Docker for AI/ML
Master Docker for AI/ML - Revolutionizing Machine Learning Environments with Containers
Created by Gourav Shah
Discover how to use Docker to simplify and speed up your AI and machine learning projects. You will learn to create scalable, reproducible environments and deploy models efficiently. Through hands-on projects, gain practical skills for integrating Docker with popular ML tools and workflows.
Packt | Sep 2025 | 344 min
What You Will Learn
You will learn by building real-world applications step by step, applying Docker to common AI and ML tasks. Each project helps you troubleshoot, integrate new tools, and automate workflows, so you gain skills you can use right away in your own work.
Key Features
- Set up reliable, reproducible ML environments using Docker containers
- Deploy and manage ML models with tools like MLFlow, Jupyter, and FastAPI
- Build and automate full-stack ML applications and pipelines with Docker Compose
Target Audience
Perfect for data scientists, ML engineers, and DevOps professionals who want to streamline development and deployment. If you are looking to containerize models, automate pipelines, or run complex ML tools locally, you'll find practical solutions and actionable skills here.
