Build, deploy, and scale a production-ready AI text classification API with Python and FastAPI—training, serving, security, metrics, and monitoring.
A practical, secure guide to setting up a Model Context Protocol (MCP) server in TypeScript and Python, wiring clients, and hardening for production.
Use Stable Diffusion APIs in production: concepts, parameters, code examples, scaling, safety, and cost optimization.
A practical, code-first guide to Anthropic’s Claude Message Batches API: limits, pricing, prompt caching, 300k-token outputs, and production patterns.
Build a production‑ready pipeline for AI document understanding: upload, OCR, schema‑based extraction, tables, QA, validation, and storage.
Build a production-ready multi-agent system with CrewAI: agents, tasks, tools, orchestration, validation, and deployment in under an hour.
