Create AI Support Agents with RAG and Human Handoff

Customer support is evolving rapidly with the rise of agentic AI. Building intelligent bots that can accurately answer queries and know when to step back is an essential skill for modern product development. In this text-based course, you will learn how to design and implement AI-driven customer support agents tailored for SaaS environments. Starting with foundational AI concepts, you will explore how to connect language models to your own data and create reliable fallback mechanisms for human intervention. What you will learn: - Understand the fundamentals of agentic AI and modern language models. - Build Retrieval-Augmented Generation (RAG) pipelines to answer questions using custom data. - Store and retrieve information effectively using basic vector database concepts. - Design smooth human handoff workflows for complex customer escalations. - Apply prompt engineering techniques to ensure accurate and safe agent responses. The course begins by demystifying key AI terminology before guiding you through the architecture of a modern support bot. You will read through practical examples and written exercises that demonstrate how to route user queries, manage context, and handle escalations. This course is designed for beginners, aspiring product developers, and technical support staff with no prior AI experience required. Start reading today to build your first intelligent customer support agent.