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 equips you with the skills to build, deploy, and scale LLM applications using Docker, containers, and modern DevOps. Discover how to create efficient, reproducible AI environments that support complex machine learning workflows and production-ready deployments.

About This Book

Docker for AI Engineers provides a comprehensive introduction to using Docker in the context of AI development. It focuses on leveraging containers to manage and deploy large language model applications efficiently.

The book covers essential techniques for building containerized environments tailored to AI workloads, ensuring reproducibility and scalability in your projects.

Readers will learn modern DevOps practices integrated with Docker, enabling seamless deployment and management of AI systems in production settings.

Whether you're new to containerization or looking to enhance your AI engineering skills, this resource offers practical guidance for real-world applications.

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I will be using this book for: