$995.00 Event date: 7/30/2026 9:00 AM - 7/31/2026 5:00 PM Export event Attending: 0 Seats: 12 Remaining: 12 Price: $995.00 Only registered users can register for an event. Please login or register. Rod Claar / Thursday, June 4, 2026 / Categories: AI Augmented Scrum AI-AUGMENTED SCRUM FOR PRODUCT TEAMS July 30-31, 2026 Scrum Meets AI — Practical AI and Agile for Today's Development Teams This course gives Scrum practitioners a practical, repeatable framework for integrating AI tools into every aspect of the Scrum process — from backlog refinement and persona generation to Sprint ceremonies, code quality, and retrospective pattern analysis. Attendees leave with working AI prompts, a team adoption roadmap, and an optional certification credential recognized by AgileAIDev.com. The course spans two days with four modules, each approximately three hours. Day 1 covers Scrum foundations and AI-enhanced product discovery; Day 2 focuses on ceremony integration, code quality, TDD/DoD workflows, and certification preparation. Every module includes live tool demos using Claude.ai and structured hands-on activities with real or sample backlog data. Modules at a glance Module 1 · Day 1 AM Foundations: Scrum Meets AI ~3 hours · 2 hands-on activities Scrum roles, events, and artifacts refresh from the Scrum Guide 2020 AI and LLM fundamentals for Scrum practitioners AI augmentation vs. replacement — the human-AI partnership model Responsible AI: hallucination, bias, privacy, and over-reliance risks Aligning AI use with the five Scrum values Module 2 · Day 1 PM AI-Enhanced Product Discovery and Backlog ~3 hours · 2 activities + prioritization challenge AI-accelerated product discovery and proto-persona generation Writing INVEST-compliant User Stories with AI assistance Backlog refinement with structured AI prompts Epic decomposition and story splitting patterns WSJF and MoSCoW prioritization with AI as advisor Module 3 · Day 2 AM AI in Sprint Ceremonies and Team Collaboration ~3 hours · 1 applied activity per section AI-drafted Sprint Goals with team review and commitment Dependency mapping and risk flagging before Sprint start Daily Scrum prep, follow-up, and impediment tracking Sprint Review summary generation in under 30 minutes Retrospective pattern analysis across multiple Sprints Module 4 · Day 2 PM AI for Quality, Delivery ~3 hours · workflow design + exam prep AI-assisted code review, refactoring, and design patterns TDD and ATDD integration with AI tools Definition of Done and CI/CD pipeline evaluation Designing a phased AI adoption roadmap for your team Print 4 Rate this article: No rating Tags: Artificial IntelligenceAgileScrumPrompt EngineeringCode QualityCI/CD Please login or register to post comments.