Merci d'avoir envoyé votre demande ! Un membre de notre équipe vous contactera sous peu.
Merci d'avoir envoyé votre réservation ! Un membre de notre équipe vous contactera sous peu.
Plan du cours
Introduction to Edge AI and Kubernetes
- Understanding the role of AI at the edge
- Kubernetes as an orchestrator for distributed environments
- Typical use cases across industries
Kubernetes Distributions for Edge Environments
- Comparing K3s, MicroK8s, and KubeEdge
- Installation and configuration workflows
- Node requirements and deployment patterns
Architectures for Edge AI Deployment
- Centralized, decentralized, and hybrid edge models
- Resource allocation across constrained nodes
- Multi-node and remote cluster topologies
Deploying Machine Learning Models at the Edge
- Packaging inference workloads with containers
- Using GPU and accelerator hardware when available
- Managing model updates on distributed devices
Communication and Connectivity Strategies
- Handling intermittent and unstable network conditions
- Synchronization techniques for edge-to-cloud data
- Message queues and protocol considerations
Observability and Monitoring at the Edge
- Lightweight monitoring approaches
- Collecting telemetry from remote nodes
- Debugging distributed inference workflows
Security for Edge AI Deployments
- Protecting data and models on constrained devices
- Secure boot and trusted execution strategies
- Authentication and authorization across nodes
Performance Optimization for Edge Workloads
- Reducing latency through deployment strategies
- Storage and caching considerations
- Tuning compute resources for inference efficiency
Summary and Next Steps
Pré requis
- An understanding of containerized applications
- Experience with Kubernetes administration
- Familiarity with edge computing concepts
Audience
- IoT engineers deploying distributed devices
- Cloud-native developers building intelligent applications
- Edge architects designing connected environments
21 Heures
Nos clients témoignent (5)
There was a lot to lean, but it never felt rushed.
thomas gardner - National Oceanography Centre
Formation - Docker, Kubernetes and OpenShift for Administrators
Traduction automatique
It is an in-deep Kubernetes training covering all important aspects to manage Kubernetes, be it in the cloud or on-premise, but the pace is gradual and well adjusted, so the training can be followed very well by students who have had no prior exposure to Kubernetes, as it builds up knowledge from the ground up.
Volker Kerkhoff
Formation - Docker and Kubernetes: Building and Scaling a Containerized Application
Traduction automatique
Il a fourni une bonne base pour Docker et Kubernetes.
Stephen Dowdeswell - Global Knowledge Networks UK
Formation - Docker (introducing Kubernetes)
Traduction automatique
I generally liked the trainer knowledge and enthusiasm.
Ruben Ortega
Formation - Docker and Kubernetes
Traduction automatique
J'ai surtout apprécié les connaissances du formateur.
- Inverso Gesellschaft fur innovative Versicherungssoftware mbH
Formation - Docker, Kubernetes and OpenShift for Developers
Traduction automatique
