MLOps on Kubernetes Training in USA

The MLOps on Kubernetes Training is a hands-on, enterprise-grade program focused on building, deploying, scaling, and operating machine learning systems on Kubernetes.
Participants will learn how to operationalize ML models using containerization, CI/CD, model lifecycle management, monitoring, and scalable inference/training, enabling reliable, repeatable, and production-ready ML platforms.

Welcome to the official MLOps on Kubernetes Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in USA. 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 machine learning concepts

• Familiarity with Python and ML workflows

• Basic knowledge of containers and Docker

• Introductory Kubernetes knowledge is helpful

• Kubernetes-based ML architecture

• Containerized ML workloads

• ML pipeline orchestration

• Model registry and lifecycle management

• Scalable model serving

• Monitoring, drift detection, and observability

• Secure and governed ML operations

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

• Design production-ready MLOps architectures on Kubernetes

• Containerize and deploy ML training and inference workloads

• Implement CI/CD for ML pipelines

• Manage model versioning and lifecycle

• Monitor, scale, and govern ML systems

• Operate reliable ML platforms in production