Unable to find what you're searching for?
We're here to help you find itThe Ray.io course is an extensive learning program designed to introduce and develop expertise in the Ray ecosystem, an open-source framework that simplifies building and scaling distributed applications. Through this course, learners will gain a deep understanding of Ray's features starting from its distributed execution engine, storage system, task scheduling, and resource management to more advanced topics like optimization, debugging, security, and deployment strategies. Modules are carefully structured to cover the foundational concepts, Ray APIs, actors model, schedulers, security practices, and performance tuning, ensuring that learners are equipped with the knowledge to design efficient, secure, and high-performance distributed systems. By the end of the course, participants will be adept at deploying Ray applications to production, integrating with other technologies, and leveraging Ray for state-of-the-art distributed machine learning and reinforcement Learning. This course is a gateway for developers and data scientists looking to harness distributed computing for complex, scalable applications.
Purchase This Course
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
The Ray.io course is designed for professionals seeking expertise in scalable, distributed computing and machine learning systems.
Target audience for the Ray.io course:
Gain in-depth knowledge of Ray.io, mastering distributed computing for machine learning and large-scale data processing with practical, hands-on experience in deployment, debugging, and optimization.
