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AI Learning Over Time • Cohort-Based

Cohorts and Workshops

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.
  • AI Audit — assess readiness, risks, and highest-value use cases.
  • AI + Scrum Cohorts — build habits across roles with hands-on practice.
  • AI for Scrum Teams — practical, role-based workflows your team can adopt.
Tip: If you’re not sure where to start, choose AI Audit first—then map a cohort plan from the findings.

Ready to start?

Pick your next step—start with free learning, watch the videos, or browse the full course catalog.

Prefer Virtual or On-Site delivery for your team? See Corporate Training Offerings.

Search Results

26 Jan 2026

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2 Feb 2026

Understanding the ScrumMaster's Daily Role: Facilitator, Coach, and Problem...

A ScrumMaster plays a pivotal role in agile development, acting as a facilitator and coach to ensure the team adheres to Scrum principles. Unlike traditional managers, ScrumMasters focus on fostering collaboration and productivity without direct authority over the team. Their daily responsibilities include organizing Scrum events like daily stand-ups and sprint reviews to promote transparency and adaptation. They also work to remove any impediments that hinder team progress, provide coaching on Scrum practices, engage stakeholders to incorporate feedback, and promote continuous improvement through retrospectives and learning opportunities. Despite the challenges of managing team dynamics and varying organizational cultures, ScrumMasters are essential in empowering teams to deliver value and adapt to changing requirements. Their work involves a blend of facilitation, coaching, and problem-solving, making them the unsung heroes of agile development.

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24 Feb 2026

Step 1: What AI Can (and Can’t) Do for Scrum Teams

AI is a productivity amplifier—not a Product Owner, not a Scrum Master, and not a Developer.

Used correctly, it accelerates learning, drafting, summarizing, and exploring options. Used poorly, it replaces thinking with automation theater.

This step helps your team position AI as a supporting teammate, not a decision-maker.

Author: Rod Claar
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24 Feb 2026

Step 2: Prompts That Produce Better User Stories

AI can help—but only if the prompt is structured.

This step introduces repeatable prompt patterns that improve:

  • Intent clarity

  • Constraints visibility

  • Acceptance criteria quality

  • PO alignment

Author: Rod Claar
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24 Feb 2026

Step 3: Backlog Refinement with AI (Without Losing the “Why”)

The Core Risk

When teams use AI in refinement, a common failure mode appears:

  • Stories get cleaner

  • Acceptance criteria get longer

  • Technical detail increases

  • Business intent becomes less visible

Scrum optimizes for value delivery, not documentation density.

AI must support the “why” behind the work.

Author: Rod Claar
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