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Learning Path

AI on a Development Team

Who it’s for: Developers, testers, and tech leads who want practical, sprint-ready ways to use AI to build faster without sacrificing quality.

Outcomes

  • Use AI to turn vague work into clear, testable stories and acceptance criteria the team can build from.
  • Accelerate coding with guardrails: prompts that reinforce TDD, code review quality, and consistent patterns.
  • Improve delivery reliability by using AI for risk surfacing, edge cases, and “definition of done” readiness checks.

Path Steps

Work through these steps in order. Each one links to a specific EasyDNNnews article/video post.

8 steps
1
Step 1: How AI fits into a dev team (without chaos)

You’ll learn where AI helps most (planning, building, testing, reviewing) and how to keep the team in control.

Do this List 3 recurring “time sinks” in your sprint and pick one to target with AI assistance first.
5
Step 5: Code generation with guardrails

You’ll learn how to constrain AI output to your architecture, conventions, and security requirements.

Do this Create a “project rules” snippet (stack, patterns, naming, linting) and reuse it in every coding prompt.
7
Step 7: Test data, mocking, and troubleshooting with AI

You’ll learn how to generate realistic test data and isolate failures faster with structured debugging prompts.

Do this Paste a failing test + stack trace and ask AI for the top 3 hypotheses with “how to prove/kill each.”

Steps - Free

Steps - Members

 
 
✓ Featured Content

AI Coding Videos

A curated playlist of specific YouTube content.

Search Results

10 Jun 2026

AI for Scrum Product Owners and Product Managers - July 30, 2026

AI for Scrum Product Owners and Product Managers - July 30, 2026

Author: Rod Claar  /  Categories: AI for Scrum Product Owners and Product Managers  /  Rate this article:
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Event date: 7/30/2026 9:00 AM - 1:00 PM Export event

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  • Attending: 0
  • Seats: 12
  • Remaining: 12
  • Price: $299.00
$299.00

A practical, hands-on 4-hour live course for Scrum Product Owners, Product Managers, Agile Coaches, and Team Leads. This course gives you the AI skills you need to sharpen backlog refinement, sprint planning, sprint review, and product decision-making — without replacing your judgment, accountability, or product ownership.

No prior AI experience is required. Every technique is grounded in real Scrum and Agile practice and is ready to use in your next sprint.

Course Modules:

Module 1 — AI as Assistant, Not Product Owner Replacement Understand where AI fits in the product role, where it does not, and how to keep accountability firmly in human hands.

Module 2 — Prompt Patterns for the Full Product Cycle Learn prompt structures for product planning, sprint planning, sprint review, dependency analysis, and meeting preparation.

Module 3 — AI-Assisted Product Backlog Item Refinement Use AI to draft, split, and improve user stories, then apply your product knowledge to make them sprint-ready.

Module 4 — AI-Assisted Product Backlog Ordering Let AI surface trade-offs, risks, and dependencies — then own the final prioritization decision yourself.

Module 5 — Ethics, Privacy, Hallucination Control, and Human Judgment Understand AI risks in a product context and build habits that protect your team, your data, and your decision-making integrity.

Module 6 — Hands-On Scenario Lab Apply everything in a guided lab using realistic product scenarios with group debrief.

What Is Included:

Full 4-hour live instructor-led session
All prompt templates used in the course

Hands-on scenario lab
Live Q&A with the instructor throughout the session
Certificate of Completion from AgileAIDev.com
No required software purchases

Who Should Attend:

Scrum Product Owners
Product Managers working in Agile or Scrum teams
Agile Coaches Team Leads with product responsibilities

Registration:

Selelect the insance of this class and complete the registration form to reserve your seat. Sessions are limited to 12 participants. Registration closes when the session is full or 24 hours before the session start time.

Cancellation Policy: Cancellations made 72 or more hours before the session are eligible for a full refund or transfer to a future session. Cancellations made fewer than 72 hours before the session may be transferred to a future session but are not eligible for a refund.

Questions: rod@AgileAIDev.com

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13 Jul 2026

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