Anyscale Academy
Learning Path

Ray Train Specialization

The Ray Train learning path is a deep dive into distributed model training with Ray Train and gives you a large sample of interesting workloads to explore.

7 coursesCapstone certificate

What you'll cover

  • Level: Advanced
  • Distributed Model Training
  • Multi-GPU Training Workflows
  • Reinforcement Learning Workloads
  • Policy Gradient Methods
  • Collaborative Filtering
  • Matrix Factorization Techniques
  • Image Classification Workloads
  • Computer Vision with Ray Train
  • Time Series Forecasting
  • Transformer-Based Models
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Course Sequence

7 steps + capstone
1
Model Training Foundations (Ray Train) thumbnail
Step 1

Model Training Foundations (Ray Train)

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

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2
Tabular Data Workload Example (Ray Train) thumbnail
Step 2

Tabular Data Workload Example (Ray Train)

A tabular data workload example built with Ray Train.

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3
Time Series Data Workload (Ray Train) thumbnail
Step 3

Time Series Data Workload (Ray Train)

A time series data workload example built with Ray Train.

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4
Computer Vision Workload Example (Ray Train) thumbnail
Step 4

Computer Vision Workload Example (Ray Train)

An example of distributed model training using Ray Train.

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5
Generative Computer Vision Workload (Ray Train) thumbnail
Step 5

Generative Computer Vision Workload (Ray Train)

A generative computer vision workload example built with Ray Train.

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6
Policy Learning Workload (Ray Train) thumbnail
Step 6

Policy Learning Workload (Ray Train)

A policy learning workload example utilizing Ray Train.

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7
Recommender Systems Workload (Ray Train) thumbnail
Step 7

Recommender Systems Workload (Ray Train)

A recommender systems workload example built with Ray Train.

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Ray Train Specialization Capstone Certificate thumbnail
Capstone Certificate

Ray Train Specialization Capstone Certificate

Capstone certificate exam for Ray Train Specialization.

Locked until prior courses are complete