This course offers a comprehensive introduction to artificial intelligence (AI) and machine learning (ML) for beginners. Topics include the fundamentals of AI and ML, supervised, unsupervised, and reinforcement learning, as well as neural networks and deep learning. Students will learn essential techniques in data preprocessing, feature engineering, and the tools and libraries commonly used in machine learning. The course also covers model deployment and addresses the ethical considerations and future trends in AI and ML. Ideal for those looking to start their journey into the exciting world of AI and machine learning.