Designing and Building AI Agents with Vertex AI and Gemini

AI agents are transforming how organizations automate customer service, internal workflows, and data retrieval. Understanding how to leverage modern cloud-based agent platforms is now an essential skill for developers, product managers, and technology coordinators. This text-based course guides you through the foundational concepts of conversational AI, teaching you how to design, configure, and optimize intelligent agents. What you'll learn: - Understand the core architecture of conversational AI agents and large language models - Configure agent behaviors, goals, and instructions using Vertex AI Agent Builder - Integrate Gemini to power advanced natural language understanding and reasoning - Apply prompt engineering techniques to guide agent decision-making and tool usage - Implement Retrieval-Augmented Generation (RAG) patterns to ground agent responses in enterprise data - Design robust conversational flows and fallback strategies for seamless user experiences You will start with key terminology and foundational agent architectures before moving into detailed written guides on configuring agents, connecting data sources, and refining agent prompts. This course is designed for beginners interested in cloud-based AI automation, with no prior machine learning or programming experience required. Start reading today to begin building your own intelligent cloud agents.