Vertex AI Agent Builder

Overview

Vertex AI Agent Builder lets developers, even those with limited machine learning skills, tap into the power of Google's foundation models, search expertise, and conversational AI technologies to create enterprise-grade generative AI applications. In this course, you learn how to use Vertex AI Agent Builder to create search engines and chat applications. You will then explore how to integrate these search engineers and chat applications into your own applications. Finally, you learn how to manage the tools built in Vertex AI Agent Builder in production.

Products

• Vertex AI
• Vertex AI Agent Builder
• Vertex AI Conversation

Prerequisites

Google Cloud Fundamentals: Core Infrastructure or equivalent Google Cloud experience.

Who is this for?

Developers with an interest in learning the capabilitiees of Vertex AI.

Objectives

• Explore Vertex AI as a platform for enterprise-ready generative AI.
• Create a search engine using Vertex AI Search.
• Create a chat application by using Vertex AI Agents.
• Integrate Vertex AI Agent Builder into your applications.
• Productionize search engines and chat applications created in Vertex AI Agent Builder

Outline

Module 1: Introduction to Vertex AI Agent Builder

Topics

• Vertex AI
• Vertex AI Agent Builder
• Example use cases

Module 2: Vertex AI Search

Topics

• Apps, engines and data stores
• Data preparation
• Creating a custom search engine
• Configuration options

Activities

• Lab: Integrate Search in Applications Using Vertex AI Search
• Lab: Grounding LLMs Using Vertex AI Search

Module 3: Vertex AI Agents

Topics

• Dialogflow CX basic concepts
• Creating a chat app
• Options deploying conversational agents

Activities

• Lab: Create a Generative Chat App with Vertex AI Agents

Module 4: Productionizing Vertex AI Agent Builder

Topics

• Refreshing data and schemas
• Security and DLP
• Monitoring and logging
• Troubleshooting

Activities

• Lab: Maintaining Search Engines Using Vertex AI Search