In-depth guides, curricula, and operating playbooks for building real-world AI systems. Dive into structured learning paths built from production experience.
Comprehensive guide to building, deploying, and maintaining ML systems in production environments with real-world examples and best practices.
A practical guide to statistical concepts essential for deploying and monitoring ML systems in production
A multi-chapter guide covering the fundamentals and operational practices for deploying autonomous AI agents in production.
Practical guide to building production-ready generative AI applications with LLMs, covering architecture, optimization, and real-world deployment strategies.
A practitioner-focused reference covering 43 AWS services across 9 categories for building production ML systems.