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 convey to you the fundamental concepts of Artificial Intelligence: We span the spectrum from classical Machine Learning to Generative AI. You gain insights into successful use cases, demystify the technology, and understand the concrete value behind data-driven as well as generative solutions.

Why this Training is right for you

This course is aimed at AI beginners who want to acquire a solid understanding of the most important terms and technologies - from algorithms to Large Language Models. You receive recommendations for approaching AI projects, learn the possibilities and limitations of Generative AI, and can competently reduce fears and uncertainties in your own environment.

Training Goals

After this training, you will have understood the value drivers and performance capabilities of modern AI solutions. You gain insights into the technological background, understand the functioning of generative models, and possess methodological knowledge to successfully set up and implement AI projects.

Learn more about

  • Definition of AI and Generative AI, as well as the distinction between AI and non-AI solutions
  • AI value drivers
  • Current best practices and industrial use cases
  • Anatomy of AI applications
  • Assessment of whether AI is ready for the challenge (maturity, feasibility)
  • Strategies for the successful implementation of AI projects
  • Building blocks of AI
  • Potential partner landscape
Contact us

INC Academy

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academy@innovation-center.com

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Contact for

this course

Contact

Anne Loos

Executive Director, AI Solution Engineering

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