Detailed Course Outline
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