Conducting research can significantly help in aligning the development of products and services with market demands. And it is also important in stimulating the creation of new innovations in business. But in the era before Generative AI, research work that required studying, gathering data, and then managing and analyzing it could be quite complex and time-consuming. However, the emergence of Generative AI has made learning and research much faster. Generative AI also assists in data analysis and helps in designing research or planning work efficiently. So, it is undeniable that learning about the use of Generative AI to assist in research is an important thing that must be learned. 

What you will learn:
- Introduction to prompt engineering with ChatGPT
- Generative AI & Other AI Tools for Research

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

Recommended prior course:
- Research Methodology in Applied Artificial Intelligence

Course type:
This is a core course (C) 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 40% of the grade, 2) Final Exam, which accounts for 60% 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:
Assoc. Prof. Dr. Warut Pannakkong
Currently, Dr. Warut holds a teaching position at School of Manufacturing System and Mechanical Engineering of the Sirindhorn International Institute of Technology, Thammasat University. He has academic expertise in various fields including Artificial intelligence in industrial applications, Time series forecasting, Computer vision for industry, Data mining, Machine learning, Production planning and optimization, Discrete-event systems simulation, Vehicle routing and scheduling, Logistics and supply chain management.

Dr. Warut completed his Bachelor’s degree in Industrial Engineering (1st Class Honors) from Sirindhorn International Institute of Technology (SIIT), Thammasat University, Master’s degree in Logistics and Supply Chain Systems Engineering from Sirindhorn International Institute of Technology (SIIT), Thammasat University and PhD in Knowledge Science, Japan Advanced Institute of Science and Technology, Japan.

Dr. Nuttapong Sanglerdsinlapachai
Currently, Dr. Nuttapong is a researcher in Strategic Analytics Networks with Machine Learning and AI Research Team (SAI) at the National Electronics and Computer Technology Center (NECTEC). He has academic expertise in various fields including Text Analytics, Data Analytics, and Data Mining.

Dr. Nuttapong completed his Bachelor’s degree in Computer Engineering, Chulalongkorn University, Master’s degree in Computer Engineering, Kasetsart University, Ph.D. in Knowledge Science, Japan Advanced Institute of Science and Technology (JAIST), Japan, and Ph.D. in Engineering & Technology, Sirindhorn International Institute of Technology (SIIT), Thammasat University.