Topics of the Artificial Intelligence course:
- Introduction to understanding the mechanism of artificial intelligence.
- Applications of artificial intelligence in practical life.
- Artificial intelligence and its various types and applications.
- Types of artificial intelligence algorithms.
- Search algorithms in artificial intelligence.
- Understanding and machine learning in artificial intelligence.
- How to use machine learning algorithms in various applications.
- Explanation of the elements of artificial intelligence (AI).
- Providing a gentle introduction to the fundamentals that enable you to understand what is possible and what is not possible using artificial intelligence.
Outputs of the Artificial Intelligence course:
- Ability to identify and discuss the field of artificial intelligence.
- Acquiring accurate knowledge regarding claims related to artificial intelligence.
- Explanation of fundamental techniques including machine learning and neural networks.
- Understanding the key impacts of artificial intelligence.
- Describing the origins and emergence of artificial intelligence.
- Explaining the relationship between artificial intelligence and automation.
- Thinking about applying artificial intelligence in your specific context.
- Identifying major workplace transformations influenced by artificial intelligence.
- Evaluating the impact of transformations on roles and responsibilities in the workplace.
- Identifying how the relationship between artificial intelligence and humans has changed.
- Identifying future skills required for working and interacting with artificial intelligence.
- Developing an action plan to adapt your skills for the future.
