GuideBeginner

Python + REST APIs for AI

Master Python for consuming and exposing AI APIs professionally: OOP, async/await, HTTP fundamentals, streaming SSE, error handling, rate limiting, cost optimization, and a production-ready Flask AI Gateway that integrates everything.

80
lessons
10
modules
English · Spanish
available in
Yes
certificate
Free
access
NIEVA

Outcomes

What you'll be able to do

  • Build Python classes designed for API consumption (OOP + async/await + context managers)
  • Understand HTTP and REST fundamentals from the AI Engineer perspective
  • Consume OpenAI, Anthropic and Hugging Face APIs directly with requests (no SDK dependency)
  • Implement real-time streaming responses with Server-Sent Events (SSE)
  • Handle LLM-specific errors with exponential backoff and retry decorators
  • Implement client-side rate limiting respecting RPM and TPM quotas
  • Optimize API costs with token counting (tiktoken) and response caching
  • Abstract multiple AI providers behind a unified interface for easy switching
  • Build a complete Flask API Gateway with streaming, rate limiting and cost tracking

Before you start

What you need to bring

It's for you if...

  • AI Engineers who need to consume LLM APIs professionally beyond simple tutorials
  • Python developers transitioning to AI who want production-ready API skills from day one
  • Backend developers who need to build services that integrate multiple AI providers
  • Professionals building AI products who need streaming, rate limiting and cost optimization
  • Students in the AI Engineering Path preparing for FastAPI and RAG implementation

Requirements and materials

  • Python basics: variables, functions, loops, if/else
  • JSON basics: what is an object, what is an array
  • Basic terminal: running commands, cd, ls
  • No prior knowledge of APIs, async, or AI required

Content

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