| Summary: | Formerly known as API.AI About This Video The big picture: How conversation flows in Dialogflow Interaction models: Intents, entities, contexts and their resolution into API calls Managing dialogs: Handling the flow of conversation using linear and non-linear dialogs. Fulfilment models: Using webhooks to fulfill user intents and how to connect to external services to respond to queries. Deployment: Deploying a flask app to Heroku, and a Cloud Function to the Google Cloud Platform Third-party integration: Integrating a bot with Slack In Detail Chatbots are voice-aware bots, i.e. computer programs designed to simulate human conversations with users. This course introduces Dialogflow, Google's conversational interface for bots, devices, and applications. DialogFlow is state-of-the-art, launched in September 2016 No deep learning or natural language processing expertise is needed to build even very complex bots Provides an intuitive way of specifying the conversational interface Automatically and dynamically adjusts conversational responses Easy to build, test and publish apps Supports one-click integration with other chat platforms such as Slack and Facebook
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