Certification
Top Performers:Stand out in SHIVA 2024 and secure a placement with a package of ₹6 Lakh per annum. Your skils could be your ticket ot a high-paying career in AI/ML.
Sponsored Internship at IIIT Allahabad: NCode Sutram is sponsoring a free internship and stay at IIIT Allahabad for SHIVA 2024 participants. Immerse yourselff in cutting-edge research and work alongside leading experts in coumputer vision.
Deep architectures are at the forefront of machine learning advancements, viewed as the future of technology. Researchers foresee a profound paradigm shift in artificial intelligence driven by these developments. This research domain is especially vibrant, focusing on signal processing, image analysis, computer vision, and biometrics. It includes both supervised and unsupervised methods for object detection, recognition, classification, and synthesis.
The proposed three-week summer internship program is tailored for engineering students from any discipline, whether at the graduate level or beyond. This intensive course aims to deepen their understanding of machine learning and deep learning concepts, with a strong emphasis on hands-on experience. Participants will engage in approximately 30 hours of sessions, including practical demonstrations.
While specifically designed for graduate and postgraduate engineering students, this program is also open to anyone interested in applying artificial intelligence to image processing. Ideal for PG and PhD students, as well as young professionals, the course focuses on advanced AI, ML, and DL methods to address real-life research problems in signal processing, image analysis, computer vision, and biometrics. Participants will gain a comprehensive understanding of machine learning fundamentals, deep neural networks, and other models, equipping them to tackle practical challenges with state-of-the-art technology.
Fostering Deep Learning Awareness: Promote understanding and appreciation of deep learning architectures.
Enhancing Technical Proficiency in Signal, Image, and Vision Processing: Empower participants with advanced skills in deep architectures for signal, image, and vision processing.
Cultivating Collaborative Communities: Build networks among research students, educators, researchers, and industry professionals in emerging research and development fields.
Facilitating Hands-on Learning Experiences: Provide interactive tutorial sessions where participants can actively apply and experiment with advanced concepts and methodologies.
Basics of Machine Learning
Basics of Deep Learning.
Applications to Signal, Image and Video Processing
Other Issues and Applications of Deep Learning
Shri Devi Chand Memorial Charitable Society embarked upon the noble cause of providing higher education in field of Engineering & Management and thus started LDC Institute of Technical Studies in the year 2007.
The institute features a perfect blend of four basic ingredients of contemporary education system viz. Infrastructure, Faculty, Students and Curriculum. The campus comprises of Hostels, Workshop, Academic Block and Administrative Block and well ventilated and aesthetically designed spacious class rooms with all the supportive technical aids.
LDC Institute of Technical Students has an impressive Wi-Fi campus situated in a self-owned 30 Acres collage area. The institute is located on Allahabad Pratapgarh Highway, 10 Km Prior to Allahabad. The Institute has not only succeeded in providing aspirants with professional education of the high standard but also placing them in reputed companies and organizations.
The Academic infrastructure embodies the mission of "Making Knowledge Work" which is achieved through experimental learning, national & international exposures, Latest audio-visual facilities, state-of-art Computer Centre, advanced multimedia training methodology & Co-curricular activities like educational club, cultural society and students' council. The academic infrastructure at LDC Institute of Technical Students strives to impart a strong, indigenous system of technical & management education which is holistic in nature, closer to our cultural heritage and relevant to our contemporary needs and national priorities.