Getting Started with Docker and AI

Learn Docker from scratch to AI-powered container deployment with clear, practical steps

Publisher:Packt Publishing Limited

By: Nigel Poulton

Paid access

|May 2025

E-Book €6.99Institutions €100.95

Description

Master Docker essentials and AI integration through a practical, project-driven guide that empowers developers and tech professionals to confidently build and deploy containerized applications.

Key Features

Beginner-friendly structure that introduces Docker through real examples and practical labs
Timely focus on AI integration to reflect the growing need for containerized ML workflows
Hands-on projects that show how to deploy, manage, and scale applications using Docker tools

Book Description

This hands-on guide is designed to take you from zero to Docker-ready, combining clear explanations with practical examples. You’ll begin by exploring the fundamentals of containers, Docker architecture, and key concepts like images, registries, and the role of containers in microservices and AI. Early chapters lay a strong foundation, demystifying industry jargon and highlighting how containers differ from traditional virtual machines.
Once the basics are in place, the book moves into real-world usage. You’ll install Docker, run your first containers, and learn how to manage them with Docker Desktop. You’ll then containerize a simple web app, push images to Docker Hub, and build multi-container microservices applications using Docker Compose. These hands-on labs build both confidence and competency through guided, project-based learning.
This newly updated edition adds a dedicated chapter on AI integration using the new Docker Model Runner. You'll deploy local AI models, integrate with Open WebUI, and see how Docker now powers modern AI workflows. This book is ideal for anyone looking to master Docker while also gaining experience in deploying containerized AI solutions.

What you will learn

Set up Docker and run containers using Docker Desktop
Configure and manage Docker images and container registries
Build and containerize a web app for local deployment
Create multi-container apps using Docker Compose files
Implement AI models with Docker Model Runner technology
Integrate Open WebUI for managing containerized AI tools

Who this book is for

Ideal for software developers, system architects, IT professionals, and technical marketers with basic programming knowledge and familiarity with command-line tools. No prior container experience required, but understanding software development and virtualization concepts enhances learning.