Edge AI on Kubernetes Training in San Francisco

Edge AI on Kubernetes Training in San Francisco, USA

Participants learn how to combine edge computing principles with cloud-native Kubernetes orchestration to build low-latency, resilient AI systems.

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Edge AI on Kubernetes Training is a professional training program delivered by ProgNXT in San Francisco, USA. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Edge AI on Kubernetes Training course with hands-on, instructor-led sessions. The Edge AI on Kubernetes Training is a hands-on, industry-focused program that teaches how to design, deploy, and manage AI workloads at the edge...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: VIN28
14 Hrs
Last Updated: April 2026

Course Rating5/5

The Edge AI on Kubernetes Training is a hands-on, industry-focused program that teaches how to design, deploy, and manage AI workloads at the edge using Kubernetes.
The course covers containerized AI models, edge orchestration, scalability, observability, and secure deployment for real-world use cases such as IoT, smart manufacturing, video analytics, autonomous systems, and real-time inference.

Participants learn how to combine edge computing principles with cloud-native Kubernetes orchestration to build low-latency, resilient AI systems.

Welcome to the official Edge AI on Kubernetes Training certification program in San Francisco, USA. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of containers and Docker
Familiarity with Kubernetes fundamentals
Introductory knowledge of AI/ML concepts
Linux command-line experience is recommended

By the end of this training, participants will be able to:

Design Edge AI architectures using Kubernetes
Containerize and deploy AI inference workloads at the edge
Manage edge clusters with limited resources
Optimize AI workloads for latency and performance
Secure, monitor, and scale Edge AI deployments
Apply Edge AI patterns to real-world industry scenarios

Edge AI architecture design
Kubernetes for edge environments
AI model containerization
Resource-constrained deployment
GPU/accelerator management
Observability and lifecycle management
Secure and resilient edge operations

Edge AI architecture design
Kubernetes deployment correctness
Resource and performance optimization
Security and reliability practices
End-to-end Edge AI workflow implementation

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Introduction to Edge AI & Kubernetes

What is Edge AI and why it matters
Edge vs cloud AI workloads
Role of Kubernetes in Edge AI
Common Edge AI use cases and challenges

Edge Computing Architecture Fundamentals

Edge nodes, gateways, and devices
Network constraints and offline scenarios
Latency-sensitive AI inference
Data locality and processing strategies

Kubernetes for Edge Environments

Kubernetes architecture recap
Lightweight Kubernetes distributions
Single-node vs multi-node edge clusters
Cluster lifecycle management at the edge

Containerizing AI Models

Packaging AI inference services with Docker
Model formats and runtime considerations
Optimizing container images for edge
Versioning and rollback strategies

Deploying AI Inference on Kubernetes

Deployments, Pods, and Services
ConfigMaps and Secrets for AI apps
Model configuration and environment setup
Rolling updates and zero-downtime deployment

Resource Management & Optimization

CPU, memory, and storage constraints
GPU and accelerator scheduling
Node affinity and taints
Performance tuning for edge inference

Data Handling & Messaging at the Edge

Edge data ingestion patterns
Event-driven AI inference
Messaging and streaming basics
Handling intermittent connectivity

Scaling & Reliability Patterns

Horizontal and vertical scaling
Load balancing for edge inference
Failover and self-healing mechanisms
Managing unreliable edge nodes

Security & Access Control

Securing edge Kubernetes clusters
Secrets management and encryption
Network policies and isolation
Secure model distribution

Observability & Monitoring

Logging and metrics at the edge
Monitoring AI inference performance
Health checks and alerting
Troubleshooting edge deployments

CI/CD & Lifecycle Management

CI/CD pipelines for Edge AI
Model updates and redeployment
Configuration and version control
Managing fleets of edge clusters

Hands-on Exercises

Summary and Conclusion

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on: Daily quizzes, mock questions and query resolution. Group Discussion and Case Study Discussion. Assessment will be through hands-on labs, quizzes, and hands-on exercises.

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Edge AI on Kubernetes Training Events in san-francisco

Online Events

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More Upcoming Session Dates

October 2026

📍 San Francisco, USA

22nd Oct 2026→23rd Oct 2026

🌐 Online Instructor-Led

25th Oct 2026→26th Oct 2026

November 2026

🌐 Online Instructor-Led

5th Nov 2026→6th Nov 2026

📍 San Francisco, USA

10th Nov 2026→11th Nov 2026

🌐 Online Instructor-Led

19th Nov 2026→20th Nov 2026

📍 San Francisco, USA

23rd Nov 2026→24th Nov 2026

December 2026

🌐 Online Instructor-Led

2nd Dec 2026→3rd Dec 2026

📍 San Francisco, USA

7th Dec 2026→8th Dec 2026

🌐 Online Instructor-Led

20th Dec 2026→21st Dec 2026

📍 San Francisco, USA

28th Dec 2026→29th Dec 2026

Events for other courses in San Francisco, USA

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Edge AI on Kubernetes Training in San Francisco