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CX Agent Studio: Build Multimodal Customer Experience AI
Rating: 4.9 out of 5(2 ratings)
11 students

CX Agent Studio: Build Multimodal Customer Experience AI

Master Google Cloud's next-gen AI platform: Build, evaluate & deploy voice + chat agents with MCP, callbacks & guardrail
Created byAmrutlal Ratilal
Last updated 6/2026
English

What you'll learn

  • Build production-ready AI agents using Google CX Agent Studio's visual interface with native voice, chat, and multimodal capabilities
  • Design and connect MCP servers, Python tools, OpenAPI integrations, and data stores to create agents that interact with external systems
  • Evaluate agent performance using Golden and Scenario-based testing, and implement Quality Hill Climbing to systematically improve agent quality
  • Deploy conversational agents to web widgets, Twilio, Google Telephony Platform, and third-party CCaaS providers with human escalation workflows
  • Configure guardrails, callbacks, and agent memory to build secure, enterprise-grade agents with logging, authentication, and policy enforcement
  • Integrate agents with Gemini Enterprise for Customer Experience, Agent Assist, Salesforce, and ServiceNow for complete contact center solutions

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Course content

1 section • 12 lectures • 2h 56m total length

  • How to Create Google Cloud Project and Enable CX Agent Studio4:03
  • Building Your First Agent Application17:43

    Customer Experience Agent Studio (CX Agent Studio), a part of the Gemini Enterprise for Customer Experience, helps you create and manage conversational experiences through features like human-like voices, dynamic personalization, multi-modal interactions and intelligent decision making, enabling agents to adapt during conversations.

  • The Complete Guide to CX Agent Studio Architecture — Multi-Agent Design Patterns0:10
  • Create Agents with AI in CX Agent Studio -New lab17:43
  • Build AI Agents FAST with Google CX Agent Studio0:56
  • Google CX Agent Studio Fundamentals
  • Native Audio & Voice Configuration13:45
  • Tools & External Integrations23:54
  • Production Readiness24:09
  • cxas scrapi tool for create cli5:54
  • Build a Telecom PoC with Hermes Agent + CXAS Scrapi | CLI Tutorial38:28
  • Mastering cxas-scrapi Claude, Sim Evals GitHub Actions25:38
  • What is Google CX Agent Studio? Understanding the Next Evolution of Conversation4:19
  • CX Agent Studio: Build Multimodal Customer Experience AI — Practice Test

Requirements

  • Basic understanding of conversational AI or chatbot concepts. No prior CX Agent Studio experience required.
  • Familiarity with Python is helpful for tool creation but not mandatory - we cover everything step by step.
  • Willingness to learn and experiment. All code samples and templates are provided.

Description

Build Production-Ready AI Agents on Google Cloud's Latest Platform!

CX Agent Studio is Google Cloud's next-generation platform for building intelligent customer experience agents - and this is the most comprehensive course available to master it.


Why CX Agent Studio?

Traditional chatbot platforms are being replaced by agentic AI that can reason, plan, and execute complex tasks. CX Agent Studio, built on Google's Agent Development Kit (ADK), brings this power to enterprises without requiring deep coding expertise. With native voice support, ultra-low latency, and AI-assisted building - you can create agents in days, not weeks


What Makes This Course Different?

  • Hands-On Labs: 5 comprehensive labs with 10+ hours of practice

  • Real Code: Python tools, MCP servers, callbacks - all provided

  • Production Focus: From building to deployment to monitoring

  • Latest Content: Updated for 2026 with newest features


What You'll Build

  • By course end, you'll have created a complete, production-ready customer service agent with

  • Multi-agent architecture with specialized sub-agents

  • Native voice capabilities in 40+ languages

  • External integrations via MCP, OpenAPI, and connectors

  • Comprehensive evaluation suite with Quality Hill Climbing

  • Security guardrails and responsible AI controls

  • Deployments to web widget, telephony, and API

  • CX Agent Studio console and agent builder

  • Agent instructions and AI-assisted refinement

  • Python tools, OpenAPI, Data Store, and MCP integrations

  • Native audio and voice configuration

  • Golden and Scenario-based evaluations

  • Quality Hill Climbing with AI assistance

  • Variables, callbacks, and deterministic controls

  • Guardrails: Prompt Guard, blocklists, and safety levels

  • Web widget, Twilio, Five9, and API deployments

  • Human escalation and CCaaS integrations

  • Gemini Enterprise for Customer Experience


Who Is This For?

  • AI Engineers building conversational experiences

  • Dialogflow developers upgrading to CX Agent Studio

  • Contact center professionals implementing AI self-service

  • Solution architects designing omnichannel systems

  • Anyone wanting to master Google Cloud's latest AI platform


Prerequisites:

  • Basic understanding of conversational AI concepts

  • Google Cloud account (free tier works for labs)

  • Python familiarity helpful but not required

Who this course is for:

  • AI Engineers and Developers looking to build enterprise conversational agents on Google Cloud Answe
  • Dialogflow CX users wanting to upgrade to the next-generation CX Agent Studio platform
  • Solution architects designing omnichannel customer experience systems with voice and chat
  • Product managers and business analysts who want to understand AI agent capabilities without deep coding

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