AI-102: Microsoft Azure AI Engineer

In this 4-day training, you will learn how to design, build, manage and implement AI Solutions for the Azure cloud environment. 

The course will show you how to plan and manage AI solutions using Azure Cognitive Services, and teach you how to quickly and easily build computer vision, natural language processing, knowledge mining and conversational AI solutions using the power of the Azure cloud.

This training prepares you for the Microsoft Azure AI exam and certification.

Here’s What You’ll Get

Training Manual
Hands-On Lab
Cloud Credit
Private Slack Channel
Unlimited Teams Calls
Exam Voucher
Certificate of Completion
Self-Paced or Classroom Training
180-day Lab Access

Training Details

This training provides software developers with the knowledge and skills to design and implement Azure AI Solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and the Microsoft Bot Framework. 

You will learn how to create, deploy, and secure Azure Cognitive Services. You’ll develop applications that analyze texts, recognize and synthesize speech, understand FAQs, process natural language queries, analyze images and videos, and provide intelligent search solutions for knowledge mining. 

The training combines lectures with lab exercises to help you understand the contents. As part of this training, you´ll receive an Azure Pass with credits to spend on your own cloud services. The pass is valid for 15 days.



Name: AI-102: Microsoft Azure AI Engineer.

Format: Classroom.

Content: training manual, case studies, lab exercises, Azure cloud credit, practice exam, and an exam voucher.

Requirements: a Windows, Mac, or Linux laptop with Visual Studio Code, the NET Framework and a web browser installed. Chrome or Edge is recommended. Students must also have knowledge of Microsoft Azure, be able to navigate the Azure Portal, and have a working knowledge of either C# or Python. 

Support: Live classroom support.

Associated certification: Microsoft Azure AI Engineer.


Training Curriculum


Course Intro: About this course

Introducing Azure Cognitive Services


Overview of Azure Cognitive Services

Creating Cognitive Services Using the Azure Portal

Testing Cognitive Services Using the API Testing Console

Module Summary

Lab Exercises

Meeting the Technical Requirements

Implement Computer Vision

Creating Bots


Introducing the Bot Service

Create a Basic Chat Bot

Testing with the Bot Emulator

Module Summary

Lab Exercises

Basic Filter Bot

Log Chat

Enhancing Bots with QnA Maker


Introducing QnA Maker

Implementing a Knowledge Base with QnA Maker

Integrate a Bot and QnA Maker

Module Summary

Lab Exercises

Integrate QnA Maker with a Bot

Language Understanding with LUIS


Introducing Language Understanding

Create a LUIS Service

Build Intents and Utterances

Module Summary

Lab Exercises

Implement the LUIS Models 

Enhance your Bot with LUIS


Overview of Language Understanding in AI Applications

Integrating LUIS with a Bot

Module Summary

Lab Exercises

Integrate LUIS into Bot Dialogs

Integrate Cognitive Services with Bots and Agents


Understanding Cognitive Services for Bot Interactions

Sentiment for Bots with Text Analytics

Detecting Language in a Bot

Module Summary

Lab Exercises

Language Detection in a Bot

Book a Classroom Training

Classroom trainings are conducted during business hours and hosted online or on-site at your place of work. All students need to participate is a laptop, a web browser, and Microsoft Teams.

Please use the form below to book a call with me to set up your classroom training. We’ll discuss your business requirements, team size, and preferred location of the training (online or on-site) and make sure you get what you need. A typical classroom training can usually be scheduled within 30 days and can accomodate up to 15 people on-site and 30 people online.

Looking For Something Else?

Is this training course not exactly what you’re looking for? No problem, I have many other AI and Data Science training courses in my catalog. Take a look at these alternatives.
“Net de AI-900 AI Fundamentals gevolgd. Goede uitleg door Mark Farragher. Zo’n goede docent kom je niet vaak tegen. Zeker een aanrader!’

Ralf Peeters, online student