This paper presents research and analysis based on different learning styles, approaches and strategies for personalization of e-learning through AI technologies. The general framework in the development of this report follows the line of exploring the necessary set of procedures, approaches and techniques to provide the learners with appropriate tools for effective learning. They allow learners to progress according to their capabilities, and to choose the type and delivery method of the digital learning materials and resources based on their preferences, needs, interests and learning style. The suggested general personalization approach with inclusion of AI technology is appropriate and relevant for the purpose of personalizing learning materials to the learning style and competency level of learners. Including different learning styles according to preferred mode of perception (visual, auditory, kinesthetic), learning styles corresponding to collaborative skills (individual, collaborative, competitive) and levels of competence (beginner, intermediate, advanced) provides a detailed and personalized approach to learning.