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Incorporating Generative Features into Complex DFCX Agents
Google via Google Cloud Skills Boost
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Overview
“Incorporating Generative Features into Complex DFCX Agents” is a specialized course designed for AI developers and system architects focused on enhancing Digital Frontline Customer Experience (DFCX) agents with advanced generative AI capabilities. This course explores how to integrate generative features—such as natural language generation, summarization, and contextual conversation—into complex DFCX systems to improve customer interactions and automate sophisticated workflows. Participants will learn methods to combine generative AI models with rule-based and traditional dialogue management techniques, creating hybrid agents capable of...
Syllabus
- Gen AI and Dialogflow CX: A recap
- What is generative AI and what are its benefits?
- What generative AI features are available for Dialogflow?
- What is the relationship between Vertex AI and Dialogflow?
- Where can I integrate generative AI within a conversational agent?
- Gen AI and Dialogflow CX: a recap Quiz
- Generators
- Understanding Generators
- Example: Generating a personalized conversation summary for the human agent
- Generators Quiz
- Informed decision making using Dialogflow CX generators and data stores
- Generative Fallback
- Generative Fallback
- Generative Fallback Quiz
- Dialogflow CX with Generative Fallbacks
- Data stores
- Data store implementations
- Data stores as a fallback
- Data stores via a webhook
- Data stores Quiz
- Playbooks (Generative Agents)
- Playbooks (Generative Agents)
- Demo: Pass parameters between flows and playbooks
- Playbooks Quiz
- Testing
- Testing
- Testing Quiz
- Additional Resources
- Additional Resources
- Your Next Steps
- Course Badge
Instructor
Google Cloud Skills Boost
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