Learning Path
Ray Data Specialization
The Ray Data learning path provides a comprehensive guide to distributed data processing and batch inference with Ray Data. You'll learn foundational concepts, practical data processing workflows, and how to scale batch inference pipelines for production workloads.
3 courses
What you'll cover
- Level: Intermediate
- Distributed Data Processing
- Scalable Batch Inference
- Structured and Unstructured Data Handling
- Large-Scale Data Pipelines
- Parallel Embedding Generation
Ray Data Specialization
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Course Sequence
3 steps1
Data Processing Foundations (Ray Data)
Foundations
Step 1
Data Processing Foundations (Ray Data)
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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2
Data Processing with Ray Data (Example)
Workload Example
Step 2
Data Processing with Ray Data (Example)
An example of data processing using Ray Data.
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3
Batch Inference with Ray Data (Example)
Workload Example
Step 3
Batch Inference with Ray Data (Example)
An example of batch inference implemented with Ray Data.
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