Everyone wants their developers to “use AI more effectively”, but what does that actually mean in practice? Most teams either throw tools like Copilot or ChatGPT at their developers and hope for the best, or they get stuck in endless debates about AI hype vs. AI fear. The result? Wasted potential and uneven adoption.

In this session, we’ll share a playbook for rolling out AI training that actually sticks. Based on real-world experience training dev teams to adopt AI in daily workflows, you’ll learn:
- Why some developers resist AI and how to turn skeptics into explorers!
- Practical training formats that work: from “prompt kata” exercises to AI-assisted code reviews.
- How to measure success: not just “did they use it,” but “did it improve the sprint?”
- Guardrails every team needs to avoid over-reliance, bias, and bad outputs.
- Case studies on how AI saved time, reduced bugs, and improved developer happiness.

Whether you’re a team lead, architect, or curious developer, you’ll walk away with actionable strategies to bring AI adoption from “nice idea” to daily practice.