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Artificial Intelligence Essentials

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Explorer

As part of the Essential training format, participants as explorers have the opportunity to gain access to cutting-edge technologies and innovative fundamentals - the basics necessary to build a foundation for further levels of development.

Artificial Intelligence

Data is the new oil. To be ready for the data-driven future, strategic cornerstones need to be prepared and promising data-related use cases must be implemented in a scalable manner. For this, AI offers a powerful toolset to optimize processes, reduce waste and develop new digital products and services.

E-Learning

With our trainings in e-learning format, you get instant access to the learning content on our e-learning platform. You can access the content at any time and thus process what you have learned at your own pace.

Level 2

1 Day

Taking on new tasks or responsibilities requires dedicated understanding of new topics. In order to get a good overview of these innovation and technology fields and to get to know new methodologies and approaches, we offer you practice-proven basic knowledge in 1-2 day training formats.

About this Training

The Artificial Intelligence Essentials teach you fundamental concepts of Artificial Intelligence: from insights into successful AI use cases to explanations and demystification of the technology and the added value behind AI-based solutions.

Why this Training is right for you

The Artificial Intelligence Essentials are aimed at AI beginners who want to gain a common understanding of the most important terms related to artificial intelligence and receive initial recommendations on how to approach AI projects. Additionally, this course is for explorers who are interested in learning a common understanding of AI and to reduce fears in their own environment.

Training Goals

After this training, you will have understood the value drivers and performance of AI solutions. You will gain insights into the technological background of basic AI concepts and have methodological knowledge to introduce and set up an AI project.

Learn more about

Definition of AI & distinguishing between AI and non-AI solutions
AI value drivers
Current best practices and industrial use cases
Anatomy of AI applications, Domain Knowledge, Black Box, White Box, Explainable AI, Data Value
Evaluating whether AI is ready for the challenge (maturity, feasibility)
Setting up an AI Project
Building Blocks of AI
Potential Partner Landscape

Anne Loos

Executive Director New Business & Technologies

anne.loos@innovation-center.com