Introduction to MLOps
Chapter 1: Foundations of MLOps
What is MLOps?
Why MLOps is Necessary for Machine Learning
MLOps vs. DevOps: Similarities and Differences
The Goals of an MLOps Strategy
Core Principles of MLOps
Common Challenges in Production Machine Learning
Chapter 2: The Machine Learning Lifecycle
Overview of the End-to-End ML Lifecycle
Data Ingestion and Preparation
Model Training and Experimentation
Model Evaluation and Validation
Model Deployment Strategies
Monitoring Models in Production
The Feedback Loop for Model Improvement
Chapter 3: Versioning in Machine Learning
The Importance of Reproducibility
Version Control for Code with Git
Introduction to Data Versioning
Techniques for Model Versioning
Managing Experiment Tracking
Hands-on Practical: Versioning a Simple ML Project
Chapter 4: Automation and CI/CD for ML
Introduction to CI/CD
Continuous Integration (CI) for ML Code
Continuous Delivery (CD) for Models
Continuous Training (CT)
Building a Basic ML Pipeline
Introduction to Orchestration Tools
Hands-on Practical: Create a Simple CI Pipeline with GitHub Actions
Chapter 5: Model Deployment and Serving
What is Model Deployment?
Containerization with Docker
Creating a Model API with Flask
Deployment Patterns: Online vs. Batch Prediction
Introduction to Model Registries
Fundamentals of Model Monitoring
Hands-on Practical: Package and Deploy a Model as a Docker Container
Introduction to CI/CD
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- Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation, Jez Humble and David Farley, 2010 (Addison-Wesley Professional) - This book is a primary reference for the principles and practices of Continuous Delivery and Continuous Integration. It explains how to automate software delivery from version control to production.
- Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations, Nicole Forsgren, Jez Humble, and Gene Kim, 2018 (IT Revolution Press) - This book provides empirical evidence for the effectiveness of DevOps and CI/CD practices, demonstrating their impact on organizational performance.
- Continuous Integration, Martin Fowler, 2024 - This influential article introduced and defined Continuous Integration, outlining its core principles and benefits. It is a foundational text for the CI practice.
- What is CI/CD?, Google Cloud, 2023 (Google Cloud) - This official guide provides a clear and concise overview of Continuous Integration and Continuous Delivery concepts from a major cloud provider.