Artificial Intelligence and Machine Learning

The Artificial Intelligence and Machine Learning course provides a practical introduction to modern AI concepts and machine learning techniques. It helps participants understand how machines learn from data, identify patterns, and support intelligent decision-making. The course covers fundamental AI concepts, machine learning workflows, and commonly used learning algorithms. Participants learn about supervised, unsupervised, and basic reinforcement learning approaches. It introduces data preparation, feature selection, model training, testing, and model performance evaluation. The course explains regression, classification, clustering, and prediction techniques with practical applications. Participants gain an understanding of neural networks and their role in developing intelligent systems. It introduces Python-based tools and libraries commonly used for AI and machine learning applications. The course highlights real-world applications of AI in engineering, manufacturing, business, automation, and other industries. By the end of the course, participants can understand AI/ML workflows and apply fundamental concepts to practical data-driven problems.