Building AI Agents with Vertex AI and Gemini

As organizations look to automate customer support and information retrieval, AI agents have become essential tools for modern developers. Understanding how to build these agents on the cloud allows you to create conversational interfaces that can reason, search, and act on complex data. In this text-only course, you will transition from an AI curious beginner to a confident builder of cloud-based AI agents. You will read step-by-step conceptual breakdowns and study practical configurations to understand how conversational agents, enterprise search, and large language models work together. What you'll learn: - Learn the foundational concepts of AI agents, natural language processing, and cloud-based machine learning. - Configure conversational agents and search applications using Vertex AI Agent Builder. - Apply modern retrieval-augmented generation (RAG) patterns to connect LLMs with secure enterprise data. - Understand the role of Gemini in driving reasoning, intent detection, and structured responses. - Master prompt engineering basics to guide agent behavior and maintain conversational flow. - Design agent workflows that handle user queries, manage state, and execute API integrations safely. The curriculum begins with essential definitions of agentic workflows and large language models before moving into practical configuration steps. You will then explore how to ground your agents in real-world data sources and secure their interactions. This course is designed for beginner developers, cloud enthusiasts, and technology professionals who want to understand AI agents without any prior machine learning background. Start reading today to build your first intelligent cloud agent.