AI PRODUCT MANAGER Skills for Agile: AI Product Management

This course contains the use of artificial intelligence

Do you want to become a stronger Product Manager or Product Owner using AI?

Are you a Product Manager or Product Owner who wants to use AI tools like ChatGPT to manage your product backlog, roadmap, sprint planning and Agile workflows more effectively?

This course is built specifically for that.

This is not a course about managing AI products.

This is a course about using AI to become a more effective Product Manager in Agile environments.

You will learn how to use AI tools to:

• Conduct product market research

• Analyse user reviews and customer feedback

• Generate product vision and strategy

• Build and order a product backlog

• Plan sprints

• Improve Agile meetings

• Manage workflows in Jira and Confluence

And you will see it done step-by-step in a real-world scenario.

Learn Through a Real Product Scenario

Throughout the course, you will act as the Product Manager for an international Sports App.

Using this practical scenario, you will:

• Use ChatGPT to analyse market data and user reviews

• Generate product strategy and roadmap clusters

• Create a structured product backlog

• Export backlog items into Jira

• Use Confluence for documentation

• Improve sprint planning and meeting workflows

The demonstrations use ChatGPT, Jira and Confluence.

However, the frameworks and prompt structures taught in this course work equally well with tools such as Claude, Gemini, or other AI assistants.

You are learning transferable AI Product Management skills — not tool dependency.

What Makes This Course Different?

Most courses teach:

• Theory-heavy product management

• Or abstract AI concepts

• Or how to manage AI engineering teams

This course focuses on something far more practical:

How to use AI as your Product Management co-pilot.

You’ll learn how to:

• Structure better prompts for backlog refinement

• Use AI to detect ambiguities and gaps in requirements

• Generate acceptance criteria

• Prioritise product backlog items

• Organise stories into sprints

• Improve Agile ceremonies using AI transcription and summaries

This is hands-on, applied AI for Agile Product Managers.

Who Is This Course For?

• Product Managers

• Product Owners

• Agile Practitioners

• Scrum Masters transitioning into Product roles

• SaaS professionals

• Consultants supporting product teams

• Anyone who wants to integrate AI into their product workflows

If you want to improve how you manage products using AI — this is for you.

Instructor

Paul Ashun — Product & AI Strategy Consultant

Paul has extensive experience in:

• Agile Product Management

• Product strategy & roadmap development

• AI tooling integration (ChatGPT, Jira, Confluence)

• Market research and user insight analysis

• SaaS and digital product environments

• Consulting organisations on adopting AI for product workflows

Through Pashun Consulting, Paul works with professionals and teams to integrate AI into practical product management processes — not just experimentation, but structured execution.

This course brings that experience into a practical, step-by-step format.

Course Structure

The course follows a logical Agile product lifecycle:

1. Introduction to AI in Product Management

Understanding how AI fits into the Product Manager and Product Owner role.

2. AI Market Research

Capturing and analysing user comments, reviews and competitor insights.

3. AI Product Vision, Strategy & Roadmap

Turning insights into structured product direction.

4. AI Product Backlog Management

Creating personas, user stories, release goals and backlog ordering.

5. Jira AI Backlog Management

Importing and managing AI-generated backlog items inside Jira.

6. AI Sprint Planning

Organising stories and selecting sprint goals strategically.

7. AI Meetings & Sprint Lifecycle

Using AI transcription and action tracking to improve Agile ceremonies.

Everything is demonstrated through the Sports App scenario so you see practical implementation — not theory.

Why AI Skills Matter for Product Managers

Product management is evolving rapidly.

Companies are looking for Product Managers and Product Owners who can:

• Work efficiently with AI tools

• Reduce time spent on manual backlog work

• Improve clarity of requirements

• Make data-driven decisions faster

• Increase sprint effectiveness

AI will not replace Product Managers.

But Product Managers who use AI effectively will outperform those who don’t.

Career Benefits

Product Management remains one of the highest-impact and highest-growth roles in tech.

By combining:

• Agile Product Management skills

• AI workflow integration

• Practical tooling knowledge (ChatGPT, Jira, Confluence)

You significantly increase your value in SaaS, fintech, digital platforms and product-led organisations to obtain  your product manager job. Apart from product manager jobs you can use these skills to manage products within your own business as an entrepreneur,

This Is Practical AI Product Management

You will not just learn concepts.

You will see:

• Prompts

• Outputs

• Backlogs

• Roadmaps

• Sprint boards

• Documentation workflows

All in action.

If you want to become a more efficient, AI-empowered Product Manager in Agile teams — this course is for you.

Let’s get started.