AI for DELIVERY TEAMS

Rating 5/5: “Energising, relevant, and eye-opening! The AI demos were practical and mind-blowing. This course helped me see how AI isn’t replacing teams—it’s empowering them. We left with a real AI experiment to take into our next Sprint.”
Rating 5/5: “Fantastic facilitation. This course delivered hands-on tools we could actually use, not just talk. I now know how to use AI to improve our backlog, accelerate testing, and have better conversations in our team. Highly recommend!”
Rating 5/5: “So many lightbulb moments. I loved how this session brought together Scrum, systems thinking, and AI—all in one day! Plus, it was fun and practical, not overwhelming or too technical.

Overview

  • AI for Delivery Teams is a dynamic one-day course designed for Agile professionals who want to augment their ways of working with the power of Artificial Intelligence—without compromising team values, safety, or trust.

  • This course goes far beyond tool demos. You’ll learn how to thoughtfully integrate AI into your Scrum and Agile delivery processes, ethically and experimentally. It’s for teams who want to explore how AI can help them deliver faster, think clearer, and improve flow—using real-world use cases and team-led experiments.

  • Led by an experienced Agile facilitator, this course brings together interactive learning, hands-on experimentation, and practical frameworks—all grounded in the Agile Manifesto, Scrum Guide, and lean principles.

  • Whether you're a Developer, Scrum Master, or Product Owner, this course will equip you to embrace AI responsibly, amplify your impact, and lead your team into the future of agile delivery
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Who should attend AI for Delivery Teams?

  • This course is ideal for:

  • Agile Delivery Teams (Developers, QAs, Designers)

  • Scrum Masters and Agile Coaches

  • Product Owners and Product Managers

  • Business Analysts, Change Agents, and Delivery Leads

  • Teams delivering digital, data, or customer-centric outcomes

  • It’s especially valuable for teams working in Scrum or Kanban environments, and wanting to explore responsible AI use in alignment with agile practices.

What will you learn?

  • Discover how AI fits into Agile principles, Scrum values, and empirical process control
  • Explore real use cases for AI across the Agile delivery lifecycle: from backlog refinement to Sprint Retrospectives
  • Learn how AI can augment—not replace—Scrum roles including Product Owner, Scrum Master, and Developers
  • Use the AI Backlog Item Canvas to safely pilot AI stories and features
  • Define a team-level AI working agreement and guardrails for ethical and responsible AI usage
  • Identify where AI can reduce bottlenecks and support continuous improvement
  • Leave with a ready-to-run AI experiment for your next Sprint
  • We’ll explore tools and platforms like ChatGPT, Copilot, Claude, Replit, and more—but the real focus is how to think and work better with AI in your teams
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