To become a developer who can efficiently create and improve machine learning and deep learning models that are easy to use, it is necessary to learn advanced programming skills. This includes building models for AI and Machine Learning using Python with the Scikit-Learn library, starting from data preparation, model creation, training, and performance evaluation, to parameter tuning and selecting the best model for the given data.

What you will learn:
- Deep Neural Network
- Convolution Neural Network
- By using TensorFlow and Keras

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

Recommended prior course:
- Basic Programming with Python for 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. Cholwich Nattee
Currently, Dr. Cholwich holds a teaching position at the School of Information, Computer, and Communication Technology (ICT), Sirindhorn International Institute of Technology, Thammasat University. He has academic expertise in various fields including Artificial intelligence, Machine learning, Knowledge discovery and data mining, Artificial intelligence applications in distance learning, and Pattern recognition.

Dr. Cholwich completed his Bachelor’s degree in Computer Engineering, Chulalongkorn University, Master’s degree in Computer Science, Tokyo Institute of Technology, Japan, and Ph.D. in Computer Science, Tokyo Institute of Technology, Japan.