Target Audience

Designed for professionals looking to harness Vertex AI for creating and managing enterprise-ready generative AI applications, ensuring scalability, security, and performance

COURSE AGENDA

Introduction to Vertex AI Search and Conversation

  • Overview of Vertex AI: Understand the capabilities and features of Vertex AI as a machine learning platform for AI applications.
  • Vertex AI Search and Conversation: Introduction to Vertex AI
  • Search and Vertex AI Conversation, two powerful tools for building search engines and conversational agents.
  • Example Use Cases: Explore various use cases for integrating Vertex AI Search and Conversation into applications for enhanced user interaction.

Vertex AI Search

  • Apps, Engines, and Data Stores: Learn how apps, search engines, and data stores work together in Vertex AI Search.
  • Data Preparation: Understand the process of preparing data for custom search engines and how to structure it for optimal search performance.
  • Creating a Custom Search Engine: Build your own custom search engine using Vertex AI Search, tailoring it to specific application needs.
  • Configuration Options: Dive into the various configuration options available to optimize the search engine’s functionality and performance.

Vertex AI Conversation

  • Dialogflow CX Basic Concepts: Learn the basic concepts of Dialogflow CX, the tool used for building sophisticated conversational agents.
  • Creating a Chat App: Build a simple chat application using Dialogflow CX and Vertex AI Conversation.
  • Deploying Conversational Agents: Explore the different deployment options for conversational agents and how to integrate them into your applications for seamless interaction.

Productionizing Vertex AI Search and Conversation

  • Refreshing Data and Schemas: Learn how to refresh data and schemas to ensure that search engines and chat applications are up to date.
  • Security and Data Loss Prevention: Understand best practices for ensuring security in your search engines and conversational agents, including Data Loss Prevention (DLP) strategies.
  • Monitoring and Logging: Set up monitoring and logging to track performance and usage of the applications in real-time.
  • Troubleshooting: Learn how to diagnose and resolve issues that may arise during the deployment or use of Vertex AI Search and Conversation.

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