Call Us: +32 2 466 00 16
Follow Us:

Developing Intelligent Solutions with the Microsoft AI Platform

3 days
3 days

Upcoming Sessions





Book now





Book now

Interested in a private company training? Request it here.

What is Artificial Intelligence?

In this chapter you will get a short overview about what AI exactly is, and what we can do with it.

  • Definitions of Artificial Intelligence
  • Domains of Artificial Intelligence
  • History, Current State and Future


Bots are the future! They are applications that interact naturally with users on social media, websites, Alexa, etc. But how do you create a proper bot?

  • The Microsoft Bot Framework
  • Debugging your Bot with the Bot Emulator
  • Turns, Messages and Activities
  • Designing a Dialog Flow
  • Prompts, Waterfalls and Components
  • LAB: Build a Crime Scene Investigation Bot

Machine Learning

This module presents the theoretical background in Machine Learning required for the next modules.

  • Supervised vs Unsupervised
  • Machine Learning Process
  • Deep Learning
  • Data Preparation
  • Tools

Azure Cognitive Services

Your intelligent app needs to understand its environment and make decisions. For that you can use pre-trained cognitive services that detect sentiment, recognize speakers, understand pictures, etc.

  • What is Cognitive Services?
  • Image Classification, Recognition and Moderation
  • Person Identification
  • Speech-to-text, text-to-speech
  • Speaker Recognition and Real-time Translation
  • Visual Search
  • Question Answering
  • LAB: License Plate Detection

Azure Cognitive Service for Language

Your application would be useless if they didn't understand their users. Azure Cognitive Service for Language allows us to create models to interpret what the user wants.

  • Conversational Language Understanding
  • Intents, Entities and Utterances
  • Key Phrase Extraction
  • Named Entity Recognition
  • Language Detection
  • Text Summarization
  • Question Answering
  • LAB: Adding Natural Language Processing to the CSI Bot

Azure Machine Learning Designer

What if Cognitive Services is not enough? Time to create your own Artificial Intelligence. Azure Machine Learning allows you to "learn" from existing data, so you can make predictions for new data. In this topic we will look at the low-code option using the designer.

  • Working with Datasets
  • Data Preparation
  • Exploring Modelling Techniques
  • Training and Evaluating Models
  • Automated ML
  • Deployment as Web Service
  • LAB: Predicting Crimes


ML.NET is all about bringing Machine Learning to your .NET application.

  • Loading and Transforming Data
  • Prediction and Evaluation
  • Importing and Exporting Models
  • Experiments
  • Automated Machine Learning
  • LAB: Hearth Disease Detection

Exposing your content to AI with Azure Cognitive Search

If your intelligent app needs to supply useful information to your customers, it needs to be able to access and search the information you have to offer. In this chapter you will learn how to make content searchable, and how to query your content intelligently.

  • Setting up Search Indexing
  • Filtering, Sorting, Facets, ...
  • Query Syntax
  • Cognitive Search and Content Enrichment
  • Consuming your Search Service
  • LAB: Searching License Plates

AI is not just for the greats, it's at the fingertips of any developer without having to be a data scientist. Add the 'wow'-factor to your application and gain insights into the workings of AI. In this course you are taken through all relevant topics to build intelligent applications.

This course targets professional developers that want to get started with the Microsoft AI platform. Participants of this course need to have a decent understanding of .NET and preferably some experience with Microsoft Azure.

Contact Us
  • Address:
    U2U nv/sa
    Z.1. Researchpark 110
    1731 Zellik (Brussels)
  • Phone: +32 2 466 00 16
  • Email:
  • Monday - Friday: 9:00 - 17:00
    Saturday - Sunday: Closed
Say Hi
© 2023 U2U All rights reserved.