Building Agents with Vertex AI
Building Agents with Vertex AI
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 51m | 145 MB
Instructor: Morten Rand-Hendriksen
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 51m | 145 MB
Instructor: Morten Rand-Hendriksen
AI agents can serve as natural language interfaces to complex data systems by assisting users in finding data, contextualizing data, and performing tasks. In this course, you’ll learn how to use the Vertex AI Agent Builder—a powerful low-code environment—to build networks of AI agents that work together to access data and solve complex tasks through a chat interface. Through practical examples, you’ll explore how to build agents that query documents, connect to APIs, and use custom Python tools to query, retrieve, and synthesize data from an external website.
Learning objectives
- Build an AI agent using Vertex AI.
- Explore how to ground the AI agent in documents using automatic RAG.
- Extend an AI agent by connecting it to an API using a custom OpenAPI schema.
- Build a custom Python tool for an AI agent to query and synthesize live web content.
Building Agents with Vertex AI
