Course Outline
Foundations of Edge AI and Kubernetes
- Exploring the strategic role of AI in edge computing
- Leveraging Kubernetes as an orchestrator for distributed systems
- Examining common industry use cases
Kubernetes Distributions Suited for Edge Environments
- Evaluating K3s, MicroK8s, and KubeEdge
- Streamlining installation and configuration processes
- Defining node requirements and optimal deployment patterns
Architectural Models for Edge AI Implementation
- Analyzing centralized, decentralized, and hybrid edge architectures
- Optimizing resource allocation on constrained nodes
- Designing multi-node and remote cluster topologies
Implementing Machine Learning Models at the Edge
- Encapsulating inference workloads using containers
- Utilizing GPU and accelerator hardware where applicable
- Oversight of model updates across distributed devices
Strategies for Communication and Connectivity
- Mitigating the impact of intermittent and unstable network conditions
- Implementing synchronization techniques for edge-to-cloud data flow
- Considerations regarding message queues and communication protocols
Observability and Monitoring in Edge Contexts
- Adopting lightweight monitoring methodologies
- Gathering telemetry from remote nodes
- Diagnosing distributed inference workflows
Security Protocols for Edge AI Deployments
- Safeguarding data and models on resource-limited devices
- Implementing secure boot and trusted execution measures
- Managing authentication and authorization across nodes
Performance Enhancement for Edge Workloads
- Minimizing latency through strategic deployment tactics
- Evaluating storage and caching implications
- Optimizing compute resources for inference efficiency
Conclusion and Future Directions
Requirements
- A solid grasp of containerized application architectures
- Practical experience in Kubernetes administration
- Familiarity with core edge computing principles
Target Audience
- IoT engineers responsible for deploying distributed devices
- Cloud-native developers creating intelligent applications
- Edge architects designing connected ecosystem environments
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (4)
basic understanding of container/kubernetes and how they interact features of the openshift plattform
Eric Scholze - NOW IT GmbH
Course - Introduction to Containers, Kubernetes & OpenShift
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
The knowledge and exchanges with Augustin
