02 · Curriculum
What's in the course.
- LLM Observability and its ImportanceReading
- Identifying KPIs relevant to LLMs49m
- Key Performance Indicators for Measuring LLM PerformanceReading
AI Fundamentals · Intermediate
Mastering LLM Observability with Arize Phoenix
This course addresses the critical need for LLM observability using Arize Phoenix, an open-source platform built for monitoring and diagnostics. Participants will learn to identify issues like bias, hallucination, and drift, giving them ma…
- 11+
- enrolled
- 4 hrs
- of instruction
- 18
- lectures
- 5
- modules
01 · What you'll be able to do
Five things you can ship afterwards.
This course addresses the critical need for LLM observability using Arize Phoenix, an open-source platform built for monitoring and diagnostics. Participants will learn to identify issues like bias, hallucination, and drift, giving them mastery over the tool, empowering them to build trustworthy, cost-effective AI systems.
Understand the critical need
Understand the critical need for observability in large language model (LLM) applications and the challenges associated with unmonitored LLM behavior.
Gain hands-on experience
Gain hands-on experience using Arize Phoenix for real-time monitoring, traceability, and evaluation of LLM outputs.
Learn to identify
Learn to identify and measure key performance indicators (KPIs) like coherence, hallucination rate, and drift in LLM-based systems.
Master the ingestion
Master the ingestion and structuring of LLM trace data (spans, traces, and events) to facilitate transparent and meaningful analysis.
Explore advanced LLMOps workflows
Explore advanced LLMOps workflows and observability techniques using Arize Phoenix’s architecture, integrations, and MCP Server.
04 · Is it for you?
Who it's for, and what to bring.
Built for
- Beginners to Intermediate
Bring with you
- This course addresses the critical need for LLM observability using Arize Phoenix, an open-source platform built for monitoring and diagnostics. Participants will learn to identify issues like bias, hallucination, and drift, giving them mastery over the tool, empowering them to build trustworthy, cost-effective AI systems.
05 · FAQ
Before you enrol.
Each of the 5 modules is a recorded live session, with readings from that session. Watch at your own pace.
$49.99
Keep going
More in Large Language Models.
Ready to start?
$49.99, or free with Premium membership.