LLMOps

This AI systems course focuses on operationalizing machine learning and language models in production environments. It builds practical capability in monitoring, evaluation, and iteration of AI systems, including managing model performance and reliability over time. The course applies in real product work by enabling teams to make better validation decisions, improve deployment workflows, and ensure measurable outcomes for AI features. It also highlights tradeoffs between speed, quality, and scalability in real-world systems. Best suited for PMs, engineers, and technical leads working on AI products who need to manage the lifecycle of models in production and coordinate across cross-functional teams.