Name: FASTAPI AI BACKEND ENGINEERING (en Inglés)
SKU: 69144118
Price: 40160.00 CLP
Availability: InStock
Author: Trent B. Presley
ISBN: 9798177908182

portada FASTAPI AI BACKEND ENGINEERING (en Inglés)

FASTAPI AI BACKEND ENGINEERING (en Inglés)

Formato

Libro Físico

Editorial

CreateSpace Independent Publishing Platform

Autor

Trent B. Presley

Idioma

Inglés

N° páginas

178

ISBN13

9798177908182

FASTAPI AI BACKEND ENGINEERING (en Inglés)

Trent B. Presley (Autor) · CreateSpace Independent Publishing Platform · Libro Físico

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Reseña del libro "FASTAPI AI BACKEND ENGINEERING (en Inglés)"

Building a FastAPI endpoint is easy. Building a backend that remains secure, reliable, observable, and maintainable when real production pressures arrive is a different challenge.FASTAPI AI BACKEND ENGINEERING takes Python developers beyond basic API tutorials and into the engineering decisions required to build production-focused APIs and AI services.Using one evolving project, KnowledgeOps API, the book develops a secure multi-user backend that stores transactional data, processes documents asynchronously, integrates AI behind controlled service boundaries, performs retrieval-augmented generation, streams grounded responses, records citations, and prepares the complete system for deployment. FASTAPI_AI_BACKEND_ENGINEERING_...You will learn how to design reliable API contracts with FastAPI and Pydantic, work with PostgreSQL and SQLAlchemy, manage migrations and transactions, implement authentication and resource-level authorization, handle background jobs and retries, integrate model providers safely, build production RAG pipelines with vector retrieval, test deterministic and nondeterministic behavior, add structured logging and distributed tracing, and deploy containerized services with operational safeguards. FASTAPI_AI_BACKEND_ENGINEERING_...The emphasis remains on why production systems succeed or fail: transaction boundaries, idempotency, concurrency, security, partial failure, model uncertainty, retrieval quality, observability, and controlled deployment.If you already understand Python and want to move from working FastAPI demos to well-structured, testable, AI-capable production backends, this book provides the practical engineering path to get there.