How to Build, Evaluate, and Iterate on LLM Agents


December 5


10:00 am - 11:00 am

Event Category:

Online Events

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Website: Organizer's Website

Online Event

Join in on this workshop to learn how to develop, evaluate, and iterate LLM Agents, so that you can build powerful, effective LLM Agents.

LLM Agents are one of the most in-demand uses of large language models. This workshop, led by the expert founders of LlamaIndex and TruEra, will show you how to develop, evaluate, and iterate LLM Agents, so that you can build powerful, effective LLM Agents quickly.

In this workshop, you will learn:

  • How to use a framework like LlamaIndex to build your LLM Agent
  • How to evaluate your LLM Agent using open source LLM Observability tools like TruLens – testing for effectiveness, hallucinations, and bias
  • How to iterate your way to an effective app that will be approved for production
  • What to do to keep your app high performing in production

This event is inspired by DeepLearning.AI’s GenAI short courses, created in collaboration with AI companies across the globe. Our courses help you learn new skills, tools, and concepts efficiently within 1 hour.

A bout LlamaIndex

LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models.

About TruEra

TruEra is a leader in AI Observability, providing solutions for monitoring, testing, and debugging both predictive and generative AI. It also offers the free, open source TruLens library for testing and tracking LLM app experiments.


Jerry Liu, CEO, LllamaIndex

Jerry Liu is the CEO and founder of LlamaIndex. Previously, he was an ML Engineering Manager at Robust Intelligence and a Research Scientist at Uber. He holds a bachelor’s degree in Computer Science from Princeton University, where he was Phi Beta Kappa and the co-Director of HackPrinceton.

Anupam Datta, President and Chief Scientist, TruEra

Anupam Datta is Co-Founder, President, and Chief Scientist of TruEra. He is also a former Professor of Electrical & Computer Engineering and Computer Science at Carnegie Mellon University. His research focuses on enabling real-world complex systems to be accountable for their behavior, especially as they pertain to privacy, fairness, and security. He obtained Ph.D. and M.S. degrees from Stanford University and a B.Tech. from IIT Kharagpur, all in Computer Science.

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