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AI Training - Practical Applications for Modern Development

This comprehensive training category covers the integration of artificial intelligence tools and techniques into professional software development workflows. Topics include leveraging AI assistants for code generation and debugging, implementing AI-powered testing strategies, using machine learning models in application development, and best practices for prompt engineering. Participants learn to effectively collaborate with AI tools to enhance productivity, improve code quality, and accelerate development cycles while maintaining professional standards. The training emphasizes hands-on experience with current AI platforms, practical implementation strategies, and staying current with rapidly evolving AI capabilities in the software development ecosystem.

This description positions AI training as a practical, professional development offering that would fit well alongside your existing training in Scrum, TDD, and software design patterns. It emphasizes the practical application aspect that seems to align with your teaching philosophy of hands-on, real-world skills.

AI-Enhanced Scrum: Transforming Agile Development with Artificial Intelligence

Revolutionize Your Agile Development with AI-Enhanced Scrum

Rod Claar 0 109

AI-Enhanced Scrum Course Summary

 

Overview

AI-Enhanced Scrum is a comprehensive training program that transforms traditional Agile development by integrating Artificial Intelligence throughout the entire software development lifecycle. This course teaches teams how to leverage AI for enhanced productivity, quality, and consistency from initial requirements gathering through final deployment.

What You'll Learn

Students master a complete AI-driven development workflow starting with interactive PRD (Product Requirements Document) creation through intelligent AI questioning, progressing through advanced UI design generation using sophisticated non-traditional prompting techniques, UML visual modeling, and culminating in comprehensive technical specification generation that synthesizes all project artifacts.

The course covers AI-enhanced Acceptance Test Driven Development (ATDD) and Test Driven Development (TDD) practices, showing how well-crafted tests guide AI development agents to optimal solutions. Students learn to maintain living documentation where PRDs, UI designs, UML models, technical specifications, tests, and code remain perfectly synchronized throughout development.

Key Modules

  • AI-Driven Requirements Gathering: Interactive PRD creation with intelligent AI interviewing
  • Advanced UI Design Generation: Revolutionary prompting techniques for interface design
  • Visual Architecture Modeling: UML diagram generation and refinement
  • Comprehensive Technical Specifications: AI synthesis of all project artifacts into implementation guides
  • AI-Enhanced Testing: ATDD and TDD practices with AI development agents
  • Quality Assurance & Defect Resolution: AI-powered debugging and consistency validation
  • Sprint Management: AI-enhanced planning, tracking, and retrospectives

Target Audience

Perfect for Product Managers, Scrum Masters, UX/UI Designers, Solution Architects, Technical Leads, Development Teams, and Organizations seeking to modernize their Agile practices with AI automation while maintaining high quality and comprehensive documentation.

Instructor Expertise

Led by an industry veteran with decades of software development experience, from early C++ development to cutting-edge AI implementation, with extensive expertise in teaching Scrum, TDD, software design patterns, and system architecture.

Key Benefits

  • Accelerated Development: Faster feature delivery through AI automation
  • Enhanced Quality: Comprehensive testing and documentation consistency
  • Improved Communication: Clear visual models and specifications for all stakeholders
  • Reduced Technical Debt: AI-maintained synchronization across all project artifacts
  • Modern Workflow: Integration of latest AI tools with proven Agile methodologies

Course Outcome

Graduates will transfo

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Keeping Up With AI is a Struggle — But You Don’t Have To Do It Alone

AI-Enhanced Scrum turns AI overwhelm into a practical, sustainable advantage for Agile teams. Join the November 5–7, 2025 live virtual course.

Rod Claar 0 13

Keeping Up With AI is a Struggle — Summary

Feeling overwhelmed by AI? You’re not alone. New models and “breakthroughs” land daily, but the goal isn’t to chase every tool—it’s to integrate the right ones, intentionally and sustainably, into your existing Scrum workflow.

The Real Struggle

  • Teams: Pressure to “use AI” without a starting point.
  • Leaders: Noise, uncertainty, and fear of bad investments.
  • Scrum Masters: How to add AI without breaking Agile principles.

From Struggle to Strategy

AI-Enhanced Scrum connects AI directly to Scrum practices so you can:

  • Improve backlog refinement and sprint planning, reducing ceremony fatigue.
  • Turn vague requests into crisp user stories with acceptance criteria in seconds.
  • Automate repeatables (test cases, retro summaries) and free time for creativity.
  • Measure real ROI in hours saved and increased velocity.

Results reported: ~2× faster planning and 30–40% improvement in sprint throughput using these techniques.

AI Won’t Replace Scrum—It Amplifies It

Use AI to spot blockers early, surface patterns across months of work, and accelerate requirements discovery—while keeping human judgement at the center.

Join the Live Program

AI-Enhanced Scrum: Transforming Agile Development with AI
November 5–7, 2025 — Virtual, Live

Register now

Final Thought

Keeping up with AI isn’t about running faster—it’s about running smarter. Scrum teaches us to inspect and adapt; AI gives us sharper lenses to do it. Stop chasing the future and start building it—one sprint at a time.

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