This course provides an overview of artificial intelligence (AI), including problem-solving techniques, search algorithms, and knowledge representation. It covers machine learning fundamentals, deep learning, and neural networks, as well as natural language processing (NLP) and computer vision. The course explores reinforcement learning, AI in robotics, and concludes with discussions on the ethical implications and potential biases in AI systems.