Anyscale Academy

Build and Deploy AI at Scale

Practical skills for training and serving production-ready AI systems.

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A Practical
AI Learning Platform

Build shared understanding of AI across your organization with a single academy experience.

Everything You Need to Get Started With Ray and Anyscale

Anyscale Academy gives teams a curated route through Ray and production AI infrastructure, with enough structure to teach consistently and enough depth to support real implementation.

  • Foundations before frameworks

    Learners build shared vocabulary around Ray Core, Data, Train, Serve, and production AI systems before jumping into isolated examples.

  • Hands-on workload patterns

    Courses connect concepts to runnable templates for batch inference, distributed training, serving, evaluation, and operational workflows.

  • Progress that survives onboarding

    Teams can track completion, certificates, bookmarks, streaks, and learning rank without turning enablement into spreadsheet archaeology.

  • A path from curiosity to production

    Learning paths combine guided modules, checks, references, and examples so engineers can move from first principles to applied implementation.

Introduction to Ray thumbnail

Introduction to Ray

Learning Path

Learning Path
6 courses

The Ray 101 learning path is the perfect entry point to get you started with Ray. You'll learn about all of our libraries, from low-level distributed computing with Ray Core to running AI workloads with Ray Data, Train, Tune and Serve

Start Learning Ray
Anyscale Academy

Learn production-ready AI skills.

We now host 22 courses spanning 48 modules and 299 lessons, from foundations to workload playbooks.

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Getting Started with Anyscale for Administrators

Foundations

foundations
7 modules
67 lessons

This course helps admins deploy Anyscale clouds in custom environments (AWS vs. GCP, VMs vs. Kubernetes, etc.).

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Model Training Foundations (Ray Train)

Foundations

foundations
3 modules
26 lessons

Learn the foundations of distributed training of machine learning models with Ray Train.

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End-to-End Multimodal AI Pipeline Overview

Foundations

foundations
4 modules
25 lessons

Learn the end-to-end multi-modal AI pipeline, including how each component fits together and what the project provides. You’ll also gain hands-on experience running and exploring the implementation using Anyscale or the GitHub repository.

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Data Processing Foundations (Ray Data)

Foundations

foundations
3 modules
23 lessons

Explore the foundations of processing structured and unstructured data with Ray Data and get an overview of the key concepts and patterns for distributed data processing.

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LLM Serving Foundations

Foundations

foundations
3 modules
21 lessons

Learn the fundamentals of deploying LLMs with Ray.

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Distributed Computation Foundations (Ray Core)

Foundations

foundations
2 modules
16 lessons

Master the basics of distributed computing with this foundations course on Ray Core.

Ready to Learn AI with Anyscale Academy?

Start Learning