Design and ship a production-grade AI auto-tagging classification API: models, thresholds, architecture, evaluation, security, and scaling best practices.
An intuitive, practical guide to diffusion models for image generation—how they work, architectures, guidance, sampling, and pro tips.
A practical, end-to-end tutorial for generating, evaluating, and governing synthetic data for ML using Python, SDV, and sdmetrics.
Build a production-ready predictive analytics API with Python and FastAPI—training, serving, security, testing, and MLOps in one tutorial.
Build, deploy, and scale a production-ready AI text classification API with Python and FastAPI—training, serving, security, metrics, and monitoring.
Practical guide to AI fraud detection API integration: architecture, payloads, security, thresholds, MLOps, and operations with code samples.
