​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.