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Personally Curated Video Collection

YouTube Videos Selected by Rod Claar

This page features a personally curated collection of YouTube videos selected by Rod Claar to help serious learners stay current with practical AI, software development, agile thinking, and emerging tools. Rather than sending you to a random stream of content, this collection highlights trusted creators and useful videos chosen for relevance, clarity, and real-world value.

  • Personally curated by Rod Claar for practitioners who want signal over noise.
  • Includes videos from many of today’s strongest AI and technology educators and producers.
  • Designed to help you discover practical, high-value content without wasting time sorting through endless channels.

Why this collection exists

The goal is to surface videos that are worth your attention: useful tutorials, thoughtful analysis, practical demos, and creator perspectives that can help you improve how you work with AI.

Featured producers

This collection includes many top video producers in the AI space, including:

Nate B. Jones Mathew Berman Fahd Mirza

What you will find here

Expect videos covering AI tools, models, prompting, coding support, agents, workflows, and related topics that matter to developers, agile professionals, product people, and continuous learners.

Search Results

8 Feb 2026

AI For Scrum Product Owners - March 31,. 2026

Author: Rod Claar  /  Categories: AI for Scrum Product Owners  /  Rate this article:
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Event date: 3/31/2026 11:00 AM Export event

  • Attending: 0
  • Seats: Unlimited
  • Remaining: Unlimited
  • Price: $299.00 - $499.00
$299.00 - $499.00
Only registered users can register for an event. Please login or register.
Tue • Mar 31, 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.
Review primary risks: ethics, data privacy, and algorithmic bias when using AI with product and team information.
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.
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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