Mission Objective

🚂 Mission: Impossible - Crazy Train

Ready, Agent? Your mission starts now! 🚀

🎬 CLASSIFIED TRANSMISSION

Message to Agent Red Hat:

“The train is running mad at full speed and has no driver! Your mission, should you choose to accept it, is to train and deploy an AI model at the edge to stop the train before it crashes. This message will self-destruct in five seconds. Four… Three… Two… One…”

🎵 tam tam tada tum tum tada tum tum tada tum tum tada tiduduuuuummmm tiduduuuuuuuuummm 🎵

🎯 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:

  1. ✅ Trained an AI model capable of detecting LEGO traffic signs
  2. ✅ Deployed the model to an edge computing platform
  3. ✅ Built CI/CD pipelines for multi-architecture deployments
  4. ✅ Implemented GitOps for automated application deployment
  5. ✅ Saved the train before it crashes! 🎉

⚡ The Stakes

  • Time limit: The train is approaching the cliff!
  • Technology: State-of-the-art Red Hat Edge AI stack
  • Challenge: Real-world edge computing constraints
  • Reward: Master modern AI/ML and Edge Computing technologies

Ready, Agent? Your mission starts now! 🚀