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Deployment & Cloud Infrastructure Guide

64

Lessons

8

Modules

🎓

Bootcamp access

Lo que aprenderás

Build a decision matrix to choose between Local, Serverless, Managed, and Self-hosted deployment strategies
Deploy multi-container AI apps locally with Docker Compose and production-like configuration
Implement serverless AI endpoints with AWS Lambda, including cold start handling and timeout configuration
Develop and test cloud pipelines locally with LocalStack (S3, Lambda) at zero cost
Integrate AWS services (S3, Lambda, SageMaker basics) for AI applications
Apply cloud migration patterns: same code running on LocalStack and AWS with environment abstraction
Evaluate and deploy to alternative platforms: Render, Railway, Fly.io
Deploy a complete AI system to production with validated decision matrix and operational runbook

¿Para quién es?

  • AI Engineers with containerized apps and CI/CD pipelines ready to choose deployment strategy and platform
  • Backend developers expanding to cloud who need to evaluate AWS vs modern alternatives (Render, Railway, Fly.io)
  • Tech leads preparing cloud infrastructure for AI systems who want decision frameworks and LocalStack for zero-cost learning
  • Developers who want to learn AWS without spending money (LocalStack as gateway)
  • Teams transitioning from "works on my machine" to production-deployed AI systems

Requisitos

  • Docker Essentials (Guide #15): images, containers, Docker Compose
  • CI/CD for AI Systems (Guide #16): GitHub Actions, deployment pipelines
  • Python intermediate: FastAPI, Pydantic, async/await
  • Experience with at least one functional AI app (RAG, agent, chatbot)
  • Basic knowledge of REST APIs and HTTP
  • Git and GitHub for version control

Course content

1Módulo 1: Understanding Deployment Options — Guía para el Creador8 lessons
2Módulo 2: Local & Container Deployment — Guía para el Creador8 lessons
3Módulo 3: Serverless & Lambda for AI — Guía para el Creador8 lessons
4Módulo 4: LocalStack — AWS Local Development — Guía para el Creador8 lessons
5Módulo 5: AWS Services for AI (S3, Lambda, SageMaker Basics) — Guía para el Creador8 lessons
6Módulo 6: Cloud Migration Patterns — Guía para el Creador8 lessons
7Módulo 7: Alternative Platforms (Render, Railway, Fly.io) — Guía para el Creador8 lessons
8Módulo 8: Proyecto Integrador — Deployed AI System — Guía para el Creador8 lessons
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