Building AI Agents for Customer Support

Customer support teams often struggle to keep up with high inquiry volumes, leading to increased costs and delayed responses. Intelligent AI agents offer a scalable solution to automate routine requests and improve operational efficiency. This course will guide you through the process of designing and implementing AI-driven customer support workflows. You will start with the fundamental concepts of artificial intelligence in customer service and progress to practical strategies for building agents that can accurately answer questions and route complex issues. What you will learn: • Understand the foundational concepts of AI agents and how they process natural language. • Design automated workflows to handle high-volume customer inquiries efficiently. • Apply basic prompt engineering techniques to ensure accurate, on-brand, and helpful agent responses. • Implement Retrieval-Augmented Generation (RAG) patterns to connect agents to your specific business knowledge base. • Create seamless escalation protocols to transition complex issues to human representatives. • Evaluate agent performance and optimize support costs through continuous improvement. The curriculum begins with essential AI terminology and definitions, ensuring a solid foundation before moving into practical design exercises. You will read through step-by-step written scenarios and configuration strategies that prepare you to deploy effective support automation. This course is designed for beginners, support managers, and business professionals with no prior programming experience who want to leverage modern AI technology. Start learning today to transform your customer support operations and build a more efficient, scalable service process.