AI and Machine Learning

LLMOps: Ship and Operate LLM Apps

Learn how to implement LLMOps: Ship and Operate LLM Apps with production-grade evaluation, guardrails, and observability for relia...

Learn how to monitor ML models in production (drift) using statistical tests, automated pipelines, and observability tools to main...

Model versioning and registries enable reproducible ML deployments by tracking artifacts, metadata, and lineage for safe rollbacks...

Master MLOps: From Notebook to Production with a practical guide covering CI/CD, containerization, monitoring, and compliance for...

Decide whether to rent vs buy GPUs for AI workloads with a practical cost, compliance, and performance framework built for product...

Learn how to serve LLMs in production: throughput and latency optimization using vLLM, quantization, and GPU scheduling for reliab...