Hands-On Chatbots With Google Dialogflow

Formerly known as API.AI

What you'll learn
Build and deploy natural-sounding chatbots
Design and build sound interaction models for your chatbots
Deploy web apps to Heroku
Develop third-party apps for Slack and other messaging platforms

Requirements
Basic proficiency at programming in Python
Basic understanding of HTTP and how REST APIs work

Description
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 2016No deep learning or natural language processing expertise is needed to build even very complex botsProvides an intuitive way of specifying the conversational interfaceAutomatically and dynamically adjusts conversational responsesEasy to build, test and publish appsSupports one-click integration with other chat platforms such as Slack and Facebook
In this course, we will cover:
The big picture: How conversation flows in DialogflowInteraction models: Intents, entities, contexts and their resolution into API callsManaging 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 PlatformThird-party integration: Integrating a bot with Slack


Who this course is for:
Website and mobile app developers looking to add chat functionality,Software developers looking to build sophisticated chatbots,Developers of Facebook, Slack or other messaging platform apps looking to add chatbots to their apps