In this video, you will learn how to build production-ready AI chatbots with Google Vertex AI Conversations. You will explore what Google Cloud's Vertex AI Search and Conversations are, how to create a datastore agent, and how to bring your own content from your website into your AI chatbot. Finally, you will see how to link all of this together to build a chatbot experience along with a voicebot into your websites.

0:00 Introduction
1:08 What We Will Build Today
3:23 Conversational Experiences
4:24 Frustrating Customer Experience
6:18 Vertex AI Conversations
7:40 Vertex AI Conversation vs Dialogflow
8:35 Use of Generative AI Agent
9:15 Build a Gen AI Chatbot from Scratch
9:28 Creating a Google Cloud Project
11:20 Enabling APIs
13:50 Intro to Vertex AI Search & Conversation
15:05 Create a New App
15:30 Modules of Vertex AI Conversation
17:28 Agent Configurations
18:52 Creating a Datastore
24:40 Indexing
25:10 Preview the App
25:49 Dialogflow CX
26:00 Test the Agent in Simulator
27:03 Important Concepts
34:05 Publish the Agent
35:38 Dialogflow Messenger Embed Code
37:30 Code for Embedding the Chatbot
43:30 Interaction with the Website
46:00 Leveraging Large Language Models
49:07 Dialogflow CX Integrations
49:35 Adding a Phone Number (CX Phone Gateway)
52:54 AI Call Demo Before Indexing
55:23 AI Call Demo After Indexing
1:00:09 Conclusion

Setting up Vertex AI Conversations
Designing effective chatbot conversations
Integrating your chatbot with your website
Best practices for AI chatbot success
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#AIChatbots #WebsiteOptimization