
Explore the fundamentals of artificial intelligence, including key terminologies, intelligence types, machine learning types, AI history, and real-world applications.
Identify the three AI types: narrow AI for specific tasks, artificial general intelligence with human-like reasoning, and artificial superintelligence surpassing humans, with examples like self-driving cars.
Explore Bayesian networks, also known as belief networks, as directed acyclic graphs that model probabilistic dependencies among random variables, allowing prior knowledge to update beliefs and predict future events.
Celebrate completion and invite learners to explore beginner robotics and artificial intelligence resources on the site, including a robotics kit for ages 6–11 to learn programming, preorder, courses, and workshops.
Do you want to learn Artificial Intelligence? Do you want to know what does AI actually mean?
Well, you are at the right place.
In this course we will give you the knowledge of the fundamentals concepts of the field of Artificial Intelligence. This course is designed specifically for beginners where we will take you step by step through our intuitive curriculum. Please have a look through the concepts and work your way through the quizzes.
If anyone already has the knowledge of the fundamentals, please check through the curriculum to see if you need this course, after all our time is precious. We do not want you to repeat anything. We would highly encourage you to look at the contents menu first and see if you really need to take this course.
What will you learn?
- Definition of Artificial Intelligence
- Application of Artificial Intelligence
- History of Artificial Intelligence
- Definition of Machine Learning
- Types of Machine Learning
- Industry Situation and Opportunities
- What are Expert Systems?
- What is Computer Vision?
- What is Fuzzy Logic System?