Building AI Voice Agents for Customer Support

Customers expect fast, natural, and helpful support around the clock. Building conversational voice assistants with modern artificial intelligence is now more accessible than ever, allowing businesses to resolve queries automatically. This text-based course guides you through the foundational concepts and practical steps to design and implement your own voice-enabled AI agent, preparing you to build next-generation voice experiences. What you'll learn: - Understand the core architecture of voice AI, including Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS) systems. - Design natural conversational flows and apply prompt engineering techniques tailored specifically for spoken interactions. - Configure voice parameters, such as tone, speed, and latency settings, to ensure a human-like conversation flow. - Integrate knowledge bases using retrieval-augmented generation patterns to provide accurate, context-aware answers. - Implement basic error handling and graceful handoffs to human agents when complex situations arise. - Practice optimizing voice agents for real-world customer support scenarios through guided written exercises. You will begin by learning the essential terminology and foundational mechanics of voice technologies. From there, you will progress through designing conversation scripts, tuning synthetic voices, and structuring the backend logic to handle real-time audio interactions. This course is designed for beginners, customer experience professionals, and aspiring developers who want to understand voice AI without needing advanced programming experience. Begin reading today to start building responsive, natural voice agents for the modern web.