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[Hands-on Workshop] Building Production-Ready Voice AI Agents
Master Production-Ready Voice AI Agents
Stop Guessing, Start Building
This isn't another high-level lecture. It's a hands-on, expert-led workshop designed to take you from a basic pipeline to a robust, production-ready voice agent. Over four intense hours, you'll get deep into the technical weeds of building, deploying, evaluating, and optimizing AI agents that work in the real world.
Why is this a unique opportunity?
This exclusive workshop is held just once as part of the AI Agent Builder Summit and is limited to a small group of practitioners.
You'll work directly with creators of the industry's leading voice AI tooling and get direct, real-time feedback.
Taught by the Experts
Learn from two of the most respected voices in voice-first agent development:
Brooke Hopkins, Founder of Coval: The leading expert on testing and improving AI voice and chat agents at scale. Brooke’s passion is making sure these systems actually work, and she'll share her real-world insights.
Ben Cherry, Product and Engineering Leader at LiveKit: A seasoned technologist with a constant drive for tackling complex problems. Ben will walk you through the practical engineering and deployment strategies needed for a flawless user experience.
Who Should Attend
This workshop is for engineers and designers who are serious about building and deploying voice agents that stand up to real-world use.
This is a deep dive, not a beginner course.
Machine Learning Engineers and Applied AI Engineers with at least 2-3 years of experience.
Product-focused Engineers who need to deploy AI systems to production.
Voice UX Designers who want to understand the technical build and evaluation process.
What You'll Learn and Build
This isn't about theory—it's about results. We'll move from a simple STT → LLM → TTS pipeline to a full-fledged production-ready system.
You'll walk away with:
A working voice agent demo that you built yourself.
The essential architecture for reliable voice agents using LLMs, TTS, and STT components.
How to integrate voice input/output into complex agent workflows.
Practical strategies for deployment, performance tuning, and optimization. You'll learn to handle edge cases like noise and interruptions.
Evaluation and observability templates for voice agents, so you can stop guessing and start measuring.
Real-world design tips from instructors who are actively deploying these systems in production.
The confidence to extend or build your own voice-first AI systems.
Pre-Workshop Requirements
To make the most of this session, please come prepared with:
Familiarity with Python 3.9+ and have it installed on your laptop.
A basic understanding of LLMs and APIs.
An OpenAI API key or access to an equivalent LLM provider.
A personal laptop.
Note: Some experience building AI applications, chatbots, or voice systems is helpful but not required. We will provide a starter repository to clone beforehand.
Limited Supply
This is a paid workshop with a limited capacity of just 20 attendees to ensure a high-quality, personalized experience.
Need to know more? Food will be provided. Please email us to inform us of any allergies or dietary restrictions.