From the course: The AI Ecosystem for Developers: Models, Datasets, and APIs

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Accessing AI models via cloud providers

Accessing AI models via cloud providers

From the course: The AI Ecosystem for Developers: Models, Datasets, and APIs

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Accessing AI models via cloud providers

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- [Instructor] Modern software development and deployment workflows are increasingly centered around cloud platforms. As a result, the seamless integration of artificial intelligence capabilities into this environment have become essential for building next-generation applications. Having AI models readily available on the cloud, enables developers to leverage scalable compute power, connect directly to data sources, utilize managed infrastructure, and implement robust MLOps practices with ease. In this video, we'll explore the diverse AI model services offered by the leading public cloud platforms, such as Amazon Web Services, AWS, Microsoft Azure, and Google Cloud Platform, GCP. Each platform provides a unique mix of proprietary models, access to widely used third-party models and comprehensive tools for building, training, and deploying custom AI solutions. For AWS, the core AI services include Amazon SageMaker, a comprehensive end-to-end machine learning platform for building…

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