Foundations of generative AI and machine learning for engineering applications. Topics include neural networks, large language models, prompt engineering, fine-tuning, and multimodal AI. Students gain hands-on experience applying AI tools to engineering problem-solving, data analysis, and design. Emphasis on ethical use, critical evaluation, and discipline-specific capstone projects. Open to all engineering disciplines at the undergraduate and graduate level.