This course introduces students to the application of machine learning techniques in modern communication systems. Topics include supervised and unsupervised learning, neural networks, reinforcement learning, and explainable AI, with a focus on problems such as traffic classification, channel estimation, resource management, and anomaly detection. Students will also explore ML-based network layer optimizations in wireless systems, including 5G/6G. Hands-on assignments and projects using real-world communication datasets and open-source simulation tools will reinforce the concepts.