This research paper will bring forth the innovative pedagogical approach in computer science education, which uses a combination of methodologies borrowed from Artificial Intelligence (AI) and DevOps to enhance the learning experience in Content Management Systems (CMS) Development. It has been done over three academic years, comparing the traditional way of teaching with the lately introduced AI-supported techniques. This had three structured sprints, each one of them covering the major parts of the sprint: object-oriented PHP, theme development, and plugin development. In each sprint, the student deals with part of the theoretical content and part of the practical task, using ChatGPT as an auxiliary tool. In that sprint, the model will provide solutions in code debugging and extensions of complex problems. The course includes practical examples like code replication with PHP, functionality expansion of the CMS, even development of custom plugins, and themes. The course practice includes versions' control with Git repositories. Efficiency will touch the theme and plugin output rates during development and mobile/web application development. Comparative analysis indicates that there is a marked increase in efficiency and shows effectiveness with the proposed AI- and DevOps-supported methodology. The study is very informative since education in computer science and its landscape change embodies an emerging technology that could have transformation impacts on amplifying the potential for scalable and adaptive learning approaches.

The pandemic accelerated the use of AI-powered technologies and may have hastened the arrival of Industry 5.0, which places a strong emphasis on personalization. Big data and AI has the potential to transform education and are referred to as Education 4.0 AI, along with big data, blockchain, augmented reality, and the Internet of Things (IoT), has been credited with ushering in the Fourth Industrial Revolution, or Industry 4.0. The pandemic accelerated the use of AI-powered technologies and may have hastened the arrival of Industry 5.0, which places a strong emphasis on personalization. Big data and AI has the potential to transform education and are referred to as Education 4.0. The Indian EdTech market has expanded significantly and is expected to reach $10.4 billion by 2025.

In September, UNESCO released a report that highlighted the need for India to leverage Artificial Intelligence (AI). The stark digital divide in India however has prompted many experts to express doubts if AI can really solve the problems of access and equity. While there may be some truth in the apprehensions, perhaps a deeper issue is whether the EdTech sector has even tried to leverage AI to address the needs of India beyond the "upper middle class". Post pandemic India is ready for innovations that can address this gap and drive the EdTech industry forward. Since its emergence in the mid-1950s, AI has grown considerably. Along with big data, blockchain, augmented reality and the Internet of Things (IoT), AI has been hailed for ushering in the Fourth Industrial Revolution or Industry 4.0.

Individuals and societies face motivating, inspiring and potentially broad difficulties as a result of digitization and virtualization in education. Artificial intelligence and machine learning in education will be important drivers of growth and innovation, just like they have been in all industries. Individuals should be able to build more comprehensive expertise, knowledge and abilities, as well as release their innovative potential, using smart and intelligent educational methods and resources. While AI-powered solutions have been around for a while in the EdTech field, the industry has been sluggish to embrace them. On the other side, the pandemic drastically altered the landscape, forcing instructors to rely on technology for virtual instruction.

Artificial intelligence and machine learning in education will be important drivers of growth and innovation, just like they have been in all industries. Individuals should be able to build more comprehensive expertise, knowledge and abilities, as well as release their innovative potential, using smart and intelligent educational methods and resources. While AI-powered solutions have been around for a while in the EdTech field, the industry has been sluggish to embrace them. On the other side, the pandemic drastically altered the landscape, forcing instructors to rely on technology for virtual instruction. AI has the potential to improve both learning and teaching, assisting the educational industry in evolving to benefit both students and teachers.

From the dawn of industry 250 years ago, formal education has remained essentially static, largely fossilised. In lecture halls around the globe, students still gaze not-so-fondly at the instructor delivering content that they're expected to memorise--and cramming is tested and rewarded. The future of work conversation is inherently a future of education conversation. If the hallmark of 20th-century learning was access to a college education, the third decade of the 21st century requires frameworks that digitally support lifelong learning--and then re-learning. Many of the jobs in the future workforce have not quite been imagined yet.

The world is now at a crucial point in technology evolution. The future depends on its deployment across all industries today, including in higher education. Artificial Intelligence-based technologies are thought to promote rather than hinder democratic values including freedom, equality, and transparency. AI-based technologies can become a tool to promote equity and personalized learning. For the past 20 years, Artificial Intelligence (AI) has made some advances in higher education, but not enough.