MLflow & Kubernetes: MLOps for Scalable ML Deployment

Deploy MLflow on Kubernetes with Helm, Docker & CI/CD. Track, manage & scale machine learning workflows in real-world
Udemy
platform
English
language
Other
category
Skills Marathon
instructor
MLflow & Kubernetes: MLOps for Scalable ML Deployment
7
students
2 hours
content
May 2025
last update
FREE
regular price

What you will learn

Set up and deploy MLflow on a Kubernetes cluster from scratch.

Track, manage, and visualize machine learning experiments using MLflow.

Integrate MLflow with cloud-native tools like Helm, Docker, and K8s Secrets.

Implement end-to-end ML model lifecycle management in a scalable environment.

Course Gallery

MLflow & Kubernetes: MLOps for Scalable ML Deployment – Screenshot 1
Screenshot 1 – MLflow & Kubernetes: MLOps for Scalable ML Deployment
MLflow & Kubernetes: MLOps for Scalable ML Deployment – Screenshot 2
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MLflow & Kubernetes: MLOps for Scalable ML Deployment – Screenshot 3
Screenshot 3 – MLflow & Kubernetes: MLOps for Scalable ML Deployment
MLflow & Kubernetes: MLOps for Scalable ML Deployment – Screenshot 4
Screenshot 4 – MLflow & Kubernetes: MLOps for Scalable ML Deployment

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6621153
udemy ID
18/05/2025
course created date
26/05/2025
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