Fundamentals of Artificial Intelligence
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About the training
Artificial intelligence (AI for short) is the buzzword on everyone’s lips these days, but it still holds a number of secrets. What can artificial intelligence do in comparison to natural intelligence? Can computers think at all? What is AI and what’s not AI? What can AI be used for? Is it already suitable for day-to-day use in business, or is it still a technology of the future? As engineers, we seek to answer these questions in an understandable manner and without mystifying the subject — and as a result, this overview course covers the most important areas, methods and applications of AI. Regardless of whether or not a generally accepted definition of intelligence exists, at this point AI methods are already achieving astonishing results in specialist fields which go beyond human capabilities.
Goal
You’ll learn the methodological fundamentals of AI and its most important areas of application. You’ll gain secure knowledge which will allow you to evaluate the state of the art in this field of computer science and to critically assess future developments. You’ll be able to assess whether it’ll be worthwhile for you to use AI in your business and for relevant tasks.
Target group
Technical decision makers, innovation project managers, system and software architects
Content
Foundations
- AI vs. natural intelligence
- Benefits of using AI?
- Weak and strong AI
- Difference between AI, machine learning and data science
- Problems & limitations
- When does AI pay off?
Basic application areas of AI
- Natural Language Processing & Speech Recognition
- Image recognition & face recognition
- Intelligent systems or autonomous systems & robots
- Expert systems
Basic implementation methods of AI
- Machine learning
- Deep learning
- Statistics
- Logic & planning
State of the art using examples of areas of application
- Transport & autonomous vehicles
- Computer games
- Medicine
- Finance
- Marketing
- Business & strategies
- Customer support
- Smart buildings
AI and society
- Legal bases
- Ethics
- Data protection
AI tools and machine learning platforms
- Google TensorFlow
- IBM Watson
- Microsoft Azure
- Amazon AWS
- AI & Cloud
- Programming languages
Are you looking for more?
We offer you this course as an inhouse training for your company. Here you can learn more about our service packages. Tell us more about your needs, so that we can tailor an offer that perfectly fits your requirements.
We offer this course also on several dates as a webinar and face-to-face training in German. You can find all upcoming dates for our open trainings in German on our Website.