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Discover what is covered in the Conversational AI on Vertex AI and Dialogflow CX course, including the target audience, prerequisites and the agenda, before refreshing your understanding of Dialogflow CX key concepts and terminology.

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What is generative AI for Dialogflow CX? How does it work? When would I use it? Why is it useful?

Start your journey of discovery with generative AI enablement in Dialogflow CX.

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Explore generators on Dialogflow CX, with tunable prompts, parameters and model selection. You will learn how to define, configure and deploy generators in your Dialogflow CX solutions. Also, discover some use case examples and code-based responses.

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Explore Generative Fallback responses powered by conversational design theory. Discover the different enablement levels for Generative Fallback, how to configure a text prompt and handle customer interactions.

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Explore Generative AI Agents and hybrid agents, when to use generative AI or intent-driven flows in your Dialogflow CX solutions and how to create and configure Generative AI Agents. Also, learn how to create a data store, ingest data into a data store, and manage data in a data store

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Familiarise yourself with Vertex AI Search and Conversation architecture, authentication to Vertex AI Search and Conversation apps, access control with Identity and Access Management (IAM), data governance and compliance, and pricing.

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Discover Generative Playbooks, a Dialogflow CX feature that enables you to build chat experiences with natural language by leveraging LLMs. Explore various benefits and use cases, and how they are different from Generators and Generative Fallback. Follow step-by-step instructions on how to create a Dialogflow CX agent with a Generative Playbook, including how to invoke a Dialogflow CX flow within a Playbook and connect a Playbook with a Generative AI Agent data store.

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