Getting Started
June 25, 2026 · View on GitHub
Welcome to the AI on Edge Flagship Accelerator! This guide helps you choose the right path based on your role and objectives.
🎯 Choose Your Path
🚀 General User - Deploy Solutions
Want to deploy and use edge AI solutions?
- Deploy pre-built blueprints for immediate value
- Step-by-step instructions for Terraform and Bicep
- Azure IoT Operations integration
- Time commitment: 2-4 hours for complete deployment
Perfect for: IT professionals, solution architects, and teams who want to deploy proven edge AI capabilities
🏗️ Blueprint Developer - Create Custom Solutions
Want to create custom deployment blueprints?
- Combine existing components into custom blueprints
- Design solutions for specific use cases
- Multi-component system architecture
- Time commitment: 1-2 days for custom blueprint creation
Perfect for: Solution architects, senior developers, and teams building tailored edge AI solutions
⚙️ Feature Developer - Contribute Components
Want to develop new features and components?
- Add new infrastructure components
- Contribute to the platform ecosystem
- Advanced development workflows and testing
- Time commitment: Multiple days for feature development
Perfect for: Platform engineers, open source contributors, and teams extending platform capabilities
Scenario Deployment Guides
End-to-end deployment walkthroughs for specific use cases combining multiple components:
- Leak Detection Scenario on full-multi-node-cluster — Deploy a vision-based leak detection scenario built on top of the full-multi-node-cluster blueprint with edge AI inference, video capture, and cloud alerting (~2 hours)
🎓 Accelerate Your Learning
New to edge AI development? Our Learning Platform provides hands-on training:
- 🥋 Katas: Focused practice exercises (15-45 minutes)
- 🧪 Training Labs: Comprehensive hands-on experiences (2-8 hours)
- 🤖 AI Coaching: Built-in VS Code coaching prompts for discovery-based learning
🚀 Quick Start Documentation & Learning:
npm run docs
This opens the documentation with both the main docs and the interactive Learning tab, where you'll find:
- 🥋 Katas: Focused practice exercises
- 🧪 Training Labs: Comprehensive hands-on experiences
- 🤖 AI Coaching: Built-in VS Code coaching prompts
💡 Tip: Once the docs open, click on the "Learning Platform" section in the sidebar to access all learning materials.
📋 Quick Reference
Essential Prerequisites
- Azure subscription with appropriate permissions
- GitHub account with access to this repository
- Docker Desktop installed and running
- Visual Studio Code with Dev Containers extension
- HVE Core extension — provides AI prompts, agents, and coding instructions (auto-installed in Dev Container)
Next Steps After Getting Started
- Explore Blueprints - Ready-to-deploy solutions
- Browse Components - Reusable infrastructure building blocks
- Join Discussions - Connect with the community
- Check Contributing Guide - Learn how to contribute
🆘 Need Help?
- 📖 Complete Documentation - Comprehensive guides and references
- 🐛 Issue Tracker - Report problems
- 💬 Discussions - Ask questions and share ideas
- 📧 Support - Get additional support
Ready to begin? Choose your path above and start building edge AI solutions!