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This self-paced course is the first in the course series "Foundations of Artificial Intelligence I-VI" that introduces the subject of AI and covers a variety of algorithms and methods that are of central importance in AI and of major practical relevance
Who is this course for?
The course is intended for anyone new to the field of AI that requires a general introduction to AI
What will you learn?
By the end of this course you will be able to
- reflect on the history of AI,
- be aware of the current challenges in AI,
- understand the basic design of intelligent systems based on the concept of the rational agent
- participate in AI projects in practice
Topics overview: The beginnings, history and current challenges of AI, intelligent agents
How much time you need to invest: Completing the course should take approximately four (4) weeks at three (3) hours per week. Hence, 12 hours in total.
Course Certificate: A course certificate will be generated on the successful completion of the final quiz
Course Developers: Prof Dr Jana Koehler, Anna Kenter, Andrea Nawrath-Herz and Anastasia Salyaeva in cooperation with KI Campus. (This course has been adapted and modified in accordance with its open license)
Course Contact: fairforward@giz.de
For technical questions, please reach out to the atingi support team via the help-desk on the top right or to atingi@giz.de
License: CC BY-SA 4.0
Learning pathway: This course is part of a learning pathway that includes the following courses:
- Foundations of Artificial Intelligence II
- Introduction to Machine Learning Problem Framing
- Machine Learning: Data Preparation and Feature Engineering
You want to learn more?
- Artificial Intelligence for All: Open AI Training Data for African Languages
- Launchpad to Fundamental Questions of Artificial Intelligence - Part 1: What is AI?