Building AI Agents for L1 Customer Support

Customer support teams often face a high volume of repetitive questions that slow down response times. By implementing an AI agent for Level 1 support, you can automate routine inquiries and free up human agents for complex problem-solving. This course guides you through the foundational concepts of designing and deploying an AI support agent from scratch. You will learn how to structure automated replies, connect your agent to a knowledge base, and establish clear rules for handing off difficult tickets to real people. What you'll learn: - Understand the core architecture of an AI-driven customer support system. - Apply fundamental prompt engineering techniques to ensure accurate and polite AI responses. - Implement basic Retrieval-Augmented Generation (RAG) patterns to ground the AI in your company's knowledge base. - Design escalation workflows that accurately identify when to transfer a user to a human agent. - Practice drafting system instructions and evaluating agent performance through written exercises. The curriculum begins with essential AI terminology and foundational concepts before moving into practical text-based exercises on agent configuration and workflow design. You will explore step-by-step written scenarios that simulate real-world support ticketing environments. Designed specifically for beginners, support professionals, and SaaS team members, this course requires no prior programming experience. Start reading today to transform your customer support strategy with modern AI automation.