How do you build scalable AI data architectures in the cloud? What are the best techniques for optimizing distributed AI model training in cloud environments? How can you design resilient and cost-effective AI applications that utilize cloud-based autoscaling and serverless inference? This course delves into proven design patterns tailored for cloud-based AI, addressing challenges in data architecture, model training optimization, and resilient and scalable application deployment and operations. LinkedIn Top Voice and author, Thomas Erl, explains these techniques, and how to use them to create highly effective AI solutions designed to leverage cloud-based services, resources and infrastructure.
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