NextVision Infotech presents a comprehensive Artificial Intelligence & Machine 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 AI and ML. The program covers the complete AI/ML lifecycle from data collection to model deployment. Students will learn Python programming, data preprocessing, exploratory data analysis, supervised learning, unsupervised learning, deep learning, neural networks, natural language processing, computer vision, and model deployment. Over six weeks, the program progresses from fundamentals to advanced AI/ML development. Week 1 introduces Python and data science fundamentals. Week 2 covers data preprocessing and exploratory data analysis. Week 3 focuses on supervised learning algorithms. Week 4 covers unsupervised learning and deep learning. Week 5 is dedicated to NLP, computer vision, and live AI projects. Week 6 covers model deployment, MLOps, and certification. The program follows industry-standard workflows used by professional data scientists and AI engineers across India. Students work on real-world projects including predictive models, recommendation systems, image classification, and sentiment analysis. The curriculum draws inspiration from premier technical institutions across India and follows professional AI/ML standards used in the tech industry. Students gain practical skills that prepare them for careers in data science, machine learning engineering, 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 Python for data science, building ML models, implementing deep learning, deploying AI applications, and creating a professional portfolio.