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Art & Spiritualities
Gen Next Academy
1. กฎหมายและการปกครอง
2. ธุรกิจ
3. สังคม ภาษา และการสื่อสาร
4. นวัตกรรมและการออกแบบ
5. วิทยาศาสตร์และการแพทย์
Good life & Wellbeing
Human Capital Management
Learn with Thammasat Lecturer
Learning Sciences & Education
M.A.D Bootcamp
Pharmatopia TU
Reskill & Upskill for communities and yourself
1. กฎหมายและพัสดุ
2. Marketing & Communication
3. Management & Digital
Thammasat initiative
TU Faculties
TUWIZ
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Module 1 การจัดการคลังเวชภัณฑ์ (Warehouse management)
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Module 2 การบริหารทางเลือกเพื่อความคุ้มค่าในการบริหารจัดการคลังยา
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Module 3 ระบบฐานข้อมูลเพื่อการบริหารคลังเวชภัณฑ์
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Module 1 การออกแบบและการสื่อสารองค์กรอย่างสร้างสรรค์
(Creative organization design)
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Module 2 การบริหารทรัพยากรบุคคล
(Human Resource Management)
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Module 3 การบริหารด้านกฎหมายและความมั่นคง
(Law and security management)
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Module 1: Predictive AI
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คอร์ส Content
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Chapter 4.4 Supervised learning (classification)
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Chapter 4.4 Supervised learning (classification)
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Chapter 4.5 Unsupervised learning
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Chapter 4.5 Unsupervised learning
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Chapter 4.6 Overfitting and Underfitting in supervised learning problem
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Chapter 4.7 Train-test-validation split
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Chapter 4.8 Example of real use case in supervised learning problem
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Chapter 4.8 Example of real use case in supervised learning problem
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Chapter 4.9 Key Takeaways
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Lesson 5 Data Preprocessing (1 ชั่วโมง 45 นาที)
Key Objectives
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Chapter 5.1 Overview
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Chapter 5.2 Make a clear plan
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Chapter 5.3 Think about dataset
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Chapter 5.4 Pipeline details
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Chapter 5.5 Demo Pipeline details with Colab
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Chapter 5.6 Handle Missing Data & Categorical data
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Chapter 5.7 Key Takeaways
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Lesson 6 Time Series Analysis (1 ชั่วโมง 26 นาที)
Key Objectives
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Chapter 6.1 Introduction to Time Series Analysis
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Chapter 6.2 Time Series Patterns
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Chapter 6.3 Stationarity of Time Series
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Chapter 6.4 ARIMA Models #1
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Chapter 6.5 ARIMA Models #2
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Module 2: Large Language Model (LLM)
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Chapter 5.3 Key Takeaways
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Lesson 6 Introduction to Langchain (1 ชั่วโมง 14 นาที)
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Chapter 6.1 What is Langchain?
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Chapter 6.1 What is Langchain?
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Chapter 6.2 Getting Started with Langchain (Lab) #1
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Chapter 6.2 Getting Started with Langchain (Lab) #1
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Chapter 6.3 Getting Started with Langchain (Lab) #2
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Chapter 6.4 Key Takeaways
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Lesson 7 Advanced Langchain (32 นาที)
Key Objectives
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Chapter 7.1 ReAct Prompting
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Chapter 7.2 Building Langchain Agents
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Chapter 7.2 Building Langchain Agents
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Chapter 7.3 Building WebUI using ChainLit
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Chapter 7.4 Key Takeaways
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Lesson 8 LLM Application (48 นาที)
Key Objectives
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Chapter 8.1 Introduction
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Chapter 8.2 Social Media Post Tagging
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Chapter 8.3 Social Media Post Tagging (Lab)
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Chapter 8.3 Social Media Post Tagging (Lab)
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Chapter 8.4 Semantic Search
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Chapter 8.5 Semantic Search (Lab)
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Chapter 8.6 Key Takeaways
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Lesson 9 Sentiment Analysis (1 ชั่วโมง 6 นาที)
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Chapter 9.1 Introduction to Sentiment Analysis
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Module 3: Human AI Interaction
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คอร์ส Content
Chapter 4.2 Conversational Microcopy
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Chapter 4.3 Building Persona for Conversational AI
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Chapter 4.4 Nature of Conversation & Cooperative Principle
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Chapter 4.5 Key Takeaways
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Lesson 5 Augmented Intelligence (55 นาที)
Key Objectives
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Chapter 5.1 The Evolution of AI
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Chapter 5.2 Human-AI Fusion
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Chapter 5.3 The Integration Paradigms
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Chapter 5.4 AI That Grows with Us
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Chapter 5.5 The AI Experience
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Chapter 5.6 Future You
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Chapter 5.7 Key Takeaways: The Future Together
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Lesson 6 Future Trends and Challenges in Human-AI Interaction (24 นาที)
Key Objectives
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Chapter 6.1 AI Trend and Challenges in Human-AI Interaction #1
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Chapter 6.2 Key Takeaways
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Lesson 7 Hands-on experience with generative AI for HCI (3 ชั่วโมง 4 นาที)
Key Objectives
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Chapter 7.1 What is stable diffusion?
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Chapter 7.2 AI Art tools
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Chapter 7.3 How stable diffusion works?
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Chapter 7.4 How to write AI Art prompt?
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โครงการปฐมนิเทศพนักงานใหม่ สายสนับสนุนวิชาการ
(ภาคการเรียนรู้ผ่านระบบ e-learning) ประจำปี 2568
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โครงการนิเทศอาจารย์ใหม่
(ภาคการเรียนรู้ผ่านระบบ e-learning) ประจำปี 2568
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DAA Exclusive Course
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