Introduction to Artificial Intelligence: AI for beginners

What you'll learn

Learn about the History of AI
Learn about 4 types of Artificial Intelligence systems
Know what are the characteristics of Artificial Intelligence
Discover the future possiblities of AI technology
Discover 3 Paradigms of AI: Fuzzy Logic, Neural Networks and Genetic Algorithms
Know about conventional and computational types of AI

Requirements

Basic Math Knowledge
Being Familiar with Computer Science

Description

Hi and welcome to the introduction to artificial intelligence course. In this course we will talk about the past, present and the future of AI. This course covers all the introductory topics to AI to get you started on the path of becoming AI specialist. You will learn about main philosophy, history and approaches of AI as well as its applications.

Learn the Fundamental Consents of Artificial Intelligence and become ready to master the Field of AI

Learn about the history and founding fathers of AI
Learn about 4 types of AI and 3 main domains of AI technology
Get familiar with the main fields of AI research and applications of artificial intelligence
Learn about the basics of Neural Networks, Fuzzy Logic and Genetic Algorithms
Learn the basics of Case-Based Reasoning, Bayesian networks and Behavior Based approaches
Know the main advantages and disadvantages associated with artificial intelligence
Learn about the future possibilities and tangible projects with artificial intelligence

Learn the fundamentals of AI

In this course we will talk about all that you need to know to get started in the field of AI. You will get familiar with the main approaches and research fields of artificial intelligence. You will know the advantages and disadvantages of AI as well as its possible applications in the future.

The course is split into 5 main sections starting from the history of AI. In this section we cover the basics and the history, next we will go into the present day applications of AI followed by the topics on the main categories and methods of AI. Lastly we will speak about cons and pros as well as the future of AI technology.

Who this course is for:

Students studying Computer Science
Students studying Computer Engineering
Students studying Mathematics
People interested in Technology
People interested in Science
People interested in Programming
Professionals in STEM fields
Programmers