This course introduces participants to the principles and applications of artificial intelligence and machine learning. It covers foundational topics such as supervised and unsupervised learning, neural networks, natural language processing, and predictive analytics. Learners will gain hands-on experience with Python-based frameworks and tools to analyze data, build machine learning models, and implement intelligent solutions for practical challenges. By the end of the program, participants will be able to develop AI solutions, interpret model results, and apply machine learning techniques across various industries.