NextVision Infotech presents a comprehensive Machine Learning & AI Internship - 1 Month Offline Training Program at our Patna center. Machine Learning (ML) aur Artificial Intelligence (AI) ka matlab hai computers ko aisa banana ki wo data se seekh sake aur decisions le sake bina explicit programming ke. Ye program students ko Python, data preprocessing, supervised learning, unsupervised learning, model evaluation, deep learning basics aur deployment ki hands-on practical training deta hai. The program covers the complete ML/AI lifecycle from Python fundamentals to data preprocessing, exploratory data analysis, supervised learning algorithms, unsupervised learning, model evaluation, and a full project. Over four weeks, the program progresses from fundamentals to practical ML/AI. Week 1 covers Python for ML, NumPy, Pandas, and data visualization. Week 2 covers data preprocessing, feature engineering, and supervised learning. Week 3 focuses on unsupervised learning, model evaluation, and hyperparameter tuning. Week 4 covers deep learning basics, live projects, and certification. The program follows industry-standard workflows used by professional ML engineers across India. Students work in our offline lab facility with hands-on access to computers, datasets, ML tools, and direct instructor guidance. 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 machine learning, data science, and AI engineering. This program is delivered 100% offline at our Patna center, providing students with hands-on access to computers, software, datasets, and instructor guidance. 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 ML, data preprocessing, supervised and unsupervised learning, model evaluation, and building ML models.