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Automate Interactions with Contact Center AI: Challenge Lab

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Checkpoints

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Create a Regional Cloud Storage bucket

Create a Cloud Function

Create a BigQuery dataset

Create a Pub/Sub topic

Create a Regional Cloud Storage bucket with DFaudio folder

Deploy Dataflow pipeline

Process the sample audio files

Run a Data Loss Prevention Job

Automate Interactions with Contact Center AI: Challenge Lab

1 个小时 30 分钟 9 个积分

GSP311

Google Cloud Self-Paced Labs

Overview

In a challenge lab you’re given a scenario and a set of tasks. Instead of following step-by-step instructions, you will use the skills learned from the labs in the quest to figure out how to complete the tasks on your own! An automated scoring system (shown on this page) will provide feedback on whether you have completed your tasks correctly.

When you take a challenge lab, you will not be taught new Google Cloud concepts. You are expected to extend your learned skills, like changing default values and reading and researching error messages to fix your own mistakes.

To score 100% you must successfully complete all tasks within the time period!

This lab is recommended for students who have enrolled in the Automate Interactions with Contact Center AI quest. Are you ready for the challenge?

Topics tested

  • Create a Cloud Storage bucket
  • Create a Cloud Function
  • Create a BigQuery dataset and table from an existing schema
  • Create a Pub/Sub topic
  • Deploy Dataflow pipeline
  • Write SQL queries

Prerequisites

  • Familiarity with AI/ML APIs on Google Cloud, source repositories, Pub/Sub, BigQuery and Dataflow.
  • Familiarity to use text editors such as vim, emacs, or nano.

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  • 获取对“Google Cloud Console”的临时访问权限。
  • 200 多项实验,从入门级实验到高级实验,应有尽有。
  • 内容短小精悍,便于您按照自己的节奏进行学习。
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