Marvelous MLOps Substack
Hugo Bowne-AndersonServing you expertise MLOps content
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 85 | Founded | 3 years ago | Last Issue | 3 months ago |
| Active | |||||
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marvelousmlops.ioLatest Issues
What 300+ Engineers from Netflix, Amazon, and Instacart Asked About AI Engineering
Over the past year and four cohorts, we’ve taught over 300 Builders from Netflix, Amazon, Instacart, and more how to build AI-Powered Applications. These are the 10 most common questions they’ve asked. This is from a list of 100 question an...
UV All the Way: Your Go-To Python Environment Manager
In 2025 the best way to manage Python projects is using uv. This tutorial helps you set up a modern Python project from scratch using uv.
Yep, correct spelling is uv, two lower-case letters.
The two most important things that uv manages...
Patterns and Anti-Patterns for Building with LLMs
A bit about our guest author: Hugo Bowne- Anderson advises and teaches teams building LLM-powered systems, including engineers from Netflix, Meta, and the United Nations through my course on the AI software development lifecycle. It...
Your FREE guide to learn MLOps on Databricks
If you’ve ever built a machine learning model in a Jupyter notebook and wondered “Now what?”, you’re not alone. The gap between a working prototype and a production ML system is big, filled with infrastructure complexity, deployment challen...
Implementing Model Monitoring on Databricks
Databricks recently introduced Free Edition, which opened the door for us to create a free hands-on course on MLOps with Databricks.
This article is part of that course series, where we walk through the tools, patterns, and best pra...
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Authors
The writers behind this newsletter.
Hugo is a data scientist, educator, evangelist, content marketer, data strategy consultant, and host of the industry podcast Vanishing Gradients.
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