Learn Artificial Intelligence
Course Description & Objectives
Recently almost any intelligent human being is trying to understand what Artificial Intelligence (AI) is. Original images of AI from the movies have been gradually replaced by fear of losing jobs and being kicked out by the robots. Businesses are also concerned with the fast speed of AI invasion and the need to integrate it into their processes. As a result, there is a growing demand for learning the basics of AI. The first step in this learning focused on a broad audience, doesn’t require any knowledge of the participants beyond high school level (except the English language). The key objective is to understand in plain English without math and programming skills the nature of AI and the principles of its critical technologies. The proposed course will help them achieve this objective in 12 recorded lectures and six Q&A sessions.
The course will give the participants the needed understanding of the technical basis of AI. It includes awareness about the fundamental principles of the most critical methods, such as machine learning (with emphasis on neural networks and Support Vector Machines or SVM), deep learning, decision trees, and random forest, evolutionary computation, swarm intelligence, intelligent agents, and chatbots, and model ensembles. Another critical piece of knowledge that will be shared is the capability and applicability analysis of each AI method. That will help the participants understand the technical nature of AI and be encouraged to look for opportunities where to apply the technology. Most of the methods will be illustrated with appropriate software demos. The course, however, does not offer a detailed description of the methods and programming. It is expected that those participants who are interested in continuing deeper in the AI technology will take other appropriate courses.
This unique course is prepared by a leading international expert in applied AI based on his experience from introducing AI and training employees in several large US companies. The course is based on his book “Applying Data Science: How to Create Value with Artificial Intelligence,” recently published by Springer. (https://www.amazon.com/Applying-Data-Science-Artificial-Intelligence-dp-3030363740/dp/3030363740/ref=mt_other?_encoding=UTF8&me=&qid= ) This offers an advantage the participants will not find anywhere else.
There are no special technical or programming requirements for participants to take this course.