LLM Observability: Traces & Spans

FREE

LLM Observability: Traces & Spans

Hands on training from Arize AI

In this unit of our LLM Observability Certification Series, we will cover span types and how to view traces from a LLM callback system. Through our pre-recorded instructor videos, checkpoint questions, and unit labs, you will gain a hands-on understanding of how to utilize spans and traces in a variety of language use cases.

Skills you will learn

+ Deep-dive into LLM observability traces including span types for embeddings, agents, LLMs and retrievers.

+ Analyze traces and spans from LLM callback systems.

+ Leverage open source tools like Phoenix, LlamaIndex and LangChain for LLM application building and maintenance.

Curriculum

An Introduction to Traces and Spans

Available in days

days after you enroll