Practical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
MLOps Guide
This guide introduces MLOps concepts and demonstrates their use with tools including DVC, CML, IBM Watson, Terraform, and Cookiecutter.
About MLOps Guide
MLOps Guide explains MLOps concepts and provides a tutorial for building an MLOps environment. It is intended for projects and companies working with machine learning models.
It covers versioning, deployment with Watson Machine Learning, CI/CD for machine learning, monitoring with IBM OpenScale, and project workflow, with an end-to-end example project. The setup is modular so tools can be swapped based on preferences and use cases, and the implementation is described as fitting most use cases. Some tutorial tools, including IBM Watson ML, OpenScale, and GitHub, are listed as proprietary.
Key features
- Introduction to MLOps principles and theory
- Tutorial for building an MLOps environment
- Data and model versioning with DVC
- Model deployment as API with Watson Machine Learning
- CI/CD automation with GitHub Actions and CML
- Production model monitoring with IBM OpenScale
Best for: Projects and companies building an MLOps environment for machine learning models.
Good for
- Covers both MLOps theory and implementation tutorial
- Provides an end-to-end example project
- Modular design allows swapping tools for project preferences and use cases
Watch out for
- Tutorial includes proprietary tools such as IBM Watson ML, OpenScale, and GitHub
- Implementation is described as fitting most use cases, not all
MLOps Guide at a glance
- Website
- mlops-guide.github.io
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
MLOps Guide alternatives
Tools and sites you could use instead, ranked by how closely they match.
Study algorithms implemented in C++ through this open-source learning repository.
This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
Bird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.
The Artificial Intelligence: A Modern Approach textbook site includes courses, exercises, and related resources.
This Android app recognizes bird species from their sounds and includes an extensive database of bird recordings.
Popular in Science, Math & Technology
Well-known listings from the same topic.
MathNetmathnet.mit.eduOneZoomonezoom.orgThrustCurvethrustcurve.orgWikispeciesspecies.wikimedia.orgTheAlgorithmsthe-algorithms.comHot Nozzle Societyhotnozzlesociety.org
MLOps Guide FAQ
What is MLOps?
A methodology that applies DevOps practices to the machine learning model lifecycle to bring experimental models into production and maintain them.
What does this guide cover?
An introduction to MLOps concepts and a tutorial for building an MLOps environment.
Can I replace tools in the tutorial?
Yes, the guide is modular and a team can swap tools based on project preferences and use cases.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.