Free Download CX Agent Studio Build Multimodal Customer Experience AIPublished 2/2026
Created by Amrutlal Ratilal
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate |
Genre: eLearning |
Language: English |
Duration: 5 Lectures ( 1h 23m ) |
Size: 1.13 GB
✓ 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
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.
DescriptionBuild 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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