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Learn Agile Product Delivery with Generative AI: From Idea to Execution

Learn Agile Product Delivery, Scrum, SDLC, Sprint Zero, User Stories, and Product Backlog management while using Generative AI to strengthen real-world delivery work.

Nan Ross

8/18/20262 min read

One thing I’ve noticed throughout my career is that many people learn Agile by memorizing terminology.

They know what a Sprint is. They know what a Product Backlog is. They may even know how to write a User Story.

But once they get into a real project, the bigger question becomes:

How does all of this actually connect from idea to execution?

That is one of the reasons I created my Udemy course, Agile Product Delivery Fundamentals with Generative AI.

## Understanding the Full Agile Product Delivery Process

I wanted this course to go beyond Agile and Scrum definitions.

The goal is to help you understand how work actually moves through the Software Development Life Cycle (SDLC)—from identifying a business problem and defining a product vision to planning, requirements, development, testing, deployment, and release.

Before a team starts creating User Stories and filling a Product Backlog, there needs to be clarity around what they are building and why.

That is where Sprint Zero becomes important.

In the course, you’ll learn how to define the business problem, establish a product vision, identify stakeholders, define scope, understand risks and dependencies, and build an Agile product roadmap.

Then we connect that work to the Product Backlog, User Stories, Acceptance Criteria, testing, and delivery.

## Using Generative AI in Agile Product Delivery

I also wanted Generative AI to have a practical role in the course.

The goal isn’t to have AI think for you.

Instead, I show you how to use AI to pressure-test your work.

You’ll use Generative AI to challenge assumptions, identify requirement gaps, review delivery artifacts, and help strengthen the work you have already created.

AI can help you move faster, but you still need the knowledge and judgment to determine whether the output makes sense.

## Build Real Agile Delivery Artifacts

This is also a hands-on course.

You’ll work through a realistic case study and create deliverables that build into a Sprint Zero Readiness Package.

That includes practical work around product vision, project scope, stakeholder analysis, roadmaps, Product Backlogs, User Stories, Acceptance Criteria, and other Agile delivery artifacts.

So instead of only learning Agile terminology, you’ll practice how the pieces work together.

If you are a Business Analyst, Scrum Master, Product Owner, Project Manager, or someone working on an Agile team, this course can help you see the bigger picture of Agile Product Delivery.

Ready to see how Agile, Scrum, the SDLC, Sprint Zero, and Generative AI connect?

[Preview Agile Product Delivery Fundamentals with Generative AI on Udemy]