IBM Fundamentals of Artificial Intelligence
In this course from IBM and the AI Campus, you will explore the history of AI and learn about the concepts and methods that are used today and will be used in the future to support people with helpful tools.
📊︎
Beginner
⏱
1.5 hours
🏅︎
Record of Achievement
🎁︎
For free
©
CC BY-NC-SA 4.0
🌐︎
German
Overview
Artificial intelligence (AI) is not yet 100 years old and has already undergone three waves of development. Today, it provides humanity with the most powerful tools for analysing complex data – not only to recognise patterns and meanings, but also to learn without human intervention. In this course, you will explore the history of AI and examine how it can unlock unstructured data.
What content can I expect?
- What is artificial intelligence?
- What are the three epochs of computing?
- What are structured, semi-structured and unstructured data?
- Is machine learning the solution to the problem of unstructured data?
- What are three common methods of machine learning?
- How will machine learning change human life?
What will I achieve?
By the end of the course, you will be able to
- define artificial intelligence.
- describe the three levels of artificial intelligence.
- describe the history of AI from the past to its possible future.
- distinguish between structured and unstructured data.
- define machine learning and explain how it structures data.
- explain how machine learning uses probabilistic calculations to solve problems.
- describe three methods used for analysing data in machine learning.
- describe an ideal relationship between humans and machine learning.
What prerequisites do I need?
- no prior knowledge required
