real ai projects, mlops pipelines, production systems. learn from code that actually works, not tutorials.
A complete guide to setting up an MLOps pipeline with CI/CD, model versioning, and automated deployments.
Learn how to fine-tune large language models efficiently and deploy them at scale with proper monitoring.
Comprehensive guide to monitoring, alerting, and maintaining AI systems in production environments.
Real-world patterns for building production RAG systems: chunking strategies, retrieval optimization, reranking, and the mistakes everyone makes.
Complete guide to monitoring LLM applications: latency, quality, costs, errors, and building dashboards that actually help you improve your system.