MLOps Academy

Master MLOps. Build production ML systems that last.

Curated, no-fluff curriculum from real-world experience. Tools change, fundamentals don't.

The next generation of best-prepared innovators are MLOps engineers

MLOps engineers uniquely combine machine learning expertise with systems engineering, turning research into real-world impact.

They navigate the full ML lifecycle—from data pipelines to model deployment—building systems that work reliably at scale.

By ensuring models perform in production, MLOps engineers directly connect technical work to measurable business value.

As AI adoption accelerates, the demand for engineers who can operationalize ML systems continues to grow exponentially.

Foundations

Systems

Operations

Essential Shell Commands

Quick reference for common shell commands used in MLOps workflows

List files with details

ls -lah

Find files by name

find . -name "*.py" -type f

Search in files

grep -r "pattern" /path/to/dir

Watch file changes

tail -f /path/to/logfile

Copy recursively

cp -r source/ destination/

Disk usage

du -sh * | sort -h

Pro Access

All current and future content. One subscription.

$10.99/mo

Seldon

Google

OpenDeck

OpenAI

Instagram