EDUCATION

D.Sc. in Engineering Design and Production, Aalto University, School of Engineering, Finland (Full funding)

Former name: Mechanical Engineering, Helsinki University of Technology

M.Sc. in Computer Science, Rangsit University, Thailand

B.Sc. in Computer Science, Huachiew Chalermprakiet University, Thailand

CERTIFICATE

[1] Python 3 Programming Specialization, University of Michigan

[2] Python for Everybody Specialization, University of Michigan

[3] Crash Course on Python, Google

[4] A Crash Course in Data Science, Johns Hopkins University

[5] Convolutional Neural Networks in TensorFlow, Deeplearning.ai

[6] Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, Deeplearning.ai

[7] Python for Cybersecurity Specialization , INFOSEC

• Introduction to Python for Cybersecurity

• Execution, persistence, privilege escalation and evasion

• Credential Access, discovery, lateral movement & collection

• Python for Command-and-control, Exfiltration and Impact

• Python for Active Defense

[8] Robotic Process Automation (RPA) Specialization, UiPath

• RPA Basics and Introduction to UiPath

• Data Manipulation in RPA

• UI Automation and Selectors

• Control Flow in RPA

• Automation Techniques in RPA

• UiPath Orchestrator and Capstone Projects

[9] Introduction to Generative AI Learning Path Specialization, Google Cloud

• Introduction to Generative AI

• Introduction to Large Language Models

• Introduction to Responsible AI

• Responsible AI: Applying AI Principles with Google Cloud

[10] AI Foundations for Everyone Specialization

• Introduction to Artificial Intelligence (AI)

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Building AI Powered Chatbots Without Programming

[11] IBM AI Foundations for Business Specialization, IBM

• Introduction to Artificial Intelligence (AI)

• What is Data Science?

• The AI Ladder: A Framework for Deploying AI in your Enterprise

[12] Generative AI Fundamentals Specialization, IBM

• Generative AI: Foundation Models and Platforms

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Impact, Considerations, and Ethical Issues

• Generative AI: Business Transformation and Career Growth

[13] Generative AI for Cybersecurity Professionals Specialization, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Boost Your Cybersecurity Career

[14] Generative AI for Data Analysts Specialization, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Enhance your Data Analytics Career

[15] Generative AI for Data Scientists Specialization, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Elevate Your Data Science Career

[16] Generative AI for Software Developers Specialization, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Elevate your Software Development Career

[17] Generative AI for Data Engineers, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Elevate your Data Engineering Career

[18] Generative AI for Human Resources (HR) Professionals, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Advance Your Human Resources (HR) Career

[19] Introduction to Data Science Specialization, IBM

• What is Data Science?

• Tools for Data Science

• Data Science Methodology

• Databases and SQL for Data Science with Python

[20] AI For Everyone, Deeplearning.ai

[21] AI for Everyone: Master the Basics, IBM

[22] Machine Learning for All, University of London 

[23] Deep Learning Fundamentals with Keras, IBM

[24] Machine Learning with Python, IBM

[25] Introduction to Data Science, Microsoft

[26] Python for Data Science and AI, IBM

[27] Data Analysis with Python, IBM

[28] Python 101 for Data Science, IBM

[29] Python Project for Data Science, IBM

[30] Data Visualization with Python, IBM

[31] Databases and SQL for Data Science with Python, IBM

[32] Blockchain Basics, University at Buffalo & The State University of New York

[33] Introduction to Data Engineering, IBM

[34] Introduction to Data Analytics, IBM

[35] Linear Algebra for Machine Learning and Data Science, Deeplearning.ai

[36] Introduction to Software Engineering, IBM

[37] Data Scientist Career Guide and Interview Preparation, IBM

[38] Software Developer Career Guide and Interview Preparation, IBM

[39] Information Technology (IT) Fundamentals for Everyone, IBM

[40] Generative AI Essentials: Overview and Impact, University of Michigan

[41] Generative AI for Executives and Business Leaders, IBM

[42] Generative AI and LLMs: Architecture and Data Preparation, IBM

[43] Generative AI for Leaders, Vanderbilt University

[44] Prompt Engineering for ChatGPT, Vanderbilt University

Coursera Project Network

[1] Image Classification with CNNs using Keras

[2] Classification with Transfer Learning in Keras

[3] Optimize TensorFlow Models For Deployment with TensorRT

[4] Perform Sentiment Analysis with scikit-learn

[5] Exploratory Data Analysis With Python and Pandas

[6] Linear Regression with Python

[7] Predict Employee Turnover with scikit-learn

PERSONAL ACTIVITIES

-  Guitar, Piano, Computer Music, Travelling, Photograph, and Sports

Updated on 22 March 2025 by Dr. Sarayut Nonsiri