Ray Core allows developers to leverage a small number of core primitives for building and scaling distributed AI applications.
This training provides you with an extensive and practical understanding of Ray Core concepts. You will review Ray's architecture, API components (tasks, actors, object store), core services, and observability tooling. You will learn about performance and scalability optimizations, as well as best practices validated by industry experts.
By the end of this training, you will have a comprehensive understanding of Ray Core, and you'll be able to apply this knowledge to tackle challenging scaling problems and deliver robust solutions that meet your organization's needs.
Prerequisites:
Some experience with Ray Core or distributed systems.
Intermediate-level experience with Python.
Ray Libraries:
Ray Core
This training provides you with an extensive and practical understanding of Ray Core concepts. You will review Ray's architecture, API components (tasks, actors, object store), core services, and observability tooling. You will learn about performance and scalability optimizations, as well as best practices validated by industry experts.
By the end of this training, you will have a comprehensive understanding of Ray Core, and you'll be able to apply this knowledge to tackle challenging scaling problems and deliver robust solutions that meet your organization's needs.
Prerequisites:
Some experience with Ray Core or distributed systems.
Intermediate-level experience with Python.
Ray Libraries:
Ray Core