Coursera
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Architecting and Integrating Scalable AI Systems

~4 hours

Architecting and Integrating Scalable AI Systems focuses on designing end-to-end AI architectures that support scalable, reliable machine learning applications. In this course, you will learn how to translate business requirements into AI system designs and integrate machine learning models into production environments. You will begin by exploring system architecture concepts used to design AI systems, including requirements analysis, component design, and system modeling techniques. Next, you will learn how to deploy and optimize AI workloads in cloud environments while balancing performance

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