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Skill-Up EdTech Team and Daniel C. Yeomans

As generative AI disrupts every business and industry, the product manager’s role is also constantly transforming. This course enables product managers to expand their skill sets and give them an edge in their careers by leveraging AI.

For example, an AI product manager must understand generative AI tools and models, ethical considerations, and their practical application over and above product management skills.

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As generative AI disrupts every business and industry, the product manager’s role is also constantly transforming. This course enables product managers to expand their skill sets and give them an edge in their careers by leveraging AI.

For example, an AI product manager must understand generative AI tools and models, ethical considerations, and their practical application over and above product management skills.

This course demonstrates how you can use generative AI tools, frameworks, and platforms to significantly increase or “supercharge” your overall product management effectiveness. You will learn to harness the power of Generative AI to improve your ability to ideate, design, develop, launch, and deliver products that are a customer’s delight while keeping ethical considerations in mind.

Throughout this course, you will apply the concepts learned in hands-on labs and a final project. You will use Generative AI tools and models like ChatGPT, DALL-E, Gemini, CoPilot, etc.

Enroll now and be part of that niche group of AI-enabled product managers!

Enroll now

What's inside

Syllabus

Product Management and Generative AI
In this module, you’ll learn how generative AI is enhancing the product management and product lifecycle and helping organizations get a competitive advantage. You’ll get familiar with the different tasks a product manager must perform when leveraging generative AI for product management. Further, you’ll get familiar with the process of integrating generative AI into the organization and the associated challenges and tips to be successful. In addition, you’ll explore a generative AI tool. You’ll leverage generative AI to streamline tasks, generate ideas, enhance communication, and improve customer experiences. You’ll also learn about the risks when using generative AI.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches the latest generative AI product management trends, tools, and techniques
Guided project and final assessment enhance practical application and skill development
Emphasizes responsible and ethical use of generative AI in product management
Focus on product innovation and competitive advantage through generative AI
Designed to cater to professionals and students seeking to upskill in generative AI product management
Offers a blend of theoretical knowledge and hands-on practice to reinforce learning

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Reviews summary

Practical genai for pms

According to learners, this course offers a solid foundation in leveraging Generative AI to supercharge product management effectiveness. Students highlight its practical application of AI tools like ChatGPT and DALL-E for tasks like ideation and design. A consistent strong point is the focus on ethical considerations, which many find crucial and well-covered. While highly relevant and up-to-date, some reviewers noted the course might be better suited for beginners to AI, with those having prior AI knowledge finding certain parts less in-depth than expected. The hands-on labs and final project are frequently praised for solidifying understanding.
Ideal for PMs new to AI, less so for advanced users.
"As someone with prior AI knowledge, I found some parts a bit basic. It's great for beginners to the AI in PM space."
"I enrolled hoping for in-depth insights into building AI products as a PM, but it felt more like a general overview of using existing tools."
"It covers the basics of GenAI for PMs, which is what I needed as a beginner. However, I felt the 'supercharge' aspect was a bit overhyped."
"Not worth the investment if you already have some basic understanding of AI or PM."
Modules are logical and easy to digest, with good instruction.
"Very practical and well-structured. I particularly liked the focus on how to use GenAI for communication."
"The modules were bite-sized and easy to digest. The instructor clearly knows their stuff."
"It breaks down complex topics into digestible chunks. The instructor was engaging."
Content is current and directly applicable to modern PM.
"Absolutely essential for any PM in today's landscape."
"The content is highly relevant and up-to-date with the rapid changes in AI."
"This course is very current and relevant to modern product management challenges."
Crucial ethical aspects of AI are thoroughly covered.
"I appreciated the ethical considerations module; it's a critical topic that many courses overlook."
"The ethical discussions were robust, and I value the course's emphasis on this."
"I also appreciate the emphasis on ethical considerations, which is often overlooked."
Focuses on applying GenAI tools for real PM tasks.
"The practical application of tools like ChatGPT and Gemini for ideation and feature definition was really valuable."
"The hands-on labs were fantastic, especially applying DALL-E to product design concepts."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
"The labs using ChatGPT for ideation and content generation were eye-opening."
Some tool demos could benefit from more detail.
"Sometimes the pace felt a bit rushed in the initial modules, but overall, very relevant."
"The only minor critique is that some of the tool demos felt a little brief; I had to do extra research to fully grasp them."
"The hands-on parts were too simple and didn't really challenge me."

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 Generative AI: Supercharge Your Product Management Career with these activities:
Review AI concepts
Review AI concepts and principles to strengthen foundational understanding and prepare for the course.
Browse courses on Generative AI
Show steps
  • Read textbooks and articles on AI.
  • Go through online tutorials and courses on AI.
  • Attend webinars and workshops related to AI.
  • Solve practice problems and coding exercises.
Read 'Deep Learning for Coders with Fastai and PyTorch'
Gain a deeper understanding of deep learning concepts and techniques for building AI models.
Show steps
  • Read through the book chapters in sequence.
  • Work through the code examples and exercises.
  • Apply the learned concepts to your own projects.
Participate in generative AI workshops
Gain hands-on experience and insights from experts in generative AI and product management.
Browse courses on Generative AI Tools
Show steps
  • Find workshops offered by reputable organizations or institutions.
  • Register and attend the workshops.
  • Actively participate in discussions and exercises.
  • Network with other participants and facilitators.
  • Follow up with any resources or connections made during the workshop.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Learn Generative AI tools
Gain hands-on experience with popular generative AI tools used in product management.
Browse courses on ChatGPT
Show steps
  • Sign up for free trials or accounts of generative AI tools.
  • Follow step-by-step tutorials and documentation.
  • Experiment with different features and functionalities.
  • Join online communities and forums for support.
  • Attend workshops or webinars on specific generative AI tools.
Assist fellow students in understanding AI concepts
Enhance your own understanding by explaining AI concepts to others and providing support.
Browse courses on Generative AI
Show steps
  • Join online forums or discussion groups related to AI.
  • Offer assistance to students who are struggling with AI concepts.
  • Organize study sessions or workshops to share your knowledge.
  • Create online resources or tutorials to help others learn.
Apply Generative AI in product management
Practice applying generative AI techniques to real-world product management scenarios.
Show steps
  • Identify a product management challenge or opportunity.
  • Use generative AI tools to generate ideas, content, or insights.
  • Evaluate and select the most promising solutions.
  • Implement the solutions and track their impact.
  • Reflect on the results and make adjustments as needed.
Build a product prototype using AI
Develop a tangible product prototype that showcases the power of generative AI in product management.
Show steps
  • Define the scope and goals of the prototype.
  • Choose appropriate generative AI tools and models.
  • Integrate generative AI into the prototype development process.
  • Build, test, and refine the prototype.
  • Present the prototype to stakeholders and gather feedback.

Career center

Learners who complete Generative AI: Supercharge Your Product Management Career 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 Generative AI: Supercharge Your Product Management Career.
Serves as the definitive engineering blueprint for building production applications on multimodal foundation models like Google Gemini, covering long-context prompting, retrieval-augmented generation, agentic tool calling, evaluation pipelines, and latency optimization.
Teaches both developers and business builders how to structure reliable system instructions, few-shot examples, structured JSON outputs, and multimodal chains across Google Gemini and frontier LLM APIs.
Bridges no-code/low-code citizen development and full-stack software engineering, demonstrating how Google Gemini, GitHub Copilot, and natural-language AI assistants accelerate application prototyping, testing, and deployment.
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.
Illustrates with visual clarity how modern transformer foundation models represent text and multimodal inputs, perform semantic search, and power intelligent conversational and agentic applications.
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.
Classic introduction to ethics. It clear and concise overview of the major ethical theories.
Collection of essays, speeches, and meditations by Toni Morrison, one of the most important and influential writers of the 20th century. Morrison writes about race, gender, and the American experience, and her work offers a profound and insightful look at the human condition.
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.
Explores the ethical implications of advances in science and technology. It thought-provoking and challenging read that will change the way you think about the future.
Documents the history of government-sponsored segregation in the United States. Rothstein argues that the federal government played a major role in creating and maintaining racial segregation in the United States.
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.
Focuses specifically on invoking Google Gemini from Python to generate application code, automate data processing workflows, debug scripts, and prototype AI-powered services rapidly.
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 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.
Introduces the Jobs to Be Done (JTBD) framework, a powerful approach for understanding customer needs and driving innovation. It's highly relevant to the product discovery and development phases, helping to ensure products are built to solve real customer problems. This book provides a structured approach to identifying market opportunities.
This foundational book introduces the Customer Development methodology, a precursor to the Lean Startup movement. It's highly relevant to the early stages of the product lifecycle for startups, emphasizing the importance of searching for a repeatable and scalable business model through customer discovery and validation. This classic text in the entrepreneurship space.
Provides a practical guide to creating and managing product strategy and roadmaps, essential tools for guiding a product through its lifecycle. It covers techniques for defining a compelling product vision and strategy and translating them into actionable roadmaps. This valuable resource for product managers and product owners.
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.
Walks practitioners through architecting low-code and code-first generative AI applications using orchestration frameworks, vector databases, memory buffers, and multimodal foundation model APIs.
Offers a practical, hands-on approach to generative AI using Python and TensorFlow. It covers various generative models and their implementation, including image and text generation. This book is particularly useful for those who want to gain practical experience in building generative models relevant to DALL-E.
This revised edition offers updated content on transformers and their applications in NLP. Given the rapid advancements in this field, the revised edition provides more current information essential for understanding the language processing capabilities relevant to DALL-E. It's a key resource for anyone working with the text input side of generative image models.
This classic book focuses on the challenges of transitioning a product from early adopters to the mainstream market, a critical phase in the product lifecycle. It provides valuable strategic frameworks for marketing and selling disruptive innovations and must-read for understanding market dynamics during product growth. foundational text in technology marketing.
Prompt engineering crucial skill for effectively using models like DALL-E. focuses on the techniques and strategies for crafting effective prompts to guide generative AI models to produce desired outputs. It is highly relevant for practical application of DALL-E.
Explores a contemporary approach to product growth where the product itself is the primary driver of customer acquisition, conversion, and expansion. It's highly relevant to the growth and maturity phases of the product lifecycle in the digital age and provides practical strategies for implementing a product-led approach. This valuable resource for product and marketing professionals.
Unpacks the underlying neural architecture of generative foundation models, showing technical readers how attention mechanisms, pretraining, and instruction tuning operate beneath the Gemini API.
This highly visual book introduces the Business Model Canvas, a strategic management tool for developing new or documenting existing business models. Understanding the business model is crucial throughout the product lifecycle, particularly during the ideation and growth phases. It's a practical guide for designing and analyzing how a product creates, delivers, and captures value.
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.
Architects end-to-end generative AI and machine learning workloads on Google Cloud, showing solutions builders how to operationalize Vertex AI, Gemini models, data pipelines, and low-code AutoML services in production.
Presents a framework for creating new market spaces rather than competing in existing ones. It's highly relevant to the early stages of the product lifecycle and strategic planning, encouraging innovation and differentiation to achieve long-term success. This book offers a valuable perspective on market creation and strategy.
This widely used textbook provides a structured approach to product design and development, covering the key activities and methodologies involved in bringing a new product to market. It's highly relevant to the early and middle stages of the product lifecycle and is commonly used in engineering and business programs.
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.
Equips Python and JavaScript engineers to orchestrate Gemini and frontier language models with LangChain and LangGraph, covering retrieval pipelines, conversational memory, tool calling, and production evaluation.
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.
Examines how Google's integration of Gemini foundation models into Search and AI Overviews reshapes digital communication, content discovery, brand visibility, and information retrieval strategy.
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.
Provides the enduring mathematical foundations of neural representation learning, sequence modeling, and gradient optimization that underpin modern multimodal AI systems like Google Gemini.
Save
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.

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