Virtual Agents Learning Path
This learning path for Virtual Agents starts with understanding the fundamentals of dialogflow, conversational AI, natural language processing (NLP), and dialogue management. Learners then delve into the specific platform or framework they'll be using (e.g., Dialogflow), focusing on intent recognition, entity extraction, and building conversational flows. Next, they explore advanced topics like integrating with external APIs, handling complex dialogues, personalizing user experiences, and implementing analytics for continuous improvement. Finally, the path culminates in building and deploying a functional virtual agent, iterating on its design based on user feedback and performance metrics, and exploring best practices for security, scalability, and maintainability.
A Cloud Digital Leader can articulate the capabilities of core cloud products and services and understand how they benefit organizations. Once you complete the path, check out the Google Cloud Digital Leader certification to take the next steps on your professional journey.
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01 Dialogflow CX: Bot Building Basics
Conversational Agents provides a simple, visual bot building approach to Conversational Agent design. Bot designers now have a much clearer picture of the overall bot building process and multiple ...
02 Intro to Conversational AI and Conversational AI Engagement Framework
This is an introductory course to all solutions in the Conversational AI portfolio and the Gen AI features that are available to transform them. The course also explores the business case around Co...
03 Build basic Conversational Agents with Playbooks and Flows
Complete the Build basic Conversational Agents with Playbooks and Flows skill badge to demonstrate your proficiency in building virtual agents using traditional NLU and generative-based features.
04 Virtual FAQ with Datastore Agents
In this course, you will learn how to develop a generative agent capable of answering questions from websites, documents, and/or unstructured data. Please note Dialogflow CX was recently renamed to...
05 Dialogflow CX: Contextual Intents
In the Dialogflow CX: Parameter Manipulation lab, you learned how to implement some advanced features of Conversational Agents in order to make your agent even more conversational. In this lab you'...
06 Generative Playbooks
In this course, you will learn how to build conversational experiences in Dialogflow CX leveraging Generative Playbooks, a Gen AI feature to develop end to end agents by specifying tasks through na...
07 Incorporate Generative Features into Conversational Agent flows
Explore the Generative AI features for Conversational Agents and how to incorporate them into stateful Flows.Discover the possibilities with Generators, Generative Fallback, and Data Stores, as wel...
08 Generative AI Agents in Dialowflow CX
In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how ...
09 Stateful Flows
Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to us...
