Mission Objective
📨 CLASSIFIED TRANSMISSION
Message to Agent Red Hat:
The LEGO train is running without a driver!
Your mission: develop and deploy an AI on board the train to stop it before it derails.
This message will self-destruct in five seconds. Four… Three… Two… One…
🎵 tum tum tada tum tum tada tum tum tada tum tum tada tiduduuummm tiduduuummm 🎵
🎯 Your Mission
As an elite Red Hat agent, you must leverage cutting-edge Edge AI technologies to save the day! This isn’t just any ordinary lab - it’s a high-stakes mission where you’ll combine:
Artificial Intelligence 🤖
- Computer Vision: Detect traffic signs using advanced neural networks
- Transfer Learning: Adapt pre-trained models for LEGO traffic sign recognition
- MLOps: Automate model training and deployment pipelines
- GPU Acceleration: Harness the power of NVIDIA hardware for faster training
Edge Computing 🌐
- NVIDIA Jetson Orin: Deploy AI models directly on edge devices
- Red Hat Device Edge: Run enterprise-grade Edge OS
- MicroShift: Kubernetes for resource-constrained environments
- Real-time Processing: Make split-second decisions to stop the train
Cloud Integration ☁️
- OpenShift AI: Centralized AI/ML platform for model development
- Multi-architecture Builds: Create containers for both x86_64 and ARM64
- GitOps: Deploy applications using modern DevOps practices
- 5G Connectivity: Maintain cloud-edge communication
🏆 Success Criteria
By the end of this mission, you will have:
- Trained an AI model capable of detecting LEGO traffic signs
- Deployed the model to an edge computing platform
- Built CI/CD pipelines for multi-architecture deployments
- Implemented GitOps for automated application deployment
- Saved the train before it crashes!
⚡ The Stakes
- Time limit: The train is approaching the cliff!
- Challenge: Real-world edge computing constraints
- Reward: Master modern AI/ML and Edge Computing technologies
Ready, Agent? Your mission starts now 🚀