Building Conversational Ai Voice & Chat Agent In 30 Minutes
Published 3/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 32m | Size: 250.12 MB
Build and Deploy Generative AI Agents for Web Chat and Voice using Vertex AI and Playbooks.
What you'll learn
Build Conversational Agents: Master the creation and configuration of a Playbook-based agent capable of handling complex customer inquiries using generative AI
Implement RAG with Data Stores: Learn to create and connect Vertex AI Applications data stores to an agent, allowing it to provide grounded, accurate responses
Deploy Multi-Channel Integrations: Gain hands-on experience enabling voice capabilities via a Phone Gateway and web chat through a customizable Messenger widget
Analyze and Optimize Performance: Develop skills in monitoring user interactions by enabling Conversation History and using analytics to identify friction point
Requirements
Google Cloud Familiarity: A high-level understanding of cloud computing fundamentals and the Google Cloud Console is recommended.
No Advanced Coding Required: This lab is rated as Intermediate, but it focuses on using the Google Cloud interface (Vertex AI and Dialogflow CX) rather than writing complex code.
Google Cloud Credentials: You do not need your own paid account. The lab provides temporary credentials and a project for a fixed duration (usually 1 hour and 30 minutes) at no additional cost beyond the lab credits.
Navigate the Google Cloud Console and enable specific APIs.
Incognito Mode: It is strictly required to run the lab in an incognito/private window to prevent conflicts between your personal Google account and the temporary lab credentials provided.
Basic Conversational AI Knowledge: You should be generally familiar with basic concepts of conversational AI, such as how virtual agents interact with users.
Description
Stop spending weeks building complex intent trees. In this high-impact 30-minute lab, you will learn to bridge the gap between static documents and interactive customer service. You will build a sophisticated Conversational Agent using Vertex AI Applications data stores to turn your existing PDFs and manuals into a live knowledge base.
Designed for developers and startup founders who need to move fast, this course shows you how to configure Playbook instructions that allow an agent to handle complex, grounded conversations.
By the end of this 30-minute session, you will have a fully functional bot deployed across a Conversational Phone Gateway and a web chat widget, ready to scale your business instantly.
Launch Your AI Support Agent in 30 Minutes: From Documentation to Live Web and Voice Chat.
Zero to AI: Build a Professional Multi-Channel FAQ Bot for Your Startup in Just 30 Minutes.
Rapid Deployment with Vertex AI: Standing Up a Generative AI Playbook and Data Store in 30 Minutes.
Automate Your FAQs in 30 Minutes: Deploy a Voice and Text Agent Grounded in Your Own Data.
In this course, you will learn to bridge the gap between static data and interactive customer service. You will build a sophisticated Conversational Agent from the ground up, utilizing Vertex AI Applications data stores to turn your documents into a powerful knowledge base.
Who this course is for
Conversational AI Developers & Designers: Those looking to transition from traditional intent-based models to modern Playbook and Generative AI architectures.
Customer Experience (CX) Professionals: Individuals who want to understand how to leverage Vertex AI Applications data stores to automate FAQ handling using their company's existing documentation.
Cloud Architects & IT Specialists: Professionals tasked with integrating AI agents into existing communication channels, such as voice gateways or web messenger widgets.
Business Analysts: Those interested in using Conversation History and Analytics to derive insights from customer interactions and improve service quality.
AI Agent learner
Startup Founders and New Business Owners b
Rapid Scaling: Quickly handle high volumes of customer FAQs about new products or services without increasing headcount.
rofessional Presence: Launch with both a customized chat widget and a professional voice gateway, giving a small startup the "big company" feel from day one.
Cost Efficiency: Use existing documentation (PDFs, manuals, or site content) to "train" an agent in minutes rather than weeks.
Building Conversational Ai Voice & Chat Agent In 30 Minutes
