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These offerings are designed for groups who want to build practical AI capability together over time—using a repeatable, outcomes-focused approach. Explore the options below, then visit each class page for the full details.

Team Activation — align on goals, tools, and guardrails.

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AI + Scrum Cohorts — build habits across roles with hands-on practice.

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Tip: If you’re not sure where to start, choose AI Audit first—then map a cohort plan from the findings.

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21 Mar 2026

AI For Scrum Product Owners - June 2, 2026

Author: Rod Claar / Categories: AI for Scrum Product Owners /

Event date: 6/2/2026 9:00 AM Export event

Attending: 1
Seats: 12
Remaining: 11
Price: $0.00

$0.00

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Tue • June 2, 2026 9:00 AM – 1:00 PM PST

Course overview

Learn how to use GenAI and AI-integrated tools to enhance product ownership—drafting product requirements, improving collaboration, and applying your learning in a prompt engineering lab with real-world Product Owner scenarios.

Tools referenced in the course include (and may evolve over time): Jira Assistant, Spinach.io, ClickUp Brain, Zapier, and ChatGPT.

Key learning objectives

✓

Identify Product Owner responsibilities suitable for AI augmentation vs. those requiring irreplaceable human judgment.

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Review primary risks: ethics, data privacy, and algorithmic bias when using AI with product and team information.

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Apply prompt engineering principles to generate tangible outputs supporting Scrum events, artifacts, and commitments.

✓

Use AI to generate and refine user stories and backlog items for clarity, conciseness, and business-value alignment.

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Utilize AI to order a product backlog based on customer needs, strategic goals, and relevant parameters.

Example prompt (copy/paste)

Role: You are a Product Owner assistant. Task: Create 6 backlog items for . For each: user story, Given/When/Then acceptance criteria, assumptions, risks, and dependencies. Then propose an initial ordering and why.

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