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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.

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Search Results

3 Feb 2026

Get Started With AI Prompt Engineering - March 4. 2026

Author: Rod Claar  /  Categories: Prompt Engineering  /  Rate this article:
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Event date: 3/4/2026 3:00 PM - 6:00 PM Export event

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Wed • March 4, 2026 1:00 PM – 4:00 PM PST

Course overview

Prompt engineering is the foundation of effective AI use. You’ll learn how prompts work, then practice techniques to refine and adapt prompts for stronger, more consistent outcomes—including a hands-on prompting lab using mock and real-life scenarios. :contentReference[oaicite:0]{index=0}

Who it’s for

Built for people introducing AI to teams, scrum masters/agile coaches, product owners, and agile/product teams who want more accurate, useful, goal-aligned AI outputs. :contentReference[oaicite:1]{index=1}

Key learning objectives

✓
Explain how generative AI works and how prompts influence outputs. :contentReference[oaicite:2]{index=2}
✓
Apply core principles to write clearer, more effective prompts and refine them for better results. :contentReference[oaicite:3]{index=3}
✓
Use a prompting framework to customize AI outputs for specific tasks and team workflows. :contentReference[oaicite:4]{index=4}
✓
Practice in a prompting lab using realistic scenarios to build repeatable prompting habits. :contentReference[oaicite:5]{index=5}
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