Explore the dynamic intersection of Artificial Intelligence (AI) and Data Science in this comprehensive course. Designed for beginners, this course delves into the fundamental principles, techniques, and applications of AI and data science. From understanding the basics of machine learning algorithms to harnessing the power of big data analytics, students will gain practical skills to analyze complex datasets, extract valuable insights, and develop AI-driven solutions. Topics covered include data preprocessing, statistical analysis, predictive modeling, deep learning, natural language processing, and more. Through hands-on projects and real-world case studies, participants will sharpen their programming abilities using popular languages like Python and R while mastering essential tools and libraries such as TensorFlow, scikit-learn, and pandas. By the end of the course, students will be equipped with the knowledge and expertise to embark on exciting careers or further studies in AI and Data Science.