• Overview of AI and its importance
• History of AI and its evolution
• Basic concepts and applications of AI

• Understanding machine learning and its types
• Introduction to supervised learning
• Introduction to unsupervised learning

• Basics of Python programming language
• Data manipulation and analysis using Pandas library
• Introduction to NumPy for numerical computing

• Real-world applications of AI in various industries
• Overview of AI ethics and bias
• Capstone project: Applying AI concepts to solve a simple problem

• Each week could consist of video lectures, reading materials, and quizzes.
• The syllabus focuses on providing a basic understanding of AI concepts and practical applications within a one-month timeframe.