Course 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.
Who should attend
Application developers and others who wish to leverage Vertex AI Agent Builder for their applications.
Prerequisites
Google Cloud Fundamentals: Core Infrastructure (GCF-CI) or equivalent Google Cloud experience.
Course 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: Vertex AI Agent Builder (VAISC)
Module 1 - Introduction to Vertex AI Agent Builder
Topics:
- Vertex AI
- Vertex AI Agent Builder
- Example use cases
Objectives:
- Explore Vertex AI as a platform for enterprise-ready generative AI.
- Describe example use cases of Vertex AI Agent Builder.
Module 2 - Vertex AI Search
Topics:
- Apps, engines and data stores
- Data preparation
- Creating a custom search engine
- Configuration options
Objectives:
- Understand the main concepts of apps, engines, and data stores.
- Create a search engine using Vertex AI Search.
- Configure and integrate custom search engines.
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
Objectives:
- Understand the basic concepts of data store agents and Dialogflow CX.
- Create a chat application by using Vertex AI 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
Objectives:
- Manage changing data and schemas in data stores.
- Explain security features of Vertex AI Agent Builder.
- Use monitoring and logging for Vertex AI Agent Builder apps.
- Troubleshoot Vertex AI Builder applications.
Activities:
- Lab: Maintaining Search Engines using Vertex AI Search