Int. J. Advanced Networking and Applications Volume: 17 Issue: 01 Pages: 6736-6744 (2025) ISSN: 0975-0290 6736 Design and Evaluation of an Ai-Enhanced Web Development Education Platform Using GrapesJS and Aws Services Dr. Jitendra Agrawal Department of Computer Application, Lakshmi Narain College of Technology (MCA), Bhopal, India-462022 Email : agrawaljitendra22@gmail.com Dr. Virendra Kumar Tiwari Department of Computer Application, Lakshmi Narain College of Technology (MCA), Bhopal, India-462022 Email : virugama@gmail.com Dr. Sanjay Thakur Department of Computer Science and Engineering, Chameli Devi Group of Institutions, Indore, INDIA Email: drsanjay2009@rediffmail.com ----------------------------------------------------------------------ABSTRACT-------------------------------------------------------------- The evolution of educational technologies has driven the need for personalized and scalable platforms in web development training. This study presents the integration of GrapesJS, a visual web builder, with Amazon Web Services (AWS), enhanced by AI-powered personalization through AWS SageMaker. The goal is to deliver adaptive, engaging, and efficient learning experiences. The paper details the system architecture, implementation strategy, and comparative analysis of student engagement and learning outcomes in AI-personalized versus traditional environments. Findings show that the AI-enhanced platform significantly improves learner motivation, task completion rates, and comprehension, thereby validating the approach for broader educational deployment. Keywords – GrapesJS, AWS, AI Personalization, Web Development, Cloud Computing, Educational Platforms, SageMaker. ---------------------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: May 25, 2025 Date of Acceptance: June 20, 2025 ---------------------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION In the evolving landscape of education, the integration of cutting-edge technologies has become critical to meet the dynamic needs of modern learners. Traditional web development training often relies on static teaching methodologies that are unable to adapt to the individual learning pace, preferences, and prior knowledge of students. Such approaches limit engagement, reduce learner satisfaction, and hinder overall academic success. With the rise of cloud computing and open-source development tools, new opportunities have emerged to redefine educational practices. GrapesJS, an open-source, drag-and-drop visual editor, offers an intuitive interface that simplifies the creation of web pages without extensive coding knowledge. It has shown great promise in enhancing the accessibility of web development education for beginners. However, by itself, it lacks mechanisms to tailor the learning experience to each student’s specific needs. Amazon Web Services (AWS) offers a robust cloud infrastructure capable of hosting scalable, reliable, and secure educational platforms. Furthermore, the integration of AWS SageMaker enables the development of machine learning models that can personalize learning paths based on user interaction data. Combining these technologies provides an opportunity to create adaptive learning environments that not only facilitate technical skill acquisition but also maintain high levels of learner engagement and motivation. The Impact of Cloud Computing on Education The adoption of cloud computing in education has been driven by the need for scalable, cost effective solutions that can be easily accessed by students and educators alike. AWS has been at the forefront of this transformation, providing a wide array of services that support everything from data storage to machine learning. Studies have shown that cloud based educational platforms can significantly enhance the learning experience by offering real time collaboration, instant feedback, and the ability to handle largescale deployments.