Transformer Architecture Explained

Aiorg

About This Course

This course introduces the Transformer architecture, the foundation of modern natural language processing and large language

You will learn how attention mechanisms replace traditional sequence models, understand the core components of Transformers, and explore how they are used in real-world NLP tasks. The course includes conceptual explanations and a practical implementation using PyTorch.

els. You will learn how attention mechanisms replace traditional sequence models, understand the core components of Transformers, and explore how they are used in real-world NLP tasks. The course includes conceptual explanations and a practical implementation using PyTorch.

Requirements

Add information about the skills and knowledge students need to take this course.

Course Staff

Maha Bin Mujalli

Cybersecurity specialist with a strong interest in threat analysis, SOC operations, and AI-driven security solutions. passionate about continuous learning and applying technical knowledge to real-world cybersecurity challenges.

Renad Abdullah

Programmer specializing in software development and database systems, focused on building efficient and well-structured applications.

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Course Summary

Course Number
TRF101
Classes Start
Classes End
Estimated Effort
100 hours
Prerequisites
PNU CS110
You must successfully complete PNU CS110 before you begin this course.