With the development of information and communication and media technology, the production and consumption of data are increasing significantly, and the importance of artificial intelligence to solve various problems using data is increasing. Even though it has an intrinsic nature of dependency on mathematical knowledge or coding,  this course is designed to easily understand artificial intelligence and explore its potential in its own field without knowing how. First, we start with the concept of intelligence and learn the types and limitations of various AI algorithms. Based on this theoretical background, the structure and operation of the most frequently used neural network theory and the three representative networks, the forward network, the convolutional neural network, and the recurrent neural network are to be taught in detail. In addition, principles and implementation of  deep learning applied to various technical problems such as object recognition, speech recognition, automatic translation, style transfer, and etc will be learned.