Master Generative AI to supercharge your Product Management career

Teachers
Jan Moons
Category:
Product Management /
Original price was: € 699,00.Current price is: € 495,00.
Master Generative AI to supercharge your Product Management career

COURSE DESCRIPTION

As a product manager, you’re under pressure to leverage AI in your products, but the rapid rise of generative AI can feel overwhelming. One industry report put it bluntly: AI is no longer optional – if you’re not onboard, you’re already falling behind . Indeed, AI product management has become the upskilling trend of 2025 , yet many PMs feel lost on where to start. Without guidance, you risk missing out while competitors use AI to innovate faster. In fact, 59% of product teams say a lack of AI expertise is holding them back from fully harnessing AI’s potential . It’s frustrating to know AI could amplify your impact, but not have the skills or confidence to use it effectively in your day-to-day work.

Generative AI for Product Managers is a comprehensive course designed to close this skill gap and turn that overwhelm into excitement. We start with the basics and quickly ramp up to advanced applications, so you build expertise step by step. You’ll become proficient with prompt engineering, learn to leverage popular AI tools (ChatGPT, Claude, GitHub Copilot, Google Gemini, etc.) for product management tasks, and discover use cases you never even considered. Through a mix of theory and hands-on exercises, you’ll practice applying AI to real product scenarios – from brainstorming features and analyzing user feedback to drafting PRDs and marketing copy with AI assistance. By the end, you’ll have the know-how to deliver better products in shorter timeframes and the confidence to lead AI-driven initiatives. In short, this course transforms you into an AI-savvy product manager who can build products faster, make data-driven decisions, and stay ahead of the curve.

Requirements

  • Paid ChatGPT subscription

What is the target audience?

  • Business Analysts
  • Project Managers

CURRICULUM

Section 1: Introduction to this course

The content of this lesson is locked. To unlock it, you need to Buy this Course.
Welcome to your second lesson review. Here we will talk about your purposes on course and goal you want to reach Download PDF

Section 2: GenAI fundamentals for Product Management

  • What is Generative AI is (Large Language Models, etc.), how it generates content, and why it’s relevant to Product Managers.
  • Recognise the overall benefits and limitations of using AI in product work.
  • Become familiar with the major generative AI tools available, their unique features, and how to access them.
  • Decide which tools are best suited for different tasks in the PM workflow.

Section 3: Ideation and user research with GenAI

Harness AI as a brainstorming partner to generate product ideas, feature solutions, and creative approaches to problems. Learn to overcome “blank page syndrome” by collaborating with AI for inspiration. Content: Demonstrate how ChatGPT or Claude can act as an “ideation assistant” for product managers. For instance, you can prompt “Suggest five innovative features for a fitness app that targets busy professionals”. AI excels at idea creation, producing numerous suggestions that a PM can refine
Leverage AI to conduct preliminary market research – identifying competitors, analyzing their strengths/weaknesses, and understanding market trends. Use AI to summarize industry info and user needs quickly.
Use generative AI to support user research tasks – from drafting user interview questions to summarizing research findings, to even helping construct user personas. Understand how AI can accelerate gaining user insights while keeping the PM in control of interpretation.
Discover creative, less obvious ways to use AI in the ideation and research phase, such as simulating users, role-playing scenarios, and running thought experiments. Understand the value and limits of using “simulated” input to guide product decisions.

Section 4: Product definition: Requirements, prioritization, and roadmaps with AI

Learn how AI can assist in writing and refining product requirement docs. Ensure that the PRD covers the “what” and “why” comprehensively by leveraging AI for sections like problem statement, goals, feature specs, and even risk analysis
Use AI to transform product requirements into user stories, use-case scenarios, and acceptance criteria. Ensure that requirements maintain a user-centric focus and are easily understood by development teams.
Learn how generative AI can assist in feature prioritization by bringing objectivity and data into the discussion. Use AI to analyze inputs (like strategic goals, user value, effort estimates) and produce a rationale for what to do first. Understand that AI is a tool for decision support, not a decision-maker.
Utilize AI to assist in constructing a product roadmap that aligns with strategic goals and feature priorities. Learn how AI can break down a vision into phased releases and help articulate the roadmap for different audiences (team vs. executives).
Explore how generative AI can contribute to the early design phase – from storyboarding user experiences to generating quick prototypes or design ideas – thereby improving collaboration with design teams.

Section 5: Execution and collaboration: Working with engineering and cross-functional teams using AI

Utilize AI to help translate technical jargon, learn about unfamiliar technologies, and ensure mutual understanding between PMs and engineers. Make PMs more self-sufficient in grasping technical topics, leading to more effective collaboration.
Introduce PMs to AI coding assistants and how they can be optionally used to perform simple development tasks, analyze code, or automate workflows. Even if PMs don’t code daily, understanding these tools helps in working effectively with tech teams and possibly prototyping on their own.
Learn how to integrate AI into regular team workflows – from capturing and summarizing meetings to drafting project updates – improving communication and saving time for everyone. Ensure stakeholder communications are clear and consistent with AI’s help while the PM retains the strategic narrative.

Section 6: Launch, Go-To-Market, and stakeholder engagement with AI

Use AI to help plan product launches and create the necessary collateral (announcements, FAQs, internal training docs). Ensure consistency in messaging and save time on writing marketing content.
Learn how to use AI to keep stakeholders (executives, other departments, clients) informed and aligned with the product direction. This includes generating clear reports, aligning on product vision, and even using AI to simulate stakeholder concerns so you can address them proactively.
Continue the use of AI in keeping stakeholders aligned after launch – including summarizing post-launch results, generating retrospective reports, and using AI to debrief meetings or synthesize feedback from various stakeholders into a coherent plan.

Section 7: Post-launch analysis and iteration with AI

Use AI to quickly analyze and categorize large volumes of post-launch user feedback (app reviews, support tickets, survey responses). Identify common themes, sentiment, and urgent issues to address in the next product iteration.
Understand how AI can assist in quantitative analysis of product data post-launch. Use AI to interpret A/B test results, generate hypotheses for changes in metrics, and even suggest new experiments or product tweaks based on data trends.
Integrate AI into the continuous improvement cycle by using it to document learnings (e.g., writing post-mortems or case studies), and to generate action plans based on post-launch insights. Ensure the team captures knowledge for future projects and makes iterative improvements efficiently.

About Instructors

Jan Moons
As a certified usability designer and software engineer, I bridge user experience with impactful AI applications, making hyperautomation efficient, user-centred, and business-driven.

0
Original price was: € 699,00.Current price is: € 495,00.
0 Ratings

Stars 5
0
Stars 4
0
Stars 3
0
Stars 2
0
Stars 1
0

There are no reviews yet.

Be the first to review “Master Generative AI to supercharge your Product Management career”