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Google

Architect Customer Engagement Suite with Google AI

Google via Google Skills

Overview

Google, IBM & Meta Certificates – 40% Off
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In this course, you'll dive into the essential topics for designing, building, and maintaining a powerful Gemini Enterprise for Customer Experience (GECX) solution. Get ready to transform your understanding of what's possible and create an architecture that drives customer satisfaction. This course is designed to introduce you to the architecture of the GECX. You'll explore the main considerations for building and implementing Conversational AI solutions including key architectural components and integrations. You'll also explore integrations with Gemini Enterprise Agent Platform and get a high-level overview of the key features of GECX.

Syllabus

  • Course overview
    • Course overview
  • Conversational AI resource management
    • GECX infrastructure and resources
    • Operational environments
    • Access control
    • GECX contact center integrations
    • Google Cloud services and the Agent Platform ecosystem
    • Conversational AI resource management quiz
  • Planning for Conversational Agents and Agent Assist
    • Platform design fundamentals
    • Architectural considerations for building Conversational Agents
    • Architectural considerations for Agent Assist
    • Planning for Conversational Agents and Agent Assist quiz
  • Planning, deployment, and operations
    • Planning for a Customer Experience Insights implementation
    • GECX deployment and operations
    • Data insight extraction
    • Best practices for business continuity and disaster recovery
    • Planning, deployment, and operations quiz
  • Security and compliance
    • GECX data security
    • Personal Identifiable Information (PII) redaction
    • Settings for data redaction
    • Other compliance considerations
    • Security and compliance considerations for Conversational Agents
    • Security and compliance quiz
  • Additional resources
    • Course complete
  • Your Next Steps
    • Claim credential

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