Imagine walking into a restaurant and being greeted by a friendly robot that serves your meal, or scrolling through an app that magically knows what movie or song you’ll love next. Have you ever spoken into your phone and watched your words instantly transform into text? These futuristic experiences aren’t just Sci-Fi—they’re powered by something called Deep learning. Deep learning is behind the magic of systems that learn, adapt, and make our daily lives more convenient. It takes traditional machine learning and supercharges it, enabling breakthroughs that drive the tech we use every day. Whether you're looking to boost business efficiency or simply curious about the forces behind these innovations, diving into deep learning opens the door to a world of endless possibilities.

What you will learn:
- Basic Neural Network
- Gradient Vanishing
- Object detection
- Large Language Models
- Generative AI

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

Recommended prior course:
- Computational Mathematics: Discrete Mathematics
- Computational Mathematics: Probability
- Computational Mathematics: Linear Algebra
- Applications of Artificial Intelligence: Theories and Innovations
- Basic Programming with Python for Artificial Intelligence
- Advanced Programming with Python Libraries for Artificial

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 60% of the grade, 2) Final Exam, which accounts for 40% 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:
Dr. Sanparith Marukatat
Currently, Dr. Sanparith is a head of Image Processing and Understanding Team, National Electronics and Computer Technology Center (NECTEC). He has academic expertise in various fields including Computer Vision, Machine Learning, Information Retrieval, Image Processing, Signal Processing, and Speech/Pattern Recognition.

Dr. Sanparith completed his Bachelor’s degree in Computer Science, Franche-Comte University, Master’s degree in Computer Science, Franche-Comte University, and Ph.D. in Computer Science, The Paris 6 University.