Building AI Agents with Vertex AI Agent Builder

As organizations look to automate complex tasks, artificial intelligence agents have emerged as the key to scalable, interactive automation. This text-based course introduces you to the essentials of building and managing cloud-based AI agents. You will transition from understanding basic conversational concepts to designing fully functional agents that can retrieve information, make decisions, and execute tasks. By studying clear explanations and structured examples, you will gain the confidence to implement modern AI agent architectures. What you'll learn: - Understand the core terminology of AI agents, large language models, and cognitive architectures. - Configure Vertex AI Agent Builder to create goal-oriented conversational flows. - Apply prompt engineering basics to guide agent behavior, tone, and decision-making. - Integrate retrieval-augmented generation patterns to ground agent responses in secure data. - Connect agents to external tools and APIs for real-time task execution. - Evaluate and refine agent performance using modern testing and monitoring practices. The course begins with foundational definitions of agentic workflows before guiding you step-by-step through configuration, data integration, and deployment strategies. You will read through practical design patterns and examine structured text examples that illustrate real-world applications. This course is designed for software developers, IT professionals, and technology enthusiasts who want to learn about cloud-based AI agents, with no prior experience in machine learning required. Start reading today to build your first intelligent cloud agent.