AIR Regensburg

AI in Business

12.09.2024

Learn to set up an AI project in your own company

About this online course

If your business hasn't started on its artificial intelligence (AI) journey - you even wonder what the big deal is all about - you will want to take this course. AI is not just another buzz word. It has already found use cases in healthcare, energy, manufacturing, insurance and other industries. Benefit from the experience of a range of Belgian companies as well as field experts to gain competitive advantage.

In less than 4 hours, you will understand the basics of AI, learn about the business drivers for AI and receive practical guidance on how to get started. Video testimonials and more than 30 practical use cases are bound to inspire you for your own AI journey.

Course topics

This course has been divided into 5 modules so as to allow you to pause and study at your own pace.

Chapter 1: Definitions

What is AI? What is the difference between machine learning and deep learning? How does the EU define an AI system?

Chapter 2: Deep Dive

Understand the key concepts of AI, machine learning and deep learning, as well as the difference between cloud-, hybrid- and edge computing.

Chapter 3: Why Now?

A brief look into the history of AI and where we are today. What's all the buzz about AI? Why should you get started now? How long will it be before evil robots take over the world?

Chapter 4: AI in Business

A practical guide to get you started on your own AI journey.

Chapter 5: Let's get practical.

Be inspired by more than 30 Belgian AI use cases in different industries, such as energy, healthcare, manufacturing, smart cities, and so on.

Certificate

Upon completion of chapter 4 'AI in business', you will receive a certificate demonstrating your ability to set up your own AI project.
 


 

  • Target group: production managers, CxO's, HR managers, data scientists, business analysts, business architects, functional analysts, IT or business consultants, IT or business consultants with an interest in data analytics
  • Duration: 3h30 + 30 use cases
  • Level: Introductory
  • Price: Free of charge
  • Language: English


Link for registration

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