Build a Deep Mathematical Understanding of Modern LLMs — Without Writing a Single Line of Code. Large Language Models are transforming the future of AI, but understanding why they work is far more valuable than simply learning how to use them. This course is designed to help you master the mathematical foundations and architectural principles behind Transformer-based models without requiring any programming experience.
Rather than focusing on coding frameworks or implementation details, you’ll develop the conceptual thinking needed to understand how modern language models process information, scale efficiently, and make intelligent predictions. Whether you’re an AI professional, researcher, student, or technology leader, this course provides the theoretical foundation required to confidently understand and discuss modern LLM architectures.
