Getting Started with Docker and AI, Poulton N., 2024

Getting Started with Docker and AI, Poulton N., 2024.
    
   This 2025 edition of Getting Started with Docker gets you up-to-speed with Docker and AI fast!
I’ve carefully chosen the most useful topics and hand-crafted every chapter and example so the book is fun and engaging.
You’ll love the book if you’re a developer just starting with containers and AI. You’ll also love it if you work in technical marketing, sales, management, architecture, operations, and more.




Containers and Al.
Organizations and developers are increasingly turning to Docker and containers as the preferred way to build, test, and deploy local AI models. This means that containers will play an increasingly important role in the future of AI apps.

Later m the book, you’ll use Docker to deploy an advanced AI chatbot on your local computer that uses the popular Ollama AI runtime and your choice of advanced large language model (LLM). Once deployed, you’ll work with the chatbot to complete a simple coding task.

Contents.
About the book.
What does the book cover.
Will the book make you an expert.
Editions.
Terminology and responsible language.
Feedback.
The sample apps.
1: Intro to containers.
Why containers.
Big picture view.
Images.
Containers.
Registries.
The Open Container Initiative.
Containers and virtual machines.
Microservices.
Linux containers and Windows containers.
Containers and AI.
Jargon recap.
Chapter summary.
2: Getting Docker.
Docker Desktop.
Multipass.
Docker Hub and Docker accounts.
Install the git CLI.
Chapter summary.
3: Running a container.
Pre-reqs.
Running a container.
Managing containers with Docker Desktop.
Chapter summary.
4: Containerizing an application.
Pre-reqs.
Overview of the app.
Test the app.
Containerize the app.
Test the containerized app.
Clean-up.
Chapter summary.
5: Images and registries.
Working with images.
Working with registries.
Multi-architecture images.
AI model registries.
Chapter summary.
6: Multi-container apps with Compose.
Application overview.
The Compose file.
Deploy the app.
Manage the app.
Chapter summary.
7: Docker and AI.
Pre-reqs.
Chatbot overview.
Deploy and test the chatbot.
Use the chatbot to complete a coding task.
Inspect the chatbot.
Clean up.
Chapter summary.
8: What next.
Appendix A: Lab code.
Pre-reqs.
Chapter 3: Running a container.
Chapter 4: Containerizing an application.
Chapter 5: Images and Registries.
Chapter 6: Multi-container apps.
Chapter 7: Docker and AI.
Terminology.
More from the author.
Begin Reading.



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