Hello everyone and welcome back to part two of the course on Google Dialogflow. In this course, we'll be taking a hands-on approach to implementing a Dialogflow chatbot, specifically focusing on the graphical user interface.

As this is part two, if you're unfamiliar with Dialogflow, I recommend you go back check out part one and keep watching straight through part two. Apart from the GUI walkthrough in this class, we'll also be discussing the use of databases and other knowledge sources in order to provide meaningful responses that give you the option to serve real-world information to your user.

Although most of this class is introductory level, we assume you have a baseline understanding of the components of Dialogflow and it's also helpful to understand specific components such as Rest APIS and SQL. In general, Dialogflow has a heavy dependency on Google Cloud considering it's natively integrated so understanding concepts from Google Cloud serverless architecture is helpful such as what's a function.

You don't need to be an expert, just understanding Google Cloud functions and SQL servers on the cloud is helpful. And also for the most part, you don't need to understand Javascript, but if you wanna be able to follow along with one of the examples, being able to at least read basic code is pretty neat since you'll be able to just see how it works on the inside.

Much like part one of this class, part two is targeted at people who wanna learn how to make a chatbot in a very practical sense. The second part in particular though, however, takes a very developer-centric approach and if you are someone who wants to learn how to make chatbots in an immediate sense, such as you can exit this class and start making your own, this is ideal for you.

And before we get started a little bit about me again. This is a repeat if you've seen part one. My name is Chris Gambino. I'm one of the co-founders and lead architects at Calculated Systems. Before working at Calculated Systems, I worked at Google Cloud and Hortonworks where I was designing and implementing big data systems and additionally some of my recent projects have me working on high volume, high complexity, Dialogflow interfaces over text message. So you'll actually see me discuss some of what we've done in that real-world application in this class as a bit of a case study. Anyway, I hope you enjoy the class.