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AI4Agile Course: From AI Experiments to Repeatable Team Capability

From Prompting to Operating Capability

You already use ChatGPT, Claude, or Gemini. Now learn how to turn isolated prompts and personal shortcuts into AI-supported work your team can reproduce, evaluate, afford, and govern.

AI4Agile gives Scrum Masters, Agile Coaches, Product Owners, and Product Managers a practical system for:

  • Applying AI to real agile and product work
  • Preserving effective workflows beyond one person or chat
  • Choosing the right model and controlling costs
  • Defining quality, ownership, review, and stop rules
  • Leading responsible AI adoption at the team level.

At the center of the course is the A3 Delegation System, a practical framework for deciding what AI should assist, what it may automate, and what must remain human work.

No coding required.

The AI 4 Agile Online Course is in English. 

What You Will Leave With

By the end of the course, you will have designed one governed AI workflow for your own work, including:

  • Its quality standard
  • The context and instructions AI needs
  • The appropriate model or execution path
  • A named human owner
  • Review and escalation rules
  • An inspection cadence for detecting drift.

More than 16 hours of video, exercises, templates, the complete MegaBrain.io case study, and lifetime access.

Launch price: $149, one-time payment.

14-Day Money-Back Guarantee —

A Risk-Free Career Investment

Electronic Withdrawal Function for Consumers Situated in the European Union

Please note: If you concluded a purchase of this course online as a European Union-based consumer and have a statutory right of withdrawal, you may submit your withdrawal statement through our electronic withdrawal function.

Bookings by companies, public authorities, organizations, self-employed professionals, freelancers, or other business customers are governed by our Terms and Conditions, in particular the provisions on withdrawal from participation, cancellation, rebooking, substitute participation, and refunds.

Testimonials

More than 600 peers have signed up for the course; here is what they say (4 of 20+ testimonials):

  • “Shoutout to Stefan Wolpers for a rich and inspiring training course. 🙌 Clear, practical, and impactful. Thank you!” (Link.)
  • “Just completed Stefan Wolpers' AI 4 Agile Course — Master AI Integration for Agile Practitioners. It is an incredible course.” (Link.)
  • “Strong value to go through. Lots of inspiration, practical relevance, and a great price-value balance.” (Link.)
  • “Just completed the “AI 4 Agile — Master AI Integration for Agile Practitioners” course by Stefan Wolpers — and it completely changed how I see the future of agility.” (Link.)

What You Will Learn to Master

AI4Agile is not a collection of disconnected prompts. It takes you through a practical progression from using AI for individual tasks to building repeatable, reviewable, and responsible AI-supported work.

1. Apply AI to Real Agile and Product Work

Start with immediate, practical applications for the work you already do.

You will learn how to use ChatGPT, Claude, and Gemini to support:

  • Product Backlog analysis and refinement
  • Sprint Planning preparation
  • Retrospective design and data analysis
  • Stakeholder communication
  • Research and product discovery
  • Team-data analysis
  • Coaching and facilitation preparation
  • Risk identification and decision support.

The goal is not to delegate your judgment. It is to reduce the time spent gathering, structuring, and rewriting information so you can focus on the decisions that require experience and context.

2. Turn Effective Prompts into Reusable Systems

A useful prompt stored in one person’s chat history is not an organizational capability.

You will learn how to preserve your expertise in reusable AI systems using:

  • Structured prompt templates
  • ChatGPT Projects and Custom GPTs
  • Claude Projects and Skills
  • Gemini Gems
  • Persistent context and knowledge files
  • File-based second-brain systems
  • Repeatable research and analysis workflows.

This allows you to stop rebuilding the same context from scratch and makes successful ways of working available beyond the person who created them.

3. Choose the Right Model and Control the Cost

Using the most expensive model for every task is not a strategy.

You will learn how to distinguish between work that requires:

  • A frontier reasoning model
  • A faster and cheaper general-purpose model
  • A specialized AI tool
  • Deterministic automation
  • Human judgment without AI assistance.

You will also explore token economics, model routing, and sufficiency standards to explain why a particular execution path is appropriate for a task.

The objective is not to find the cheapest model. It is to select the least expensive option that reliably meets the required quality standard.

4. Govern AI Delegation with the A3 Delegation System

The central framework of the course is the A3 Delegation System.

It helps you decide:

  • What AI should assist
  • What AI may automate
  • What should remain human work
  • What quality standard the output must meet
  • Who owns the result
  • When human review is required
  • When the workflow must stop or escalate
  • How the delegation will be inspected for drift.

You will work with practical artifacts, including:

  • The AI Definition of Done
  • The A3 Handoff Canvas
  • The Routing Policy
  • The AI Working Agreement
  • The Delegation Audit

Together, these artifacts turn informal AI use into an explicit and inspectable way of working.

5. Lead Responsible AI Adoption

AI adoption is not primarily a tool rollout. It changes work, expectations, responsibilities, and professional identities.

You will learn how to facilitate conversations about:

  • Privacy and approved data boundaries
  • Accountability for AI-generated outputs
  • Acceptable evidence and quality standards
  • The difference between experimentation and production use
  • Resistance, uncertainty, and fear of displacement
  • Emerging AI debt
  • Team-level working agreements
  • Responsible scaling across an organization.

This positions you to contribute beyond your own productivity and help teams introduce AI without losing transparency, ownership, or human judgment.

Your Course Project: Build One Governed AI Workflow

Throughout the course, you will apply the material to one recurring task from your own work.

This could be:

  • Preparing a stakeholder update
  • Analyzing Retrospective feedback
  • Refining Product Backlog items
  • Conducting product research
  • Producing a risk assessment
  • Synthesizing team data
  • Maintaining a recurring report.

By the end of the course, you will have defined:

  • The purpose of the workflow
  • The context and data it requires
  • The expected quality standard
  • The appropriate AI model or execution path
  • The role of human review
  • The named owner
  • Escalation and stop rules
  • The inspection cadence.

You will leave with more than knowledge about AI. You will have a concrete, governed workflow you can use, test, and improve.

The MegaBrain.io Case Study

The course is built around MegaBrain.io, a fictional AI product company facing a critical release, investor pressure, customer churn, technical debt, cross-team dependencies, and deteriorating team morale.

You will work with realistic materials such as:

  • Product Backlog items
  • Sprint and team data
  • Stakeholder requests
  • Organizational constraints
  • Conflicting priorities
  • Governance decisions
  • AI-generated outputs
  • Workflow and delegation problems.

The scenario provides a safe environment to test techniques before applying them in your own organization.

It also connects the individual modules into a single continuous story, so you can see how AI use evolves from isolated assistance to broader operational capability.

What Is Included

Your enrollment includes:

  • More than 16 hours of self-paced video lessons
  • Practical exercises and assignments
  • The complete two-act MegaBrain.io case study
  • Reusable prompts and templates
  • A3 Delegation System working materials
  • Course slides and supporting graphics
  • Examples for ChatGPT, Claude, and Gemini
  • Custom GPTs and other course tools
  • Lifetime access to the course
  • An assessment-based AI4Agile Foundation Certificate.

You can complete the course in sequence or start with the modules most relevant to your current work.

Who This Course Is For

AI4Agile is designed for:

  • Scrum Masters
  • Agile Coaches
  • Product Owners
  • Product Managers
  • Project Managers and Delivery Managers
  • Team and organizational coaches
  • Leaders responsible for introducing AI-supported work.

The course is especially relevant when you already experiment with generative AI but lack a repeatable system for applying, evaluating, and governing it.

Previous AI experience is helpful but not required. The foundation modules provide the necessary starting point, and the advanced modules take you beyond basic prompting.

What You Do Not Need

You do not need:

  • Coding skills
  • Access to an enterprise AI platform
  • Experience building software agents
  • Responsibility for an organization-wide AI transformation

You can complete the course with ChatGPT, Claude, or Gemini and apply the material to your own work at an individual or team level.

From Personal Productivity to Professional Capability

Using AI occasionally can save time.

Building repeatable, quality-controlled, and accountable AI-supported work creates a professional capability.

AI4Agile helps you make that transition.

Launch price: $149

  • One-time payment
  • No subscription
  • Lifetime access
  • 14-day money-back guarantee.

Turn Your AI Use into a Repeatable Capability! 🙂

Frequently Asked Questions

  • How is this different from other AI courses? Most AI training teaches tools or individual productivity. This course is designed for agile team environments and covers the full arc from personal use to operational capability, including systems, economics, governance, and change management. Best of all, many of the practices generally apply to knowledge work and applying AI in larger organizations.
  • I already own v2. Do I need the waitlist? No. V3 is included in your existing license at no cost. It will appear in your course access on launch day.
  • Do I need prior AI experience? No. The course starts with agile-focused fundamentals and builds systematically to the advanced material.
  • What AI tools do I need? Access to any major language model (ChatGPT, Claude, Gemini, or similar). Free tiers work for most exercises; where a paid plan or a specific tool is required, the exercise says so.
  • How much time commitment is required? Plan 2 to 3 hours per week for the core learning, with immediate application to your regular agile work.
  • Is this about replacing human judgment with AI? No. The entire delegation lifecycle exists to keep human judgment in charge of the decisions that need it. “Avoid” is a first-class category, with criteria.
  • How current will the content remain? The frameworks are tool-agnostic, model capability claims are dated, and the course teaches durable methods over interface walkthroughs.
  • Will I be able to train others in these approaches? Yes. The course includes materials and strategies for introducing these frameworks to your team and organization. Many participants in the corresponding AI4Agile BootCamp Cohort become internal change agents for the responsible adoption of AI within their organizations.