Deep Learning

I completed introductory coursework in deep learning that provided a foundational understanding of modern artificial intelligence systems. Through this work, I studied core concepts including neural networks, convolutional architectures, language models, and the underlying mathematics that drive learning and inference.

In parallel, I took a course titled AI in Fact and Fiction, which explored artificial intelligence from a broader social, ethical, and historical perspective. The course examined how AI has evolved over recent years, how it is currently applied across industries, and how regulation may shape its future development.

Together, these courses helped me develop both technical literacy and critical awareness, giving me a balanced understanding of how AI systems work and how they impact society.