Docker for AI Engineers: Build, Deploy, and Scale LLM Applications with Docker, Containers, and Modern DevOps (The AI Engineers Series)
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Docker for AI Engineers: Build, Deploy, and Scale LLM Applications with Docker, Containers, and Modern DevOps (The AI Engineers Series)

by Raymond Norman

Machine Learning DevOps AI Engineering Docker
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Docker for AI Engineers explores how containers and modern DevOps practices support the development, deployment, and scaling of large language model applications. Designed for AI engineers, it provides a focused guide to applying Docker within contemporary AI application workflows.

About This Book

Docker for AI Engineers focuses on building, deploying, and scaling large language model applications with Docker and container-based workflows.

The book connects AI engineering with modern DevOps, offering a technology-centered perspective on managing LLM applications.

It is intended for readers interested in using containers as part of their AI application development and deployment process.

As part of The AI Engineers Series, this title addresses practical infrastructure considerations for contemporary AI engineering.

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I will be using this book for: