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Getting Started

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?

General User Guide →

  • 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?

Blueprint Developer Guide →

  • 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?

Feature Developer Guide →

  • 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

🎓 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​

  1. Explore Blueprints - Ready-to-deploy solutions
  2. Browse Components - Reusable infrastructure building blocks
  3. Join Discussions - Connect with the community
  4. Check Contributing Guide - Learn how to contribute

🆘 Need Help?​

Ready to begin? Choose your path above and start building edge AI solutions!