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Deploying and Debugging ML Microservices

Deploying and Debugging ML Microservices

by Coursera
★ 8.7/10

Learn to deploy and debug machine learning models as microservices using Docker and Kubernetes. Gain practical MLOps skills for production environments.

Why this course

  • Covers in-demand MLOps skills like Docker and Kubernetes
  • Focuses on real-world deployment challenges beyond model training
  • Teaches debugging techniques critical for maintaining ML systems
  • Provides hands-on experience with scalable microservice patterns
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