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Course Overview
This workshop introduces participants to the transformative capabilities of AI in Agile practices, enhancing project management, team dynamics, and delivery outcomes. Learn to leverage leading AI technologies (Claude, Gemini, Jasper, CoPilot, ChatGPT-4o) to streamline decision-making, automate tasks, and provide analytics for increased efficiency.
Who Should Attend
- Product owners
- Scrum masters
- Agile team members
- Project managers
- Anyone seeking to integrate AI into Agile environments
Course Outline
Module 1: Generative AI Foundations
- Understand essential AI terms
- Explore various AI models
- Learn prompt writing
- Discuss ethical AI
- Discover Agile & AI synergy
Module 2: AI Product Idea Generation and Brainstorming
- Generate product ideas with AI
- Facilitate brainstorming and communication
- Create high-level project plans
- Define key Agile roles
- Integrate API tools
Module 3: Vision & Strategy Creation
- Draft Agile press releases
- Develop elevator pitches
- Distinguish North Star vs. product vision
- Build product brand awareness
- Use question words for clarity
Module 4: Visual & Contextual Roadmapping
- Create epic-level roadmaps
- Design swim-lane roadmaps by quarter
- Build contextual and visual roadmaps
Module 5: Sample Product Backlog Creation
- Introduce features and stories
- Break down complex work
- Create and allocate backlog
Module 6: Create a Perfect Persona
- Identify and create personas
- Use visual empathy mapping
Module 7: Build Amazing Team Working Agreements
- Define workplace culture, norms, and standards
- Create meeting templates and guidelines
- Develop team working agreements
- Understand communication styles
- Achieve team sign-off
Module 8: Exporting Assets From AI
- Export assets using prompts
- Perfect export results
- Validate and verify data
- Build AI memory
- Create a prompt library
Module 9: Generating Meaningful AI Prompts
- Master prompt creation
- Teach AI to ask first
- Structure better prompts
- Leverage AI in marketing and media
- Review Agile AI case studies
Module 10: Course Closure
- Review content
- Open Q&A
- Reading list
- Final thoughts