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Generative AI

Revolutionizing the Product Owner Role

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.

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!

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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