At Khwopa College of Engineering, students are continuously exposed to real-world applications of cutting-edge technologies. In collaboration with the Center for Capacity Building (CECAB), the institution recently conducted four extensive training programs, equipping students with practical skills in Deep Learning and Backend Development. These programs, tailored for different academic levels, aimed to bridge the gap between theoretical knowledge and practical implementation.

One of the flagship programs, "Deep Learning in Python – Phase Two," was designed for the eighth-semester students of the BCT 2077 batch. Led by Machine Learning Engineer Er. Niranjan Bekoju, the course covered crucial topics such as Object Detection using YOLO, Image Segmentation with UNet, Generative Adversarial Networks (GANs), and advanced Natural Language Processing (NLP) models, including Transformers and BERT. Over five months, students engaged in hands-on projects such as Image Segmentation and Machine Translation, gaining valuable insights into solving real-world deep learning challenges. Thirteen students completed the training, enhancing their ability to develop and deploy AI-driven applications.

Similarly, the "Deep Learning in Computer Vision" training targeted sixth-semester students from the BCT 2078 batch. This program provided a deep dive into Computer Vision fundamentals, covering image processing, feature detection, convolutional neural networks (CNNs), and object detection techniques like RCNN and YOLO. The curriculum also included practical applications such as Image Classification and Facial Key Point Detection. Eighteen students participated in the training, developing expertise in designing and implementing AI-powered vision systems.

In addition to deep learning, students were also introduced to backend development through specialized Node.js training programs. The "Backend Software Development with Node.js" course for fourth-semester students of the BCT 2079 batch was conducted by Er. Rohit Prajapati. It covered essential backend technologies such as Node.js, Express.js, asynchronous programming, database management with MongoDB and PostgreSQL, authentication using JWT and OAuth 2.0, and real-time communication with WebSockets. Students also worked on capstone projects that required them to develop and deploy complete web applications. A total of 26 students benefited from this training, gaining proficiency in backend development.

For third-semester students of the BCT 2080 batch, another "Backend Software Development with Node.js" program was led by Er. Sunil Banmala. The training provided fundamental knowledge of Node.js, API development with Express.js, middleware implementation, database management using Prisma, and real-time communication with Socket.io. Students worked on full-stack web development projects, honing their skills in version control and collaborative development. With 25 students successfully completing the course, the program helped lay a strong foundation in modern web application development.

These training programs at Khwopa College of Engineering have significantly contributed to students' skill development, preparing them for industry-level roles. As the institution continues integrating practical learning with academic coursework, future training programs, and workshops are expected to further enhance students’ technical capabilities. With a strong focus on innovation and hands-on experience, Khwopa College of Engineering remains dedicated to shaping the next generation of tech professionals.