Even if you’re fluent in Python, building production-ready AI agents still involves a lot of boilerplate, orchestration, and debugging overhead. This webinar dives deep into how LlamaIndex’s modular, composable framework and Weights & Biases’ eval-driven development platform can help you move faster and smarter. You’ll learn how to streamline data pipelines, chain together reasoning steps, and trace agent behavior end-to-end—all while keeping full control of the stack. Whether you're experimenting with RAG pipelines or deploying autonomous agents, you'll come away with practical techniques to evaluate, monitor, and iterate with confidence.
What to expect
Live demonstrations illustrating how LlamaIndex simplifies agent logic and data ingestion
Gain real-time visibility into each step of your agent’s reasoning process with tracing, performance profiling, and debugging
Low-code and no-code workflows that let you prototype, evaluate, and iterate on agents faster and ship smarter
What you'll learn
How to assemble agent pipelines using LlamaIndex’s intuitive APIs and modular architecture
Strategies to instrument your agents with W&B Weave for tracing, evaluation, guardrails, and continuous improvement
Tips for building, deploying, and monitoring agents without writing complex code
Webinar
