NextVision Infotech presents a comprehensive Deep Learning Internship Training Program spanning 45 days. This intensive program is designed for students across all disciplines - B.Tech, B.E., BCA, MCA, B.Sc., Diploma, and other technical streams - who want to build a strong foundation in deep learning and neural networks. The program covers the complete deep learning lifecycle from neural network fundamentals to advanced architectures and deployment. Students will learn neural networks, backpropagation, CNNs, RNNs, LSTMs, GRUs, transformers, GANs, autoencoders, transfer learning, and model deployment. Over six weeks, the program progresses from fundamentals to advanced deep learning. Week 1 introduces deep learning fundamentals and neural networks. Week 2 covers training neural networks and optimization. Week 3 focuses on convolutional neural networks (CNNs). Week 4 covers recurrent neural networks (RNNs) and sequence models. Week 5 is dedicated to advanced architectures, transfer learning, and live projects. Week 6 covers deployment, documentation, viva, and certification. The program follows industry-standard workflows used by professional deep learning engineers across India. Students work on real-world projects including image classification, object detection, sentiment analysis, and time series forecasting. The curriculum draws inspiration from premier technical institutions across India and follows professional deep learning standards used in the tech industry. Students gain practical skills that prepare them for careers in deep learning, computer vision, NLP, and AI research. This program is delivered both online and offline, allowing students from any state or city across India to enroll and benefit. The institute is ISO 9001:2015 certified, and the internship certificate is accepted by universities, colleges, and companies throughout the country. Upon successful completion, students receive an Internship Certificate, Industrial Training Certificate, Project Completion Certificate, and an Offer Letter. Learning outcomes include mastering neural networks, building deep learning models, applying transfer learning, deploying models, and creating a professional portfolio.