Practical MLOps, an O'Reilly Book

This is a public repo where code samples are stored for the book Practical MLOps.

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Tentative Outline

Chapter 1: Introduction to MLOps

Source Code Chapter 1:

• Multi-cloud Github Actions Demo

Chapter 2: MLOps Foundations

Source Code Chapter 2:

• https://github.com/noahgift/cloud-bash-essentials
• https://github.com/noahgift/regression-concepts/blob/master/height_weight.ipynb
• https://github.com/noahgift/or/blob/master/README.md#randomized-start-with-greedy-path-solution-for-tsp

Chapter 3: Machine Learning Deployment In Production Strategies

Source Code Chapter 3:

• Logging Examples
• Multiple Loggers
• Simple Logging

Chapter 4: Continuous Delivery for Machine Learning Models

Source Code Chapter 4:

Chapter 5: AutoML

Source Code Chapter 5:

• Apple CreateML Walkthrough
• Ludwig Text Classification
• FLAML Hello World
• Model Explainability

Chapter 6: Monitoring and Logging for Machine Learning

Source Code Chapter 6:

Chapter 7: MLOps for AWS

Source Code Chapter 7:

• Continuous Delivery for Elastic Beanstalk
• ECS Fargate
• AWS ML Certification Exam Guide
• AWS Cloud Practitioner Exam Guide
• Free AWS Cloud Practitioner Course
• Python MLOps Cookbook
• Container From Scratch

Chapter 8: MLOps for Azure

Source Code Chapter 8:

Chapter 9: MLOps for GCP

Source Code Chapter 9:

• Project Plan Template
• GCP from Zero
• Kubernetes Hello World
• gcp-flask-ml-deploy
• serverless cookbook

Chapter 10: Machine Learning Interoperability

Source Code Chapter 10:

Chapter 11: Building MLOps command-line tools

Source Code Chapter 11:

Chapter 12: Machine Learning Engineering and MLOps Case Studies

Source Code Chapter 12:

Community Recipes

This section includes "community" recipes. Many "may" be included in the book if timing works out.

• Jason Adams: FastAPI Sentiment Analysis with Kubernetes
• James Salafatinos: Tensorflow.js real-time image classification
• Nikhil Bhargava: Sneaker Price Predict
• Medical Expenditures
• Flask Salary Predictor
• Covid Predictor
• Absenteeism at Work
• Chest X-Ray on Baidu
• Streamlit Traffic Detection

References

• Pragmatic AI
• Python for DevOps
• Cloud Computing for Data

Next Steps: Take Coursera MLOps Course

• Take the Specialization
• Cloud Computing Foundations
• Cloud Virtualization, Containers and APIs
• Cloud Data Engineering
• Cloud Machine Learning Engineering and MLOps