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Module 10: Kubernetes and TensorFlow Serving — Machine Learning Zoomcamp

Lessons, materials, and key concepts for module 10 of Machine Learning Zoomcamp.

Machine Learning Zoomcamp > Module 10: Kubernetes and TensorFlow Serving

10. Kubernetes and TensorFlow Serving

Note: these materials are partly outdated, which is why we recorded a workshop that updates this module. You will find the materials in the workshop/ folder

You don’t need to watch any of the module videos. But lessons 10.5 and 10.8 may still be useful.

• 10.1 Overview
• 10.2 TensorFlow Serving
• 10.3 Creating a pre-processing service
• 10.4 Running everything locally with Docker-compose
• 10.5 Introduction to Kubernetes
• 10.6 Deploying a simple service to Kubernetes
• 10.7 Deploying TensorFlow models to Kubernetes
• 10.8 Deploying to EKS
• 10.9 Sum

Lessons

Key concepts

• Kubernetes
• Docker
• TensorFlow
• Model Deployment
• Flask
• Jupyter Notebooks

Homework and deadlines live in the course repository: machine-learning-zoomcamp.

Other modules in this course

• Module 1: Introduction to Machine Learning
• Module 2: Machine Learning for Regression
• Module 3: Machine Learning for Classification
• Module 4: Evaluation Metrics for Classification
• Module 5: Deploying Machine Learning Models
• Module 6: Decision Trees and Ensemble Learning
• Module 8: Neural Networks and Deep Learning
• Module 9: Serverless Deep Learning