Natural Language Processing or NLP is changing how we interact with technology, which is helping machines understand and interpret human language. As AI becomes a part of our daily lives, knowing NLP is key to using this technology effectively. Advanced NLP techniques such as large language models and hyperdimensional computing will help us tackle the complexities of language. These techniques allow us to break down sentences, clarify meanings, and resolve misunderstandings. As a result, this knowledge is essential for creating AI systems that can communicate naturally and clearly.

What you will learn:
- Word embedding models
- Transformer model
- Large language models
- Hyperdimensional computing
- Explainability and interpretability of AI systems

Prerequisites:
This course is designed for everyone. No prior knowledge is required.

Course type:
This is a elective course (E) in the Master of Engineering program in Artificial Intelligence and Internet of Things (International Program) offered by Thammasat University and SkillLane.

Grading Criteria:
This course consists of 1) Quizzes, which account for 30% of the grade, 2) Final Assignment, which accounts for 70% of the grade Grades will be assigned based on the following scheme:

A 90-100
A- 85-89.99
B+ 80-84.99
B 75-79.99
B- 70-74.99
C+ 65-69.99
C 60-64.99
D 50-59.99
F 0-49.99

Instructor Background:
Prachya boonkwan (Phd.)
Currently, Dr. Prachya holds a teaching position at School of Information, Computer, and Communication Technology (ICT) of the Sirindhorn International Institute of Technology, Thammasat University. He has academic expertise in various fields including Natural language processing, Computational linguistics, Machine learning and Deep learning.

Dr. Prachya completed his Bachelor’s degree in Computer Engineering at Kasetsart University, Master’s degree in Computer Engineering at Kasetsart University, and Ph.D. in Informatics at The University of Edinburgh.