LINK : qwiklabs-free 3 HOURS
In this course you'll learn how to create, deploy, secure, debug, and manage virtual agents (also known as Voice Bots or Chat Bots). Gone are the bots of the past which intepreted inquiries incorrectly or couldn't maintain context within a conversation.
Google's Contact Center Artificial Intelligence (Contact Center AI) platform provides all the tools, services, and APIs you'll need to build your virtual agent so you can hold intelligent conversations with customers reaching out to you for assistance.
In this lab you'll add capability to your virtual agent so that your agent can handle additional turns in the conversation while recalling the context. By the end of this module, you'll be able to:
Add input and/or output context to some of the intents to maintain continuity.
Add followup intents to branch the conversation.
The following are some resources that may help you complete lab components of this course:
Refer to the Cloudio Virtual Agent Reference when you need more ideas on the design.
Refer to this lab's solution when you want to compare your work with the sample solution to the lab.
Use this lab's quick start when you missed an earlier lab and need to import a prerequisite virtual agent in order to work on the lab for this module.
Setting up Qwiklabs
For each lab, you get a new Google Cloud project and set of resources for a fixed time at no cost.
Sign in to Qwiklabs using an incognito window.
Note the lab's access time (for example, 02:00:00), and make sure you can finish within that time. There is no pause feature. You can restart if needed, but you have to start at the beginning.
When ready, click Start lab.
Note your lab credentials (Username and Password). You will use them to sign in to the Google Cloud Console.
Click Open Google Console.
Click Use another account and copy/paste credentials for this lab into the prompts. If you use other credentials, you'll receive errors or incur charges.
Accept the terms and skip the recovery resource page.