AI Agents in
Production.
Learn how to build, deploy, and scale autonomous AI agents that actually work in enterprise environments. No fluff, just architecture and code.
Featuring Experts From
Dr. Sarah Chen
Head of AI Research
Marcus Webb
Lead Systems Architect
What You'll Master
Tool Use & Function Calling
How to reliably connect agents to your APIs without prompt injection risks.
Multi-Agent Orchestration
Patterns for hierarchical and flat agent teams working on complex tasks.
Human-in-the-Loop
Implementing approval workflows for high-stakes autonomous operations.
Evaluation Frameworks
Using LLM-as-a-judge to benchmark agentic performance at scale.
Session Agenda
The State of AI Agents
Moving past LLM wrappers into autonomous workflows.
Architecture Deep Dive
Memory, tool use, and multi-agent orchestration patterns.
Production Pitfalls
Handling hallucinations, rate limits, and security boundaries.
Live Q&A
Ask our engineering team anything.
Common Questions
Will the recording be available?
Yes, all registrants will receive a link to the recording and the session slides within 24 hours.
Is this suitable for non-technical roles?
This is a technical deep dive. While PMs and leaders will find the architecture sections useful, we will be looking at code and system diagrams.
Do I need to prepare anything?
Just bring your questions. We'll provide a GitHub repo with the code samples used during the demonstration.
Secure Your Spot
Join 2,500+ engineers. Recording sent to all registrants.