About
This comprehensive training program is designed to provide students with a strong foundation in Python programming, artificial intelligence, machine learning, deep learning, and natural language processing through a progressive semester-based approach. The course combines theoretical understanding with extensive hands-on practice using industry-standard tools and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, Keras, OpenCV, and Streamlit. Students work on real-world datasets, predictive models, computer vision applications, recommendation systems, and NLP-based solutions while participating in project-based hackathons each semester. By the end of the program, learners gain the practical skills required to build, evaluate, and deploy AI-powered applications for real-world problem solving.