that can enhance many aspects of their work. Learners will discover how AI can inform product strategy through deep market trend analysis, sentiment insights, and competitive benchmarking, greatly improving the quality of requirements gathering and solution definition. The hands-on experience in using GenAI tools to generate user stories and assess features provides practical skills for articulating product needs more effectively. Additionally, the focus on strategic alignment and optimizing decision-making through AI positions a Business Analyst to drive greater business value and innovation.
Agile Coach
An Agile Coach guides teams and organizations in adopting and improving agile methodologies, fostering a culture of continuous improvement and efficient delivery. This course provides a forward-thinking perspective for an Agile Coach, demonstrating how Generative AI can be integrated into agile frameworks to enhance product value and strategic alignment. Learners will see how AI tools streamline user story development, backlog prioritization, and sprint planning, directly improving the efficiency of agile ceremonies and the overall product lifecycle. The course's focus on optimizing decision-making and enhancing stakeholder collaboration through AI-driven insights offers new strategies for coaches to empower teams. Examining ethical AI practices also equips an Agile Coach to guide organizations in responsible technology adoption within their agile transformations.
Scrum Master
A Scrum Master facilitates the Scrum framework, ensuring the team adheres to agile principles and practices, and removes impediments. This course offers valuable insights for a Scrum Master looking to optimize team efficiency and collaboration using modern tools. By understanding how Generative AI can streamline user story development, backlog prioritization, and sprint planning and execution, a Scrum Master can identify opportunities to improve their team's processes. The course's emphasis on AI-driven end-to-end sprint management and enhancing collaboration through AI tools provides concrete examples of how to support their development teams. Furthermore, knowledge of ethical AI practices helps a Scrum Master address potential concerns and guide their team in responsible AI adoption, promoting smooth and effective sprint cycles.
Software Development Manager
A Software Development Manager leads engineering teams, overseeing the development process, resource allocation, and technical strategy. This course may offer insights for a Software Development Manager seeking to integrate cutting-edge Generative AI tools to improve team efficiency and product outcomes. Learners will explore how AI tools can streamline user story development, backlog prioritization, and sprint planning, potentially impacting the development lifecycle their teams manage. The emphasis on AI-driven end-to-end sprint management can provide practical strategies for optimizing team workflows and delivery. By understanding how AI enhances stakeholder collaboration and decision-making, a manager may be better able to guide their teams and communicate effectively with product leadership. Additionally, awareness of ethical AI practices helps in fostering responsible development within their teams.
User Experience Designer
A User Experience Designer focuses on making products usable, enjoyable, and accessible, conducting research, creating wireframes, and prototyping solutions. This course may help a User Experience Designer by demonstrating how Generative AI can enhance various stages of the design process. Learners will gain hands-on experience using GenAI tools to generate user stories, which are fundamental inputs for design, and to assess features, informing design decisions based on potential user value. The exploration of AI informing product strategy through sentiment insights and market trend analysis can significantly deepen user understanding, leading to more user-centric designs. Understanding how AI enhances stakeholder communication also supports designers in advocating for user needs, while ethical AI practices are vital for designing responsible and inclusive experiences.
Project Manager
A Project Manager is responsible for planning, executing, and closing projects, ensuring they meet objectives within scope, time, and budget. This course may help a Project Manager boost efficiency and strategic alignment across various projects, especially those in technology or product development. Learners will explore how Generative AI can streamline tasks and optimize decision-making throughout the project lifecycle, from ideation to launch. The course's emphasis on AI-driven end-to-end sprint management provides practical insights into enhancing project workflows and monitoring progress. Furthermore, understanding how AI can improve stakeholder collaboration and communication may be crucial for successful project delivery, and the module on ethical AI practices prepares Project Managers to address new considerations in AI-integrated projects.

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 Generative AI: Revolutionizing the Product Owner Role.
Provides a comprehensive guide to integrating Microsoft 365 Copilot into daily workflows to enhance productivity. It covers AI fundamentals, how Copilot works with Microsoft 365 apps, and practical implementation strategies. It's suitable for both beginners and experienced users looking for a hands-on roadmap.
Given the prevalence of prompt engineering courses related to Gemini, this book is highly relevant. It delves into the techniques and principles for effectively interacting with generative AI models to achieve desired outputs. It's a practical guide for anyone looking to utilize models like Gemini effectively. This recent publication.
Provides a critical and material perspective on AI, examining its environmental costs, labor exploitation, and the power structures it reinforces. It is essential reading for understanding the broader societal and political context of AI development and is particularly valuable for those interested in the real-world impacts beyond technical discussions.
Comprehensive guide for Product Owners working with Scrum. It delves into practical techniques for managing the Product Backlog, including envisioning the product, grooming the backlog, and planning releases. It's highly relevant for those in a Product Owner role or aspiring to be one, offering depth beyond the basic Scrum framework.
Takes a hands-on approach to understanding LLMs by guiding the reader through building one from scratch. It's highly relevant for gaining a deep technical understanding of the components and processes involved in creating models like Gemini. It's suitable for those with a programming background looking for in-depth knowledge.
Focuses on practical prompt engineering techniques and patterns for interacting with large language models. It goes beyond basic prompting and explores more advanced strategies for getting reliable and customized outputs from models like Gemini. It's a hands-on guide for improving prompting skills.
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.
A step-by-step guide for professionals to improve productivity using Microsoft 365 Copilot in core applications like Excel, Word, PowerPoint, and Teams. It covers AI fundamentals, technical setup, prompt engineering, and data security. is valuable as a practical reference tool for daily use.
Provides a practical approach to understanding and working with large language models. It covers key concepts and techniques relevant to models like Gemini, focusing on practical implementation. It's suitable for those who want to gain hands-on experience with LLMs.
Presents a structured approach to continuous product discovery, a key activity that feeds the product backlog with validated learning. It provides practical habits and techniques for continuously interviewing customers and analyzing data to inform backlog decisions. This is highly relevant for contemporary backlog management practices focused on value delivery.
Offers a thorough walkthrough of Copilot for Microsoft 365, including an introduction to generative AI, large language models, and responsible AI. It details how to use Copilot in various Microsoft 365 apps to increase productivity. It is particularly useful for beginners and provides clear, step-by-step examples.
Provides a deep dive into the Product Owner role and its critical relationship with the product backlog. It offers practical advice and real-world examples for maximizing the value of the product and effectively managing the backlog to achieve business outcomes. It's a valuable resource for experienced Product Owners looking to enhance their skills.
Transformers are the architecture behind models like Gemini. provides a practical introduction to using the Hugging Face Transformers library, which is widely used for building and working with transformer models. It's highly relevant for understanding the technology enabling Gemini and is useful for hands-on learning. The revised edition recent publication.
Focuses on the practical aspects of building applications using large foundation models, which include models like Gemini. It covers the engineering challenges and best practices for deploying and utilizing these models in real-world scenarios. It's particularly useful for developers and engineers.
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.
Introduces a new way of thinking about data science and AI, drawing on the principles of intersectional feminism. It highlights how power imbalances are embedded in data and algorithms and offers a framework for building more equitable and just data systems. It is highly relevant for understanding bias and fairness in AI.
Offers practical guidance on creating and evolving product strategies and roadmaps specifically for digital products. It provides a clear framework and techniques for product managers. It's highly relevant for both gaining a broad understanding and deepening one's knowledge of practical product strategy development.
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 practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.
While not solely about backlog management, this book is essential for understanding one of the primary units of work in many backlogs: user stories. It provides practical guidance on writing effective user stories, which is fundamental to building and refining a valuable backlog. valuable reference for anyone involved in defining and detailing backlog items.
Offers a detailed and practical guide to the Scrum framework, with significant coverage of the Product Backlog and the Product Owner role. It provides valuable insights into how the backlog fits within the overall Scrum process and offers practical advice for effective backlog management. It's a solid resource for gaining a deeper understanding of Scrum's application.
A follow-up to 'Inspired,' this book focuses on the leadership and organizational aspects necessary to build successful product teams and foster innovation. It delves into creating an environment where product teams can thrive and deliver extraordinary products. It's highly relevant for those looking to deepen their understanding of product strategy beyond the individual product level and into organizational dynamics.
Written by a co-founder of DeepMind and Inflection AI, this book discusses the transformative potential of AI and other frontier technologies, as well as the urgent need to govern them effectively. It offers a contemporary perspective on the challenges and opportunities presented by advanced AI like Gemini.
Written by a leading AI researcher, this book addresses the fundamental challenge of ensuring that AI systems are beneficial to humanity and remain under human control. It's a crucial read for understanding the long-term safety considerations associated with increasingly capable AI, including models like Gemini.
Provides a deep dive into the technical foundations and applications of ChatGPT. It is written by the leading researchers at OpenAI, the company that developed ChatGPT, and valuable resource for anyone who wants to understand the inner workings of ChatGPT.
A straightforward guide to using Microsoft Copilot integrated with Windows and Microsoft 365 apps. It teaches how to write effective prompts, enhance output, and apply Copilot functions to various tasks. is an excellent starting point for beginners and home users.
This manual provides a user-friendly guide to understanding and utilizing Microsoft Copilot AI within the Office 365 environment on Windows. It focuses on the integration and capabilities of Copilot, making it a practical resource for users looking to leverage AI in their daily Office tasks.
Delves into the Jobs to Be Done (JTBD) theory, a framework for understanding customer needs and driving innovation. It provides a detailed approach to applying JTBD in practice. It's highly relevant for deepening one's understanding of a powerful customer-centric approach to product strategy.
Provides a detailed exploration of the Transformer architecture and its applications in machine learning, including NLP. It's a valuable resource for those seeking a deeper technical understanding of the core technology behind models like Gemini. It covers a wide range of transformer architectures.
Building on the Jobs to Be Done theory, this book explores how understanding what jobs customers are trying to get done can lead to successful innovation. It provides case studies and practical advice on applying JTBD to product strategy. It's highly relevant for deepening one's understanding of customer-centric innovation.
Presents a framework for centering the voices and needs of marginalized communities in the design of technology and AI. It offers practical guidance and case studies for creating more equitable and just technological systems, making it valuable for designers, developers, and policymakers.
This concise book offers a high-level overview of language models, covering the fundamental concepts without excessive jargon. It's a good starting point for those who want to quickly grasp the core ideas behind LLMs like Gemini before diving into more technical details. It provides a good balance of theory and intuition.
Delves into the technical aspects of designing algorithms that are fair, private, and transparent. It is particularly useful for students and professionals with a technical background who want to understand the computational challenges and solutions related to ethical AI. It can serve as a valuable reference for those building AI systems.
Offers a step-by-step approach to learning Microsoft Copilot Pro for enhanced creativity and productivity. It focuses on writing effective prompts and getting started with the necessary skills. It practical guide for users who want to maximize their use of Copilot Pro.
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.
Effective backlog management requires sound estimating and planning. provides practical techniques for estimating the effort of backlog items and planning releases in an agile environment. It's a crucial resource for Product Owners and development teams to make informed decisions about backlog content and delivery forecasts.
Provides a framework for understanding what constitutes a good strategy versus a bad one. It emphasizes the importance of a coherent and focused approach to tackling challenges. While not solely focused on product strategy, its principles are directly applicable to developing robust product strategies. It's valuable for gaining a deeper understanding of strategic thinking.
Examines the increasing power of algorithms in finance, search, and reputation, highlighting the lack of transparency and accountability. It provides crucial context for understanding the societal implications of opaque algorithmic systems and is valuable for students and professionals across various disciplines.
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.
Offers a focused examination of the ethical considerations surrounding artificial intelligence. It delves into various ethical frameworks and their application to AI development and deployment, providing a deeper understanding of the ethical landscape relevant to advanced models like Gemini.
Co-authored by a co-founder of DeepMind, this book examines the transformative potential of AI and other frontier technologies while also highlighting the immense challenges of controlling them for the benefit of humanity. It provides a recent and insightful perspective on the opportunities and risks ahead.
Classic in technology marketing and product strategy, focusing on the challenges of bringing disruptive innovations from early adopters to the mainstream market. It provides valuable insights into market segmentation and positioning for new products. It's highly relevant for understanding the strategic considerations of scaling a product.
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.
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.

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