According to a recent LinkedIn post from Galileo, the company is featured in a new Udemy course developed in partnership with AI educator Henry Habib, who is described as teaching more than 400,000 students. The post highlights that the course focuses on evaluation and observability for AI agents, covering both theoretical foundations and hands-on implementation.
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The LinkedIn post indicates that the curriculum includes observability tools for logging LLM interactions, tracking spans and metadata, visualizing agent flows, and monitoring safety signals in real time. It also describes coverage of evaluation methodologies such as experiment design, dataset creation, custom metrics, use of LLMs-as-judges, and version-to-version comparison.
In addition, the post notes that the course addresses production monitoring, including instrumentation of applications with Galileo’s platform, catching regressions before deployment, and understanding AI system behavior at scale. The offering is positioned as practical training for developers and AI teams that are moving from prototype agents toward production-grade systems.
For investors, the collaboration suggests a strategic push by Galileo to deepen its role in the AI development ecosystem through education and tooling around evaluation and observability. If the course successfully drives adoption or standardizes workflows around Galileo’s product, it could support user growth, expand its developer footprint, and strengthen the company’s competitive position in AI infrastructure and monitoring.