Voice for AI Agents and Applications

Short summary

DeepLearning.AI course teaches three practical patterns for integrating voice into AI agents: embedding voice directly in applications, layering voice onto existing text-based agents, and giving agents the ability to make outbound calls. Built on Vocal Bridge's dual-agent architecture balancing real-time responsiveness with reasoning accuracy. Covers evaluation-driven development to move voice agents from demos to production.

• •Three integration patterns: embedded voice, layered voice, voice-calling capability
• •Vocal Bridge's dual-agent architecture balances speed and reasoning accuracy
• •Includes evaluation framework for production-ready voice interactions

Generated with AI, which can make mistakes.