Arize University Courses
Course Curriculum
This course covers common simple and complex agent architectures, as well as when and how to implement an agent into your LLM system. Upon completion of this course you will gain an understanding of how to implement a specialized agent for your use case.
Course video (22 minutes)
Quiz (10 minutes)
Lab (7 minutes)
The LLM evaluation metrics course teaches how implementing LLM evaluations provide scalability, flexibility, and consistency for your LLM orchestration framework. Upon completion of this course you will gain understanding of how to implement LLM observability for your application.
Course video (26 minutes)
Quiz (10 minutes)
Lab (6 minutes)
This course covers span types and how to view traces from a LLM callback system. Upon completion of this course you will gain a hands-on understanding of how to utilize spans and traces in a variety of language use cases.
Course video (16 minutes)
Quiz (10 minutes)
Lab (6 minutes)
Skills you will learn
Technical requirements
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Completion requirements
Upon completing all units of the LLM Observability Curriculum, you will receive a Certificate of Completion to highlight your new skillset. Completing the lab and passing the quiz are required to receive each Certificate of Completion.