Artificial Intelligence Essentials
35.000+
Speakers with real-world experience
Practical experience over textbook knowledge
What you will learn
- 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
Who is this course intended for?
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.
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.
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.
Artificial Intelligence Essentials
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