Learning Path

Ray Platform Engineer

Build and operate distributed Python applications with Ray Core, Data, Serve, and production readiness practices.

4 coursesCapstone certificate8 hoursPlatform engineers

What you'll cover

Available in this academy.

You can jump directly into any course or lesson in the path.

4 steps

Step 1

Build the mental model for Ray tasks, actors, object references, scheduling, and resource-aware distributed Python.

2 hours2 modules4 lessonsProgress tracking available

Step 2

Design Ray Data pipelines for parallel ingest, preprocessing, offline inference, and reliable outputs.

2 hours2 modules4 lessonsProgress tracking available

Step 3

Build Serve applications with deployment graphs, request routing, autoscaling, and LLM-ready controls.

2 hours2 modules4 lessonsProgress tracking available

Capstone Certificate

Demonstrate readiness to design, review, and operate Ray workloads across Core, Data, Train, Tune, Serve, and RLlib.

1 hour1 modules2 lessonsCertificate assessment