برمجة الذكاء الاصطناعي

This course is designed to cover the fundamental concepts of programming in Python for AI and Data Science. Students will explore core Python concepts such as variables, expressions, loops, conditions, lists, strings, functions, and file I/O. The course also covers Object-Oriented Programming (OOP) principles, including classes, modules, and packages.With a specific focus on AI and Data Science, students will learn essential techniques and libraries. They will gain proficiency in using the NumPy library for numerical computing and data manipulation, as well as the Pandas library for comprehensive data analysis. Data visualization techniques will also be covered to effectively communicate insights derived from data. Throughout the course, students will engage in programming exercises to develop algorithmic thinking and debugging skills. These exercises will prepare students to tackle real-world AI and Data Science problems. By the end of the course, students will have a strong foundation in Python programming for AI and Data Science.