Docker for AI Solution Architects: From Zero to Deployment
Master Docker fundamentals and advanced practices to design, deploy, and manage scalable AI/ML solutions efficiently and reliably.
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Docker Fundamentals for AI/ML Workloads
Unit 1: Introduction to Containerization and Docker
Why Containers for AI/ML?
Docker: The Basics
Setting Up Docker
Unit 2: Working with Docker Images and Containers
Images: Blueprints of AI
Containers: Running AI Models
Your First Dockerfile
Sharing Your AI Images
Unit 3: Containerizing AI/ML Applications
Containerizing a Python App
Docker Compose for AI Stacks
Optimizing and Deploying AI/ML Applications with Docker
Unit 1: Optimizing Docker Images for AI/ML
Slimming Down Images
Caching & Build Efficiency
GPU & Hardware Access
Unit 2: CI/CD for AI/ML with Docker
CI/CD Basics for AI/ML
Docker & GitHub Actions
Docker & GitLab CI/CD
Unit 3: Troubleshooting Docker for AI/ML
Common Docker Issues
Debugging AI/ML Containers