What is the difference between AI courses, Machine Learning courses, and Deep Learning courses?

AI, Machine Learning, and Deep Learning courses differ in scope and technical depth. AI courses focus on building intelligent systems, covering logic, problem-solving, rule-based systems, and an overview of modern AI applications. Machine Learning courses go deeper into data-driven models, teaching algorithms like regression, classification, clustering, and model evaluation using real datasets. Deep Learning courses are a specialized subset of ML, emphasizing neural networks, backpropagation, CNNs, RNNs, and transformers for complex tasks such as image recognition, speech processing, and large language models. Together, they form a learning progression from broad concepts to advanced model design.