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Overview
“Virtual FAQ with Data Store Agents” is a hands-on course designed for developers, support engineers, and solution architects looking to create intelligent, conversational FAQ systems powered by data store agents. This course teaches how to build virtual agents that can dynamically retrieve, understand, and answer user queries using structured and unstructured data stored in vector databases or enterprise knowledge stores. Participants will learn to integrate retrieval-augmented generation (RAG) techniques with large language models (LLMs) to enable contextual, real-time FAQ responses....
Syllabus
- Introduction to Vertex AI Search, and Conversation and Gen AI agents
- What is Vertex AI?
- Data store agents and its advantages
- Good use cases for data store agents
- High level overview of data store agent implementation
- Introduction to Vertex AI Search and Conversation and data store agents Quiz
- Scope and design
- Scope and design
- Scope and design Quiz
- Build
- Data store types
- Data sources
- Connecting a data store to an agent
- Add personalization
- Build Quiz
- Testing
- How to create the evaluation set
- Using a rating scale
- Creating and executing a test plan
- Types of testing
- Testing Quiz
- Deployment and post-deployment monitoring and optimization
- Deployment and post-deployment monitoring and optimization
- Deployment & Ongoing Optimization Quiz
- Common issues and troubleshooting
- Common issues and troubleshooting
- Common errors and troubleshooting Quiz
- Generative Chat App with Vertex AI Agent Builder and Dialogflow
- Additional Resources
- Additional Resources
- Your Next Steps
- Course Badge
Instructor
Google Cloud Skills Boost
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