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Docker Essentials Guide

Master Docker for AI applications: build optimized images, containerize FastAPI + LLM apps, orchestrate multi-service stacks with Docker Compose (API + ChromaDB + Redis), and apply production best practices including multi-stage builds, secrets management, and health checks. Your gateway to production deployment.

64

Lessons

8

Modules

🎓

Bootcamp access

Lo que aprenderás

Understand Docker architecture and run your first containers
Write Dockerfiles that build optimized images for Python AI applications
Manage persistent data with volumes and connect containers via networking
Containerize FastAPI + OpenAI apps with proper secrets and environment management
Orchestrate multi-service AI stacks with Docker Compose (API + ChromaDB + Redis)
Apply multi-stage builds to reduce AI image sizes from 2GB to 200MB
Implement security best practices: non-root users, secrets management, image scanning
Build production-ready AI stacks with health checks and restart policies

¿Para quién es?

  • AI Engineers who need to containerize their applications for team collaboration and deployment
  • Backend developers building AI features who need reproducible development environments
  • Developers transitioning from local development to production deployment workflows
  • Teams that want consistent environments across development, staging, and production
  • Anyone following the AI Engineering Path who needs Docker for CI/CD and cloud deployment

Requisitos

  • Python intermediate (used throughout the AI Engineering Path)
  • Experience building REST APIs with FastAPI (Guide #3)
  • Basic command line proficiency (navigation, files, permissions)
  • No prior Docker experience required

Course content

1Módulo 1: Introducción a Docker y Por Qué AI Lo Necesita — Guía para el Creador8 lessons
2Módulo 2: Images y Containers — Guía para el Creador8 lessons
3Módulo 3: Volumes, Networking y Registries — Guía para el Creador8 lessons
4Módulo 4: Containerizando Python AI Apps — Guía para el Creador8 lessons
5Módulo 5: Docker Compose — Multi-Container Stacks — Guía para el Creador8 lessons
6Módulo 6: Patterns Específicos para AI — Guía para el Creador8 lessons
7Módulo 7: Best Practices y Security — Guía para el Creador8 lessons
8Módulo 8: Proyecto Integrador — AI Stack Production-Ready — Guía para el Creador8 lessons
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