The general trend in any industry is for repetitive tasks to get automated and for humans to be deployed on higher skill jobs. Google Dialogflow is a cutting edge conversational interface for bots, devices, and applications.
Chatbots are voice-aware bots, i.e. computer programs designed to simulate human conversations with users. In this course, Building Chatbots with Google Dialogflow, you will learn how chatbots have become widespread across sites and learn about the multitude of AI platforms which exist to help you get up and running with a chatbot quickly. First, you will be introduced to Google Dialogflow, a conversational interface for bots, devices, and applications. Next, you will learn the basic building blocks of Dialogflow such as agents, intents, entities, annotations, and fulfillment. Finally, you will see how you can integrate your bot with external APIs in order to fulfill the user's request through Dialogflow's one click integration with a variety of messenger applications such as Slack, Viber, and Facebook. By the end of this course, you will be able to perform an end-to-end integration of Dialogflow with the Slack messaging platform.
A problem solver at heart, Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework.
Hi, my name is Janani Ravi and welcome to this course on language modeling using recurrent neural networks on TensorFlow. A little about myself, I have a Masters in EE from Stanford and have worked at companies such as Microsoft, Google and Flipkart. At Google I was one of the first engineers working on real time collaborative editing in Google Docs and I hold 4 patents for its underlying technologies. I currently work on my own startup, Loonycorn, a studio for high quality video content.
Chatbots are voice-aware bots, i.e. computer programs designed to simulate human conversations with users. Chatbots have become ubiquitous across sites, apps and a multitude of AI platforms exist which help you get up and running with a chatbot quickly.
This course introduces Google Dialogflow a conversational interface for bots, devices and applications.
In this course we’ll set up a chat interface for a simple travel website which allows you to book flights, hotel rooms and cars for your vacation. We’ll also walk through an end to end example of a bot which keeps you up to date on US stock prices.
We’ll start off with the basic building blocks of Dialogflow bots - intents, entities, annotations, actions, responses and fulfillment. We’ll cover linear and non-linear dialogs which have the ability to store context as user queries get more complex. Context also make chat conversations more natural and less annoying.
We'll also see how you can integrate your bot with external APIs in order to fulfill the user's request for example retrieving real-time stock information from finance sites.
Lastly we'll walk through an end to end integration of Dialogflow with the Slack messaging platform.
At the end of this course you should be well equipped to build your own chatbot with Dialogflow.