MLOps Learning Resources

Machine Learning Operations

https://ml-ops.org/

This is a website featuring several articles that lay the foundation for the “what”, the “why”, and the “how” of machine learning operations, setting it apart as a discipline distinct from DevOps.

Machine Learning operations maturity model

https://docs.microsoft.com/en-us/azure/architecture/example-scenario/mlops/mlops-maturity-model

A rubric for evaluating the maturity of machine learning operations activities at your company.

Books

Title	Review	Edition	Author	Pub Date	Publisher
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications		1st Edition	Chip Huyen	June 21, 2022	O’Reilly
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps		1st Edition	Lakshmanan, Robinson, Munn	November 10, 2020	O’Reilly
MLOps Engineering at Scale		1st Edition	Carl Osipov	March 1, 2022	Manning
Machine Learning Logistics: Model Management in the Real World		1st Edition	Ted Dunning and Ellen Friedman	August 23, 2017	O’Reilly

Presentations

Title	Presenter	Conference	Date
MLOps: The Most Important Piece in the Enterprise AI Puzzle	Francesca Lazzeri	QCon Plus	2022-05-06

Frameworks and Offerings

• CD Foundation SIG MLOps - MLOps Roadmap
• MLFlow
• Rendezvous Architecture
• CRISP-DM
• CRISP-ML
• Vetiver
• SageMaker

Podcasts

• mlops.community podcast
• Practical AI

Communities

• MLOps Subreddit
• MLOps @chipro Discord Server (~10,000 members)

Videos

• MLOps explained | Machine Learning Essentials
• Manage MLOps and deploy Machine Learning to production
• Automating MLOps for Deep Learning

Articles

• Hidden Technical Debt in Machine Learning Systems
• https://blogs.nvidia.com/blog/2020/09/03/what-is-mlops/
• https://datakitchen.io/evaluating-machine-learning-models-with-mlops-and-the-datakitchen-platform/
• https://datakitchen.io/deliver-ml-and-ai-models-at-scale-with-modelops/
• https://info.datakitchen.io/on-demand-webinar-operationalize-machine-learning-at-scale-with-modelops
• https://neptune.ai/blog/mlops

Definitional

• https://databricks.com/glossary/mlops
• https://en.wikipedia.org/wiki/MLOps

Courses

• https://aws.amazon.com/training/classroom/mlops-engineering-on-aws/
• https://github.com/DataTalksClub/mlops-zoomcamp

Also

• https://aws.amazon.com/sagemaker/mlops/
• https://azure.microsoft.com/en-us/services/machine-learning/mlops/
• https://cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning
• https://builtin.com/machine-learning/mlops