The use of Artificial Intelligence (AI) in eLearning is increasing to design adaptive e-learning content that can be customized for individual learning. This leads to improved learning outcomes as learners interact with content that is relevant to their interests and learning style. The research problem can be formulated in how to benefit from the advantages of artificial intelligence in designing e-learning contents with the aim of identifying these applications and measuring their effectiveness on learners with the aim of raising the quality of education, facilitating the educational process and making it more interactive, as the research follows the descriptive approach in describing information about applications and methods of using artificial intelligence in e learning. This is done by analyzing the learner's data that he entered during the interactive experience according to his trends and educational level and analyzing that data through a number of ways in which intelligence can be used. One of the methods is to use machine learning to track the learner's progress and determine Paths where additional support is needed. The next approach is to use natural language processing (NLP) to analyze learner feedback on the content. In addition, this has developed the role of the teacher, where their role is no longer limited to being a source of information and lecturer, but has become a facilitator and director of the educational process, responsible for designing the instructional design of those learning paths.