At the present time, with the expansion of the fields of learning and knowledge, the need to raise the educational level and develop the skills and capabilities of both employees and students through training sessions has been increased .Therefore, it may face difficulties for the users to find the suitable sessions, and to overcome these difficulties this study works to save time and effort of The user by using the recommendations system and linking it to training sessions. The recommendations system for this study will use the Content-Based filtering technique by cosine similarity to suggest the best appropriate courses based on the user’s skills. This system will suggest personals recommendation for training sessions based on the users preferences.To achieve that the training sessions of Doroob platform has been used to implement the system of this study and sequence matrix to test the accuracy, and the proposed system can provide recommendations with a precision 0.94 which provides the user with highly accurate suggestions.