This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.
>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service
Welcome to the course
-This module introduces the course agenda.
Building conversational experiences with Dialogflow
-This module gives an introduction of conversational agents (chatbots), reviews the evolution of, and challenges designing for rich natural language, conversational agents, and introduces Dialogflow as a tool for such experiences.
Defining Intents and Entities
-This module covers the basic building blocks of designing a conversational agent in Dialogflow
Maintaining context and taking actions
-This module continues to extend your agent's capabilities to be able to understand context and fulfill actions.
Taking your chatbot to production
-This module takes a look at how you can operationalize your agent...in other words what you need to do to take your chatbot into production.
-This module discusses some of the beta features that you can experiment with you to further enhance your chatbot
-This module covers a summary of all the topics so far