title: Project Planning Katas description: Progressive practice exercises for developing expertise in Edge AI project planning using the interactive project planner and documentation templates author: Edge AI Team ms.date: 2025-07-21 ms.topic: kata-category estimated_reading_time: 5 minutes duration: 30-50 minutes category: project-planning difficulty: foundation to expert
prerequisite_katas: [] role_relevance:
- Project Managers
- Solutions Architects
- Business Analysts
- Engineering Managers target_audience:
- Project Managers
- Solutions Architects
- Business Analysts
- Engineering Managers
learning_objectives:
- "Develop proficiency in Edge AI project planning methodology and scenario selection"
- "Use interactive project planner agent for guided planning sessions"
- "Create comprehensive project documentation and capability mappings"
- "Apply iterative planning techniques for complex edge AI implementations" content_type: interactive-workshop real_world_application: |
- Manufacturing predictive maintenance project planning and scoping
- Edge AI deployment roadmap creation for operations optimization
- Multi-scenario planning for enterprise edge AI rollouts
- Capability mapping and technical requirements documentation
complexity_factors:
- "Multi-scenario analysis and comparative planning approaches"
- "Interactive agent navigation and effective prompt engineering"
- "Complex capability mapping between business needs and technical solutions"
- "Iterative refinement of project scope and technical requirements"
uses_prompts: [] uses_instructions: [] uses_agents:
- .github/agents/edge-ai-project-planner.agent.md repository_paths:
- .github/agents/
- project-adrs/
- docs/ repository_integration:
- "project-adrs/"
- "project-security-plans/"
- ".copilot-tracking/"
- "blueprints/"
success_criteria:
- "Successfully use project planner agent to generate comprehensive project plans"
- "Create detailed scenario documentation with capability mappings"
- "Demonstrate iterative planning refinement techniques"
- "Produce project documentation ready for stakeholder review and implementation" common_pitfalls:
- "Insufficient scenario detail": Include specific business context and technical constraints
- "Weak capability mapping": Clearly connect business requirements to technical Edge AI capabilities
- "Poor prompt formulation": Use specific, detailed prompts for better planning guidance
keywords:
- learning
- project planning
- edge ai scenarios
- project planner agent
- capability mapping tags:
- planning
- agent
- scenarios
- documentation
ai_coaching_enabled: true validation_checkpoints:
- "Project planner interaction: Verify successful agent usage and guided planning session completion"
- "Scenario documentation quality: Confirm comprehensive scenario details and capability mappings"
- "Planning refinement demonstration: Validate iterative improvement of project scope and requirements" extension_challenges:
- challenge_name: Multi-Project Portfolio Planning description: Plan comprehensive edge AI portfolio across multiple business units with interdependencies difficulty: advanced estimated_time: 90 minutes
- challenge_name: Stakeholder Alignment Workshop description: Facilitate planning workshop with multiple stakeholders using project planner difficulty: expert estimated_time: 120 minutes troubleshooting_guide: | Common Issues:
- Agent not responding properly: Verify correct agent file path and restart VS Code if needed
- Incomplete scenario generation: Provide more specific business context and technical constraints
- Weak capability mappings: Focus on connecting specific business outcomes to technical Edge AI features
- Planning session gets stuck: Use more targeted prompts and break complex planning into smaller steps
Edge AI project planning requires systematic approach to scenario selection, capability mapping, and documentation generation. These progressive katas teach project planning expertise through hands-on practice with the interactive edge-ai-project-planner agent and real project templates.
📊 Track Your Progress - Monitor your progress on your learning journey
This kata category includes AI coaching support to help guide you through:
- Interactive project planner agent usage and navigation
- Scenario selection methodology and business context analysis
- Capability mapping techniques connecting business needs to technical solutions
- Documentation generation and iterative planning refinement
By completing these project planning katas, you will:
- Develop AI-powered Project Planning Methodologies: Apply systematic Edge AI project planning approach and scenario selection
- Use Interactive Planning Tools: Navigate project planner agent effectively for guided planning sessions
- Create Comprehensive Documentation: Generate detailed project plans with capability mappings and technical requirements
- Apply Iterative Techniques: Refine project scope and requirements through structured iterative planning
- Connect Business to Technical: Map business outcomes to specific Edge AI technical capabilities and solutions
Streamlined practice for developing expertise in Edge AI project planning through progressive exercises that teach scenario selection, capability mapping, and comprehensive project documentation generation using the interactive edge-ai-project-planner agent and planning templates. These optimized katas focus on real project planning scenarios with minimal reading overhead.
These katas leverage real project planning assets:
- Edge AI Project Planner: Interactive agent for guided scenario selection and planning
- Planning Templates: Production-ready templates for scenario documentation and capability mapping
- Scenario Library: Comprehensive scenarios covering manufacturing, operations, and maintenance use cases
| # | Kata Title | Difficulty | Duration | Prerequisites | Technology Focus | Scaffolding |
|---|---|---|---|---|---|---|
| 100 | 100 - Basic Project Planning Prompt Usage | ⭐ Foundation | 30 min | — | GitHub Copilot | Heavy |
| 300 | 300 - Comprehensive Two-Scenario Planning | ⭐⭐⭐ Advanced | 90 min | → 100 | GitHub Copilot | Medium |
| 400 | 400 - Advanced Strategic Planning | ⭐⭐⭐⭐ Expert | 120 min | → 100, 300 | GitHub Copilot | Light |
| 400 | 400 - Enterprise Architecture Planning | ⭐⭐⭐⭐ Expert | 150 min | → 100, 300 | GitHub Copilot, Azure | Light |
| 400 | 400 - Stakeholder Alignment Strategies | ⭐⭐⭐⭐ Expert | 120 min | → 100, 300, 400 | GitHub Copilot | Light |
- Focus: Learn basic prompt engineering for project planning and develop structured planning workflows using AI assistance
- Skills: GitHub Copilot
- Time-to-Practice: Under 1 hour
- Focus: Learn multi-scenario project planning by analyzing multiple Edge AI scenarios and creating integrated implementation plans
- Skills: GitHub Copilot
- Time-to-Practice: 1-2 hours
- Focus: Learn strategic planning for Edge AI initiatives from proof-of-concept through enterprise scaling and Develop enterprise architecture planning expertise and comprehensive system design with AI assistance for complex Edge AI transformations with multi-facility
- Skills: GitHub Copilot, Azure
- Time-to-Practice: 7 hours
These streamlined katas prepare you for:
- Edge AI Project Scoping: Systematic approach to defining project requirements and scope
- Scenario-Based Planning: Matching business needs to proven implementation patterns
- Capability Analysis: Understanding platform dependencies and implementation roadmaps
- Documentation Generation: Creating comprehensive project documentation using templates
- Basic understanding of Edge AI and industrial automation concepts
- Familiarity with VS Code and GitHub Copilot Chat (helpful but not required)
- Ready to engage with hands-on project planning practice
- Edge AI Project Planner Agent - Interactive planning tool with guided scenarios
- Project ADRs - Architecture decision templates for technical planning documentation
- Solution Documentation - Comprehensive project examples and implementation patterns
- Interactive project planner agent for guided scenario selection and planning
- Capability mapping templates connecting business needs to technical solutions
- Scenario library covering manufacturing, operations, and maintenance use cases
Common Issues:
- Agent not responding properly: Verify correct agent file path and restart VS Code if needed
- Incomplete scenario generation: Provide more specific business context and technical constraints in prompts
- Weak capability mappings: Focus on connecting specific business outcomes to technical Edge AI features
- Planning session gets stuck: Use more targeted prompts and break complex planning into smaller, manageable steps
- Documentation quality issues: Reference existing project examples and templates for structure and detail level
Tips for Success:
- Start with clear business context and specific technical constraints
- Use iterative approach - refine scenarios through multiple planning sessions
- Leverage existing scenario templates and examples for guidance
- Focus on concrete business outcomes rather than abstract technical features
AI Coaching Support Available:
- Interactive project planner agent usage and navigation guidance
- Scenario selection methodology and business context analysis assistance
- Capability mapping techniques connecting business needs to technical solutions
- Documentation generation and iterative planning refinement coaching
How to Access:
- Use the 🤖 AI coaching prompts embedded within each kata
- Access the edge-ai-project-planner agent for guided planning sessions
- Request assistance with specific planning challenges or scenario development
Ready to start Edge AI project planning practice?
🎯 Begin with 100 - Basic Prompt Usage
Develop systematic Edge AI project planning through streamlined, focused practice.
🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.