Agile Development with AI – Private Team Training
About Course
AI is changing how software is built, but most teams are being asked to adapt without a clear framework for quality, judgment, or collaboration.
AI is rapidly changing how software is designed, built, and evolved. Many development teams are experimenting with AI tools, but few have developed shared practices for using AI well—as a thinking partner that improves clarity, design quality, and long-term maintainability.
Agile Development with AI (ADAI) is a live 4-hour private online training designed to help experienced development teams integrate AI into Agile software development in a way that strengthens—not compromises—code quality, collaboration, and shared understanding.
This training goes beyond tools and prompts. It focuses on how teams think, reason about change, and make design decisions together when AI becomes part of the development process.
Delivered privately, the course is tailored to your team’s context, challenges, and level of experience, creating a shared foundation for working effectively with AI.
How the Training Works
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Delivered live as a private team training
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Scheduled to fit your team’s availability (remote online)
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Highly interactive: discussion, guided exercises, and live demonstrations
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Content is adapted to your team’s tools, language, and experience level
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Emphasis on learning together as a team, not individual optimization
Each engagement is adapted to your team’s experience level, development practices, and organizational context.
What Makes This Training Different
Most AI training focuses on tools and techniques.
ADAI focuses on thinking.
Your team will develop:
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A shared vocabulary for AI-assisted development
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Practical heuristics for decision-making with AI
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Greater confidence navigating uncertainty and change
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Alignment between technical practices and human judgment
This is not about replacing developers—it’s about helping teams do their best work in a rapidly changing landscape.
Outcomes for Your Organization
After the training, teams typically report:
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Improved clarity around how (and when) to use AI
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Stronger collaboration and shared understanding
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More confidence in design decisions
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Reduced friction and rework
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A sustainable foundation for evolving practices over time
Participants learn how Agile principles—when practiced deliberately—become the structure that allows AI to contribute meaningfully without eroding judgment, intent, or design.
For developers, this course restores agency. AI becomes a thinking partner instead of a source of noise.
For leaders, it creates alignment. Teams learn a shared language and cadence for using AI responsibly, predictably, and effectively.
This means:
•More predictable outcomes
•Less rework caused by premature implementation
•Teams that can explain why they are building something—not just how
•A shared approach to AI that scales beyond individual experimentation
Course Structure
The course consists of four 60-minute sessions, typically delivered as one half-day session:
1. Agile Principles
How principles amplify both strengths and weaknesses when working with AI
2. Development as Discovery
Why learning—not execution—is the true unit of progress, and how AI accelerates feedback
3. Pairing with AI
How to collaborate with AI while retaining human judgment and design intent
4. Outside-In and Inside-Out Development
Separating analysis from design to build software that remains adaptable and meaningful
Each session blends short lectures, guided discussion, live demonstrations, and reflective pauses that help teams internalize new ways of thinking—not just new techniques.
How This Course Fits with Other Offerings
Agile Development with AI is part of the AI Developer Essentials curriculum.
•It establishes the conceptual foundation for working with AI in software development
•It complements the AI-Driven Agile Collaboration Lab, which focuses on hands-on experimentation and coaching
•Together, they balance understanding and practice, helping teams move from insight to execution
Teams often begin with this course to establish shared mental models before moving into deeper labs or technical practices.
Instructor – David Scott Bernstein
Author of Beyond Legacy Code
Co-Author of Prompt Engineering for Everyone
Founder of The Passionate Programmer
David has trained more than 10,000 professional developers worldwide in Agile development, Extreme Programming, and software design. His work focuses on helping teams build software that remains simple, extensible, and testable—now extended into the era of AI collaboration.
What’s Next
If you’re interested in a private delivery of this course for your team—or in pairing it with a hands-on collaboration lab—you’re invited to schedule a conversation.
Private training engagements are scoped collaboratively to ensure fit, depth, and impact. This is a discovery call to explore fit, goals, and next steps. No pressure. Just clarity.
Schedule a CallWhat Will You Learn?
- Use AI as a thinking and design partner, not just a code generator
- Apply Agile and Extreme Programming principles when working with AI
- Reason about design forces, tradeoffs, and change with AI support
- Maintain testability, extensibility, and clarity in AI-assisted code
- Develop shared team practices for AI collaboration
- Avoid common failure modes of AI-assisted development
