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Deployment & Cloud Infrastructure Guide

64

Lecciones

8

Módulos

🎓

Acceso por bootcamp

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

Contenido del curso

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