ZeroToMastery – Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More)
Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More). This course explores the mathematics behind transformer models, attention mechanisms, and other advanced AI concepts. In this course, you’ll uncover the secrets behind transformers like GPT and BERT. Learn tokenization, attention mechanisms, situational encodings, and embeddings to build and innovate with advanced AI. Master machine learning and become a world-class AI expert. Transformer architecture is a fundamental model in modern AI, especially in natural language processing (NLP). What makes transformers special is that instead of reading word by word like older systems (called recurrent models), transformers examine entire sentences at once.

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What You'll Master in this Course
Course Curriculum32 Lectures
1 sections • 5.3 hours total length
Requirements
- Familiarity with basic linear algebra strongly recommended
Description
Instructor
Patrik Szepesi
Specialist in AI, Machine Learning & Data Science
Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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