Deep dives into AI engineering, production deployment, MLOps, and modern machine learning practices.
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Hybrid LLM + collaborative filtering recommendation systems: production implementation, cold-start handling, reranking strategies & cost optimization achieving 20-60% NDCG improvements.
Build production feature stores with Feast, Tecton & Databricks. Master batch/real-time serving, point-in-time correctness, and reduce incidents by 65%.
527% traffic increase from AI sources in 2025. Learn production-ready GEO implementation with citation monitoring code, platform-specific tactics, and 90-day roadmap.
80% of AI agents never reach production due to monitoring gaps. Learn hierarchical cost attribution, platform comparison (AgentOps, Langfuse, Arize), and budget management with auto-throttling.
LLMs hallucinate in 15-30% of outputs. Learn token-level detection, semantic entropy, and metamorphic testing to catch AI errors before users do.
41% of code is now AI-generated, but incidents per PR are up 24%. Learn proven code review frameworks, security checks, and automation strategies to ship AI code safely.
