Built by practitioners. Taught by the same.
We teach
what we use.
You've decided to change your trajectory. The only question is who you learn it from.
The same instructors who have taught at elite U.S. universities and contribute open source to the Rust ecosystem teach here, the same way we teach everywhere else.
01 — What we believe
We believe technical education should stay connected to real, current practice.
Vocational focus is non-negotiable. We teach how to deploy a model — hands-on, practical, and applicable the day you learn it. That conviction shows up in everything we build, including the tools we teach with.
We choose the tools we teach based on what serves the learner, not what's trending. Today, that includes Rust, for its performance, safety, and long-term relevance. When something better emerges, we will move to it — the tool is always in service of the learner, not the other way around.
02 — How we teach
Every course ends in something you can ship.
Every course is built around a vocational outcome: something you can do, deploy, or ship when you finish — not a certificate that proves you watched videos, but skills you can use immediately, in a job, a project, or a classroom.
You do the work in your own environment. We provide the guidance to make sure it's real, not simplified.
Deploy a model
Deploy a trained model to a running, callable endpoint.
Build a pipeline
Stand up a data pipeline that runs in production, not just on your laptop.
Write real Rust
Write Rust that handles real workloads, with the safety guarantees that matter.
03 — Who teaches here
Led by practitioners, at the frontier of the work.
Over 30 years in technology, with a career spanning startup CTO roles, AWS Machine Learning consulting, and graduate-level teaching at universities including Duke, Northwestern, and UC Berkeley. Author of multiple books on MLOps and cloud engineering, he has spent as long building production systems as he has spent teaching others how to do it.
A former Olympic high jumper who spent nearly 20 years as a software engineer before dedicating himself fully to Pragmatic AI Labs. He has taught at Duke, worked in Developer Relations at Microsoft, and written books on DevOps and Python for O'Reilly.
Every course is built and taught by people who stand behind it — not outsourced, not anonymous.
04 — Courses
Rust, AI, cloud, data, MLOps, and systems — from foundations to production.
Browse all courses →05 — Learners
Full access, however you get here.
If your organization has partnered with us, you already have full access to the platform at no cost — check with your department.
We partner with universities and businesses all over the world to make this possible.
If you want to give your students or teams full access, we'd like to talk. Partnerships are tailored to each institution.
Get in touch →contact@paiml.com
06 — Individual access
Simple, straightforward pricing
Full platform access — every current and future course — priced so cost isn't what decides whether you learn. If your institution has partnered with us, access is already included; check with your department.
No commitment required. Cancel anytime.