hands-on labIntegrating Azure Bots with Azure Cognitive Services
1h 30m
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.
Lab steps
Logging in to the Microsoft Azure Portal
Retrieving Azure Cognitive Services API Credentials
Connecting to the Lab Host Virtual Machine Using RDP
Creating an Azure Bot Locally
Integrating an Azure Bot with Azure Cognitive Services
Deploy An Azure Bot Service Bot to Azure
Validating an Azure Bot Service Bot Deployment
Lab description

Bots have a huge range of uses, including being used as virtual assistants, customer service reps, web app or microservice front ends,  and much more. Bots communicate naturally with customers and internal teams alike to provide intelligent, targeted solutions for nearly every business type.

Teams use Azure bots in part because of the tight integration they offer with most other Azure services. One common example is combining bots with AI services, to combine intelligent bots capable of understanding and responding intelligently to end-user comments. In this lab, you'll create an Azure bot, integrate it with the Azure Cognitive Services API to allow it to guess the sentiment of end-users, and publish that bot to Azure Bot Service.

Lab Objectives

Upon completion of this lab you will be able to:

Intended Audience

This lab is intended for:

  • Developers
  • Cloud engineers
  • Anyone aiming to implement AI or machine learning within their workflow


You should be familiar with:

  • The principles of Node.js is helpful but not required
  • The principles of the Azure Portal is helpful but not required
  • Basic skills in Powershell is useful
Environment before
environment before preview
Environment after
environment after preview
About the author
Matt Martinez
Cloud Content & Labs QA
Learning Paths

Matt has worked for multiple Fortune 500 companies as a DevOps Engineer and Solutions Architect. He is an AWS Certified DevOps Engineer - Professional, and an AWS Certified Solution Architect - Associate. He enjoys reading and learning new technologies.

Covered topics