Introduction: Artificial intelligence has an impact on the roles of senior management by increasing their creativity and strategic thinking (Ronquillo et al., 2021). Artificial intelligence has many applications in healthcare, including assisting in disease assessment, diagnosis, and solving various clinical problems, reducing lost data, enhancing good nursing communication skills, improving inpatient care management, diminish nurse workload, and improving patient safety (Zhou et al.,2022). As well, Liu et al. (2022), clarified that nursing intervention can advantage from AI-based medical information processing. Artificial intelligence technologies have the ability to advance nursing practice and make it possible for medical surgical nurses to give their patients more individualized, evidence - based care through enhancing medical surgical nurses' professional identity and supporting in solving the problems. To achieve a competitive advantage in the labor market, there is a need to radical change to digitalize healthcare sectors. From this point, artificial intelligence has succeeded to grasp the attention of key healthcare top managers and providers who are currently experiencing a dilemma of whether or not to fully or partially integrate it into their work (Elsayed & Sleem, 2021). The advancement of artificial intelligence technology to additional adoption and value across health care is perpetuated by cost, quality, care outcomes, and helps to analyze large amounts of data efficiently. However, few studies have investigated nurses’ educational intervention regarding artificial intelligence technology (Shaik, 2020). 1.2. Aim of the study This study aimed to evaluate the effect of educational program on nurses’ knowledge and attitudes regarding artificial intelligence. This was achieved through the following objectives: 1. Assess the nurses' knowledge levels about artificial intelligence. 2. Identify the nurses' attitudes towards artificial intelligence technologies. 3. Plan, implement, and evaluate the effect of educational intervention on improving nurses' knowledge, and attitudes about artificial intelligence. 1.3. Research hypotheses:  H1. Applied artificial intelligence educational program has an effect on nurses' knowledge levels towards artificial intelligence technologies.  H2. Applied artificial intelligence educational program has an effect on nurses' attitudes' levels towards artificial intelligence technologies. 2. Subjects and Methods 2.1 Research design: This research used a quasi-experimental design (a pre- and post-intervention study) to evaluate the effect of the educational program. 2.2 Setting: This study was carried out at all medical and surgical departments in Mansoura University Hospitals 2.3 Subjects: The study subjects included two hundred and three (203) nurses of a simple random sample of nurses in the study settings (medical departments 85 from 119 nurses, and 118 nurses from 149 of surgical departments. 2.5 Study tools: Data were collected using two study tools: A self-administered Artificial Intelligence Knowledge Questionnaire, and the General Attitudes towards Artificial Intelligence (AI) Scale.  Tool (I): A self-administered Artificial Intelligence Knowledge Questionnaire. The researchers developed this questionnaire to assess nurses' knowledge of artificial intelligence. It includes two sections as follows: • Part I: Covered nurses' demographic characteristics as: age, gender, marital status, educational level, and years of professional experience. As well, this part asks about the name of the department, having previously dealt with artificial intelligence, and the source of knowledge of artificial intelligence. • Part II: Included artificial intelligence knowledge, developed by the research team after reviewing relevant literature and guided by Lennartz et al., (2021); and Shimon et al., 2021), to assess the artificial intelligence knowledge levels of nurses pre and post sessions. The questions were divided into 12 categories: Definition of artificial intelligence in the nursing field (2 marks), how artificial intelligence works (2 marks), importance (2 marks), advantages (6 marks), disadvantages (6 marks), types of artificial intelligence (4 marks), Basic Components of AI (5 marks), barriers (5 marks), principles (6 marks), applications (examples of artificial intelligence that can help the medical and surgical nurse, and examples of artificial intelligence in the nursing field (10 marks). Additionally, this part is asking about problems of artificial intelligence in the nursing field (10 marks), and principles (5 marks). Results: In the present study the primary sources of information for nurses’ knowledge about AI were from internet, followed by TV. This might be due to that the internet is an invaluable resource for knowledge and learning. Its vastness, accessibility, timeliness, diversity of perspectives, and ability to connect with others make it a valuable tool for anyone seeking to expand their knowledge and understanding of the world around them. These finding supported with those of Robinson (2020), in Nigeria, who mentioned that the internet has been the main source (89.32%). These results contrast with those of Abuzaid et al (2022) in Sharjah, Sharjah, USA, who found that 51% of respondents stated their knowledge on AI was obtained through self-taught measures for most of the participants, while 20% of them gained it through various courses. Only 8% stated they learned through postgraduate courses. Conclusion: This study results revealed that the educational intervention had highly statistically significant positive effects on the studied nurses’ knowledge, and attitudes regarding artificial intelligence. Recommendations: It is recommended to encourage nurses to increase their knowledge towards artificial intelligence through workshops and training programs. Appropriate information is needed about the benefits, barriers, and issues surrounding the implementation of artificial intelligence in nursing settings and the potentials of these technologies to improve health care processes and efficiencies. Participation and support of hospital policy from the beginning of the implementation of the artificial intelligence system are required. As well, providing further education and training are required to enable a seamless and safe integration of AI into nursing practice.