{"id":7402,"date":"2021-12-10T11:00:20","date_gmt":"2021-12-10T04:00:20","guid":{"rendered":"https:\/\/superai.aiat.or.th\/?page_id=7402"},"modified":"2021-12-30T10:04:48","modified_gmt":"2021-12-30T03:04:48","slug":"ss2-curriculum","status":"publish","type":"page","link":"https:\/\/superai.aiat.or.th\/2021\/ss2-curriculum\/","title":{"rendered":"Curriculum"},"content":{"rendered":"\n<div class=\"wp-block-cover alignfull has-background-dim-30 has-background-dim has-parallax has-background-gradient\" style=\"background-image:url(https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/09\/abstract-connected-dots-lines-blue-background-communication-technology-network-concept-with-moving-lines-dots-2-scaled.jpg);min-height:300px\"><span aria-hidden=\"true\" class=\"wp-block-cover__gradient-background\" style=\"background:linear-gradient(187deg,rgb(74,234,220) 0%,rgb(151,120,209) 20%,rgb(207,42,186) 40%,rgb(238,44,130) 60%,rgb(251,105,98) 80%,rgb(254,248,76) 100%)\"><\/span><div class=\"wp-block-cover__inner-container\">\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"has-text-align-center\" style=\"font-size:60px\">\u0e23\u0e32\u0e22\u0e0a\u0e37\u0e48\u0e2d\u0e2b\u0e25\u0e31\u0e01\u0e2a\u0e39\u0e15\u0e23<\/h2>\n\n\n\n<p><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul><li><a href=\"#a\"><strong>Natural Language Processing (NLP)<\/strong><\/a><ul><li><a href=\"#a1\">Natural Language Processing<\/a><\/li><li><a href=\"#a2\">Machine Translation<\/a><\/li><li><a href=\"#a3\">From Linguistics to Formal Grammars (Automata)<\/a><\/li><li><a href=\"#a4\">Text Processing &amp; BERT<br>Question &amp; Ansering Thai BERT<\/a><\/li><li><a href=\"#a5\">Web Scraping and Document Classification<\/a><\/li><\/ul><\/li><li><a href=\"#b\"><strong>Image Processing<\/strong><\/a><ul><li><a href=\"#b1\">Introduction and Advanced Image processing<\/a><\/li><li><a href=\"#b2\">Computer vision<\/a><\/li><li><a href=\"#b3\">Introduction to Point Cloud (Digital Geometry Processing)<\/a><\/li><li><a href=\"#b4\">Introduction to Point Cloud (2D-3D Reconstruction)<\/a><\/li><li><a href=\"#b5\">Introduction to Point Cloud (3D Deep Learning and PointNet)<\/a><\/li><\/ul><\/li><li><a href=\"#c\"><strong>Internet of Things and Robotics<\/strong><\/a><ul><li><a href=\"#c1\">Arm Robotics and Robot Kinematics<\/a><\/li><li><a href=\"#c2\">Introduction and Advanced Internet of Things<\/a><\/li><\/ul><\/li><li><a href=\"#d\"><strong>Data Science<\/strong><\/a><ul><li><a href=\"#d1\">Finance on Reinforcement Learning<\/a><\/li><li><a href=\"#d2\">Stock Manipulation<\/a><\/li><\/ul><\/li><li><a href=\"#e\"><strong>Signal Processing<\/strong><\/a><ul><li><a href=\"#e1\">Automatic Speech Recognition (ASR)<\/a><\/li><\/ul><\/li><li><a href=\"#f\"><strong>Machine Learning<\/strong><\/a><ul><li><a href=\"#f1\">Machine Learning<\/a><\/li><li><a href=\"#f2\">Advanced Machine Learning<\/a><\/li><li><a href=\"#f3\">Ensemble Method<\/a><\/li><li><a href=\"#f4\">One-Class Classification<\/a><\/li><li><a href=\"#f5\">Principal Component Analysis (PCA)<\/a><\/li><\/ul><\/li><li><strong><a href=\"#h\">Deep Learning<\/a><\/strong><ul><li><a href=\"#h1\">Introduction Deep Learning<\/a><\/li><li><a href=\"#h2\">Advanced Deep Learning<\/a><\/li><\/ul><\/li><li><strong><a href=\"#i\">Mathematics for AI<\/a><\/strong><ul><li><a href=\"#i1\">Introduction Mathematics for AI<\/a><\/li><li><a href=\"#i2\">Advanced Mathematics for AI<\/a><\/li><\/ul><\/li><li><strong><a href=\"#j\">Programming and Tools<\/a><\/strong><ul><li><a href=\"#j1\">Basic of Python Programming<\/a><\/li><li><a href=\"#j2\">Introduction to Linux<\/a><\/li><li><a href=\"#j3\">Introduction to Kaggle<\/a><\/li><li><a href=\"#j4\">Introduction to Google Colab<\/a><\/li><li><a href=\"#j5\">Introduction to GitHub<\/a><\/li><li><a href=\"#j6\">Microservices and Docker Compose<\/a><\/li><li><a href=\"#j7\">Introduction to Docker<\/a><\/li><li><a href=\"#j8\">Introduction to Deployment<\/a><\/li><\/ul><\/li><\/ul>\n\n\n\n<!--more-->\n\n\n\n<h2 class=\"has-text-align-center has-white-color has-text-color has-background\" id=\"a\" style=\"background-color:#003473\">Natural Language Processing (NLP)<\/h2>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-01-NLP-20211227-v08.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of syllabus-superai-01-NLP-20211227-v08.\"><\/object><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-01-NLP-20211227-v08.pdf\">syllabus-superai-01-NLP-20211227-v08<\/a><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-01-NLP-20211227-v08.pdf\" class=\"wp-block-file__button\" download>Download<\/a><\/div>\n\n\n\n<h3 id=\"a1\">Natural Language Processing (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction to NLP \/ Text preprocessing \/ Tokenisation\/ Named Entity Recognition<\/td><\/tr><tr><td>Module 2<\/td><td>Syntax, Grammars and Parsing Techniques<\/td><\/tr><tr><td>Module 3<\/td><td>Features, Augmented Grammars, and Its Application<\/td><\/tr><tr><td>Module 4<\/td><td>Parsing Preference\/Deterministic Parsing\/Lexicalized and Probabilistic Parsing<\/td><\/tr><tr><td>Module 5<\/td><td>Regular Expression, Morphology and Finite-State Transducers<\/td><\/tr><tr><td>Module 6<\/td><td>N-gram and Part-of-Speech Tagging\/Word Sense Disambiguation<\/td><\/tr><tr><td>Module 7<\/td><td>Semantics and Logical Form &#8211; Linking Syntax and Semantics\/ Local Discourse and Reference<\/td><\/tr><tr><td>Module 8<\/td><td>HMM and Speech Recognition \/ Applications: Question Answering &amp; Machine Translation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"a2\">Machine Translation (3 Hours) <\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction to Machine Translation<\/td><\/tr><tr><td>Module 2<\/td><td>Rule-based Machine Translation \/ Corpus-based Machine Translation<\/td><\/tr><tr><td>Module 3<\/td><td>Statistical Machine Translation<\/td><\/tr><tr><td>Module 4<\/td><td>Neural Machine Translation<\/td><\/tr><tr><td>Module 5<\/td><td>Neural Machine Translation with Attention<\/td><\/tr><tr><td>Module 6<\/td><td>Transformer for MT<\/td><\/tr><tr><td>Module 7<\/td><td>Machine Translation Evaluation<\/td><\/tr><tr><td>Module 8<\/td><td>Data Preparation for MT<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 id=\"a3\">From Linguistics to Formal Grammars (Automata) (3 Hours) <\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Linguistics as Pattern Observation<\/td><\/tr><tr><td>Module 2<\/td><td>Formal Language \/ Chomsky Hierarchy of Formal Grammars<\/td><\/tr><tr><td>Module 3<\/td><td>Regular Languages<\/td><\/tr><tr><td>Module 4<\/td><td>Context-Free Language<\/td><\/tr><tr><td>Module 5<\/td><td>Mildly Context-Sensitive Languages<\/td><\/tr><tr><td>Module 6<\/td><td>Context-Sensitive<\/td><\/tr><tr><td>Module 7<\/td><td>Recursively Enumerable Language<\/td><\/tr><tr><td>Module 8<\/td><td>Pumping Lemmas<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 id=\"a4\">Text Processing &amp; BERT<br>Question &amp; Ansering Thai BERT (5 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>NLP Transformer<\/td><\/tr><tr><td>Module 2<\/td><td>Feature Representation \/ Sequence Models and Seq2Seq Model<\/td><\/tr><tr><td>Module 3<\/td><td>Encoder and Decoder Performance \/ Inside Encoder and Decoder<\/td><\/tr><tr><td>Module 4<\/td><td>GPT-1\/ BERT: Theory \/ Task Specific Methods \/ Practical \/ Fine Tuning<\/td><\/tr><tr><td>Module 5<\/td><td>Other Transformer-based Models and GPT-2<\/td><\/tr><tr><td>Module 6<\/td><td>Introduction to BERT \/ BERT for QA Model and Huggingface \/ Tokenization and Pipeline<\/td><\/tr><tr><td>Module 7<\/td><td>Text Classification with Wongnai Dataset<\/td><\/tr><tr><td>Module 8<\/td><td>Text Classification with Custom Dataset \/ Thai Automatic Question Answering<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 id=\"a5\">Web Scraping and Document Classification (3 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Overview Web Scraping<\/td><\/tr><tr><td>Module 2<\/td><td>Basic HTML Document and Web Scraping<\/td><\/tr><tr><td>Module 3<\/td><td>Regular Expressions with Python<\/td><\/tr><tr><td>Module 4<\/td><td>Document Classification<\/td><\/tr><tr><td>Module 5<\/td><td>Preprocessing and Problems<\/td><\/tr><tr><td>Module 6<\/td><td>Topic Modeling and Tag Suggestion<\/td><\/tr><tr><td>Module 7<\/td><td>Phishing Web Detection and Sentiment Analysis<\/td><\/tr><tr><td>Module 8<\/td><td>Document Classification Workshop<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-background has-vivid-red-background-color has-vivid-red-color is-style-wide\"\/>\n\n\n\n<h2 class=\"has-text-align-center has-white-color has-text-color has-background\" id=\"b\" style=\"background-color:#003473\">Image Processing<\/h2>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-02-Image-20211227-v08.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of syllabus-superai-02-Image-20211227-v08.\"><\/object><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-02-Image-20211227-v08.pdf\">syllabus-superai-02-Image-20211227-v08<\/a><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-02-Image-20211227-v08.pdf\" class=\"wp-block-file__button\" download>Download<\/a><\/div>\n\n\n\n<h3 id=\"b1\">Introduction and Advanced Image processing (3 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Basic image processing Color, Light, and Image Formation<\/td><\/tr><tr><td>Module 2<\/td><td>Convolution \/ Image Gradient \/ Corner Detection \/ SIFT<\/td><\/tr><tr><td>Module 3<\/td><td>Histogram Equalization<\/td><\/tr><tr><td>Module 4<\/td><td>Integral Image<\/td><\/tr><tr><td>Module 5<\/td><td>Local Intensity Distribution Equalization (LIDE)<\/td><\/tr><tr><td>Module 6<\/td><td>Maximum Likelihood<\/td><\/tr><tr><td>Module 7<\/td><td>Mixture Model<\/td><\/tr><tr><td>Module 8<\/td><td>Pixel Sorting<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"b2\">Computer vision (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>What is Computer Vision<\/td><\/tr><tr><td>Module 2<\/td><td>Mathematics for Computer Vision<\/td><\/tr><tr><td>Module 3<\/td><td>Filters, Contrast, Transformation, and Morphology<\/td><\/tr><tr><td>Module 4<\/td><td>Image restoration, Sizing, Noise, Segmentation, and Contours<\/td><\/tr><tr><td>Module 5<\/td><td>Color Detection \/ Background Subtraction: With Background \/<\/td><\/tr><tr><td>Module 6<\/td><td>Adding Noises \/ Background Subtraction: Without Background<\/td><\/tr><tr><td>Module 7<\/td><td>Line Sensor \/ Perspective Transform<\/td><\/tr><tr><td>Module 8<\/td><td>Example of Computer Vision<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"b3\">Introduction to Point Cloud (Digital Geometry Processing) (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction of Point Cloud<\/td><\/tr><tr><td>Module 2<\/td><td>How is Point Cloud Generated<\/td><\/tr><tr><td>Module 3<\/td><td>What Format is Point Cloud Stored<\/td><\/tr><tr><td>Module 4<\/td><td>Point Cloud Processing: Registration and Keypoints<\/td><\/tr><tr><td>Module 5<\/td><td>Feature Descriptors<\/td><\/tr><tr><td>Module 6<\/td><td>Correspondences Estimation<\/td><\/tr><tr><td>Module 7<\/td><td>Transformation Estimation<\/td><\/tr><tr><td>Module 8<\/td><td>Applications and Tools<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"b4\">Introduction to Point Cloud (2D-3D Reconstruction) (3 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Point Cloud Registration \/ 2D to 3D Registration<\/td><\/tr><tr><td>Module 2<\/td><td>Camera and object motion tracking<\/td><\/tr><tr><td>Module 3<\/td><td>Feature Extraction and Matching<\/td><\/tr><tr><td>Module 4<\/td><td>2D to 3D Reconstruction and Surface Reconstruction<\/td><\/tr><tr><td>Module 5<\/td><td>Explicit and Implicit Surface<\/td><\/tr><tr><td>Module 6<\/td><td>2D to 3D Reconstruction and Vanilla ICP<\/td><\/tr><tr><td>Module 7<\/td><td>Normalization Depth and World Origin<\/td><\/tr><tr><td>Module 8<\/td><td>Tools and Pytorch 3D \/ 3D Machine Learning, 3D Dataset and ABC \/ VoxelNet and Geometric Deep learning<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"b5\">Introduction to Point Cloud (3D Deep Learning and PointNet) (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction 3D Deep Learning and voxel-based<\/td><\/tr><tr><td>Module 2<\/td><td>Point-based and Graph-based<\/td><\/tr><tr><td>Module 3<\/td><td>Point Net &#8211; Introduction and Input \/ Embedding Space, OOS and Result<\/td><\/tr><tr><td>Module 4<\/td><td>Generating Mesh-based Shapes From learned latent of Point Cloud with VAE-GAN<\/td><\/tr><tr><td>Module 5<\/td><td>Point Attention Network for Gesture Recognition Using Point Cloud Data<\/td><\/tr><tr><td>Module 6<\/td><td>Gather, Scatter, and Mesh base \/ Keypoint 3D and VAE-GAN<\/td><\/tr><tr><td>Module 7<\/td><td>Library Installation and Data Processing \/ Pytorch-geometric Concept, Data Loader<br>and Model Function \/ Create Dataset Using Pytorch<\/td><\/tr><tr><td>Module 8<\/td><td>Model Deployment \/ Dynamic Graph CNN for Learning on Point Clouds Model \/ Message Passing Networks<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-background has-vivid-red-background-color has-vivid-red-color is-style-wide\"\/>\n\n\n\n<h2 class=\"has-text-align-center has-white-color has-text-color has-background\" id=\"c\" style=\"background-color:#003473\">Internet of Things and Robotics<\/h2>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-06-IoT-20211227-v08.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of syllabus-superai-06-IoT-20211227-v08.\"><\/object><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-06-IoT-20211227-v08.pdf\">syllabus-superai-06-IoT-20211227-v08<\/a><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-06-IoT-20211227-v08.pdf\" class=\"wp-block-file__button\" download>Download<\/a><\/div>\n\n\n\n<h3 id=\"c1\">Arm Robotics and Robot Kinematics (6 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction to Robotics \/ The basic principles of robotics<\/td><\/tr><tr><td>Module 2<\/td><td>Robot Types<\/td><\/tr><tr><td>Module 3<\/td><td>Introduction to Robot Mechanics<\/td><\/tr><tr><td>Module 4<\/td><td>Robot Controller<\/td><\/tr><tr><td>Module 5<\/td><td>Sensors and actuators<\/td><\/tr><tr><td>Module 6<\/td><td>Overview Introduction to Robot Kinematics<\/td><\/tr><tr><td>Module 7<\/td><td>The Fundamental Concepts of Kinematics<\/td><\/tr><tr><td>Module 8<\/td><td>Notation and Matrix Representation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"c2\">Introduction and Advanced Internet of Things (6 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Smart IoT Device \/ IoT Introduction &amp; Computing System \/ The Internet of Things<\/td><\/tr><tr><td>Module 2<\/td><td>IoT Components \/ IoT &amp; AIoT Concept \/ Embedded Board &amp; Programming Languages<\/td><\/tr><tr><td>Module 3<\/td><td>Arduino Introduction \/ Basic I\/O \/ Simulator &#8211; Digital Input-Output \/ Analog (Input, Output)<\/td><\/tr><tr><td>Module 4<\/td><td>IoT Connectivity \/ IoT Application<\/td><\/tr><tr><td>Module 5<\/td><td>Tool and Supplements \/ IoT Network Protocol<\/td><\/tr><tr><td>Module 6<\/td><td>Setup Docker Desktop \/ Case Study: Temp\/Humid Monitoring and Control<\/td><\/tr><tr><td>Module 7<\/td><td>Node-RED Simulation \/ Node-RED Brain Process<\/td><\/tr><tr><td>Module 8<\/td><td>Databases \/ Grafana<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-background has-vivid-red-background-color has-vivid-red-color is-style-wide\"\/>\n\n\n\n<h2 class=\"has-text-align-center has-white-color has-text-color has-background\" id=\"d\" style=\"background-color:#003473\">Data Science<\/h2>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-05-DS-20211227-v08.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of syllabus-superai-05-DS-20211227-v08.\"><\/object><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-05-DS-20211227-v08.pdf\">syllabus-superai-05-DS-20211227-v08<\/a><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-05-DS-20211227-v08.pdf\" class=\"wp-block-file__button\" download>Download<\/a><\/div>\n\n\n\n<h3 id=\"d1\">Finance on Reinforcement Learning (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction Machine Learning in Finance<\/td><\/tr><tr><td>Module 2<\/td><td>Reinforcement Learning (RL) Concept<\/td><\/tr><tr><td>Module 3<\/td><td>Markov Decision Process (MDP), Task, Value Functions, and Optimum Policy<\/td><\/tr><tr><td>Module 4<\/td><td>How to solve RL Problem (Dynamic Programing)<\/td><\/tr><tr><td>Module 5<\/td><td>Q-Learning<\/td><\/tr><tr><td>Module 6<\/td><td>Policy Gradient RL<\/td><\/tr><tr><td>Module 7<\/td><td>Rewards &amp; BackTest<\/td><\/tr><tr><td>Module 8<\/td><td>RL Architecture and Other RL<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"d2\">Stock Manipulation (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction Recurrent Neural Network (RNN) &#8211; Introduction RNN<\/td><\/tr><tr><td>Module 2<\/td><td>RNN, Type of RNN and Applications<\/td><\/tr><tr><td>Module 3<\/td><td>Backpropagation Through Time(BPTT) and Long Short Term Memory(LSTM)<\/td><\/tr><tr><td>Module 4<\/td><td>Activity: understand how RNN works?<\/td><\/tr><tr><td>Module 5<\/td><td>Word2Vec Model, Language Translation and Problem<\/td><\/tr><tr><td>Module 6<\/td><td>Attention Mechanism(Self-Attention)<\/td><\/tr><tr><td>Module 7<\/td><td>Transformer \/ Detection of Stock Manipulation<\/td><\/tr><tr><td>Module 8<\/td><td>Machine Learning for Manipulation Detection<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-background has-vivid-red-background-color has-vivid-red-color is-style-wide\"\/>\n\n\n\n<h2 class=\"has-text-align-center has-white-color has-text-color has-background\" id=\"e\" style=\"background-color:#003473\">Signal Processing<\/h2>\n\n\n\n<h3 id=\"e1\">Automatic Speech Recognition (ASR) (4 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction to Automatic Speech Recognition<\/td><\/tr><tr><td>Module 2<\/td><td>Speech recognizer<\/td><\/tr><tr><td>Module 3<\/td><td>ASR Technique and Partii Demo<\/td><\/tr><tr><td>Module 4<\/td><td>Basic structure ASR System<\/td><\/tr><tr><td>Module 5<\/td><td>KALDI &#8211; Introduction<\/td><\/tr><tr><td>Module 6<\/td><td>Example script &#8211; common voice<\/td><\/tr><tr><td>Module 7<\/td><td>Data preparation: Thai syllable system<\/td><\/tr><tr><td>Module 8<\/td><td>Language model preparation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-background has-vivid-red-background-color has-vivid-red-color is-style-wide\"\/>\n\n\n\n<h2 class=\"has-text-align-center has-white-color has-text-color has-background\" id=\"f\" style=\"background-color:#003473\">Machine Learning<\/h2>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-03-ML-20211227-v08.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of syllabus-superai-03-ML-20211227-v08.\"><\/object><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-03-ML-20211227-v08.pdf\">syllabus-superai-03-ML-20211227-v08<\/a><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-03-ML-20211227-v08.pdf\" class=\"wp-block-file__button\" download>Download<\/a><\/div>\n\n\n\n<h3 id=\"f1\">Machine Learning (6 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction of Machine Learning<\/td><\/tr><tr><td>Module 2<\/td><td>Pre-machine learning: rule-base\/ Supervised Learning\/ Unsupervised Learning \/ Linear Regression: Loss Function<\/td><\/tr><tr><td>Module 3<\/td><td>Evaluation, Labeling, Matrics, and Error \/ K-means Clustering and KNN Classification<\/td><\/tr><tr><td>Module 4<\/td><td>The centroid for Cosine Similarity \/ Selecting-K, Variance and Hierarchical Clustering<\/td><\/tr><tr><td>Module 5<\/td><td>Other Flavors of Supervision and Reinforcement Learning \/ self-supervised<\/td><\/tr><tr><td>Module 6<\/td><td>Model Selection and Literature Review \/ My Personal Picks (Regression, KNN, XGboost, DL)<\/td><\/tr><tr><td>Module 7<\/td><td>Data size and Class Imbalance<\/td><\/tr><tr><td>Module 8<\/td><td>Bias, Variance and Double Descent Problem \/ Diagnosis<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"f2\">Advanced Machine Learning (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>SVM and Kernel Methods<\/td><\/tr><tr><td>Module 2<\/td><td>Kernel Function \/ Dual and Kernel Perceptron<\/td><\/tr><tr><td>Module 3<\/td><td>Margin and Generalization<\/td><\/tr><tr><td>Module 4<\/td><td>Dual Problem<\/td><\/tr><tr><td>Module 5<\/td><td>Maximum Margin Classifier<\/td><\/tr><tr><td>Module 6<\/td><td>Support Vector Machine(SVM)<\/td><\/tr><tr><td>Module 7<\/td><td>Kernel Principal Component Analysis (PCA)<\/td><\/tr><tr><td>Module 8<\/td><td>Fancy Kernel<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"f3\">Ensemble Method (1 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction to Ensemble Method<\/td><\/tr><tr><td>Module 2<\/td><td>Bagging Method<\/td><\/tr><tr><td>Module 3<\/td><td>Decision Tree and Random Forest<\/td><\/tr><tr><td>Module 4<\/td><td>Splitting Strategy<\/td><\/tr><tr><td>Module 5<\/td><td>Training Model<\/td><\/tr><tr><td>Module 6<\/td><td>Prediction and Evaluation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"f4\">One-Class Classification (3 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction and Anomaly Detection<\/td><\/tr><tr><td>Module 2<\/td><td>Outlier<\/td><\/tr><tr><td>Module 3<\/td><td>Overview One-Class Classification<\/td><\/tr><tr><td>Module 4<\/td><td>Structure One-Class Classification<\/td><\/tr><tr><td>Module 5<\/td><td>None One-Class Support Vector Machine<\/td><\/tr><tr><td>Module 6<\/td><td>Generative Adversarial Network (GAN)<\/td><\/tr><tr><td>Module 7<\/td><td>Deep One-Class Classification<\/td><\/tr><tr><td>Module 8<\/td><td>Applications: Example 1-4 and Conclusion<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"f5\">Pricipal Component Analysis (PCA) (3 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Matrix and Vector<\/td><\/tr><tr><td>Module 2<\/td><td>Subspace Projection and Variance<\/td><\/tr><tr><td>Module 3<\/td><td>Principal Component Analysis (PCA) \/ Lagrangian<\/td><\/tr><tr><td>Module 4<\/td><td>PCA Axes Selection \/ PCA Algorithm and Reconstruction Error<\/td><\/tr><tr><td>Module 5<\/td><td>Eigen-Decomposition: Jacobi Method<\/td><\/tr><tr><td>Module 6<\/td><td>PCA: For Small and Large Sample Size Data<\/td><\/tr><tr><td>Module 7<\/td><td>Kernel PCA (KPCA) \/ Kernel Trick and Summary of KPCA \/ How to Apply KPCA to Set of 10,000 Vectors<\/td><\/tr><tr><td>Module 8<\/td><td>Related Techniques<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-background has-vivid-red-background-color has-vivid-red-color is-style-wide\"\/>\n\n\n\n<h2 class=\"has-text-align-center has-white-color has-text-color has-background\" id=\"h\" style=\"background-color:#003473\">Deep Learning<\/h2>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-04-DL-20211227-v08.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of syllabus-superai-04-DL-20211227-v08.\"><\/object><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-04-DL-20211227-v08.pdf\">syllabus-superai-04-DL-20211227-v08<\/a><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-04-DL-20211227-v08.pdf\" class=\"wp-block-file__button\" download>Download<\/a><\/div>\n\n\n\n<h3 id=\"h1\">Introduction Deep Learning (5 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction to TensorFlow<\/td><\/tr><tr><td>Module 2<\/td><td>Overview of Neural Networks<\/td><\/tr><tr><td>Module 3<\/td><td>Loss Function \/ Back Propagation \/ Activation Functions<\/td><\/tr><tr><td>Module 4<\/td><td>Tensor Operations \/ Linear and Nonlinear Regression<\/td><\/tr><tr><td>Module 5<\/td><td>Deep Learning and MNIST Dataset \/ One-Hot Encoder and Muti-Layer Perceptron (MLP)<\/td><\/tr><tr><td>Module 6<\/td><td>2D Discrete Cross-correlation \/ Convolutional Neural Network (CNN) \/ 2D Convolutional layer \/ The First CNN: LeNet5<\/td><\/tr><tr><td>Module 7<\/td><td>Transfer Learning and Example Transfer Learning<\/td><\/tr><tr><td>Module 8<\/td><td>Deeper Network: VGG, Adam and Example VGG16<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"h2\">Advanced Deep Learning (4 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Transfer learning &#8211; VGG16<\/td><\/tr><tr><td>Module 2<\/td><td>Autoencoder Feature Extraction and Encoder, Reconstructor and Combine feature<\/td><\/tr><tr><td>Module 3<\/td><td>Autoencoder: Convolutional Neural Network (CNN) UpSampling 2D and Denoising<\/td><\/tr><tr><td>Module 4<\/td><td>Semantic Segmentation (SegNet) Batch Normalization \/ Lung Sementation (SegNet) U-Net and Dropout \/ Residual Neural Network (ResNet)<\/td><\/tr><tr><td>Module 5<\/td><td>CIFAR &#8211; 10 (Datasets) \/ Traditional<\/td><\/tr><tr><td>Module 6<\/td><td>Generative Adversarial Networks (GANs) \/ Super Resolution GAN (SRGAN)<\/td><\/tr><tr><td>Module 7<\/td><td>Audio (STFT, MFCC) Example Audio Recognition (CNN)<\/td><\/tr><tr><td>Module 8<\/td><td>Time series, Simple NN Example Stock Prediction<\/td><\/tr><tr><td>Module 9<\/td><td>Text: Feature Extraction Word2Vec, RNN, and LSTM<\/td><\/tr><tr><td>Module 10<\/td><td>Example: Colab Code Audio, Time serial, and Text<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-background has-vivid-red-background-color has-vivid-red-color is-style-wide\"\/>\n\n\n\n<h2 class=\"has-text-align-center has-white-color has-text-color has-background\" id=\"i\" style=\"background-color:#003473\">Mathematics for AI<\/h2>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-08-AI-Math-20211227-v08.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of syllabus-superai-08-AI-Math-20211227-v08.\"><\/object><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-08-AI-Math-20211227-v08.pdf\">syllabus-superai-08-AI-Math-20211227-v08<\/a><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-08-AI-Math-20211227-v08.pdf\" class=\"wp-block-file__button\" download>Download<\/a><\/div>\n\n\n\n<h3 id=\"i1\">Introduction Mathematics for AI (3 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Machine Learning Introduction<\/td><\/tr><tr><td>Module 2<\/td><td>Linear Algebra: Vector and Matrix<\/td><\/tr><tr><td>Module 3<\/td><td>Linear Algebra : Transformation &amp; Determinant<\/td><\/tr><tr><td>Module 4<\/td><td>Linear Algebra: Eigenvectors<\/td><\/tr><tr><td>Module 5<\/td><td>Linear Algebra: Singular Value Decomposition (SVD)<\/td><\/tr><tr><td>Module 6<\/td><td>Probability: Basics of Probability and Weighted and Unweighted<\/td><\/tr><tr><td>Module 7<\/td><td>Calculus: Differential and Integral<\/td><\/tr><tr><td>Module 8<\/td><td>Statistical<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-wide\"\/>\n\n\n\n<h3 id=\"i2\">Advanced Mathematics for AI (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Features<\/td><\/tr><tr><td>Module 2<\/td><td>Loss Function<\/td><\/tr><tr><td>Module 3<\/td><td>Binary Cross-Entropy Loss<\/td><\/tr><tr><td>Module 4<\/td><td>Maximum Likelihood<\/td><\/tr><tr><td>Module 5<\/td><td>Linear Classifier<\/td><\/tr><tr><td>Module 6<\/td><td>Multinomial Model<\/td><\/tr><tr><td>Module 7<\/td><td>High Dimensional Data<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-background has-vivid-red-background-color has-vivid-red-color is-style-wide\"\/>\n\n\n\n<h2 class=\"has-text-align-center has-white-color has-text-color has-background\" id=\"j\" style=\"background-color:#003473\">Programming and Tools<\/h2>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-07-ProgTool-20211227-v08.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of syllabus-superai-07-ProgTool-20211227-v08.\"><\/object><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-07-ProgTool-20211227-v08.pdf\">syllabus-superai-07-ProgTool-20211227-v08<\/a><a href=\"https:\/\/superai.aiat.or.th\/2021\/wp-content\/uploads\/2021\/12\/syllabus-superai-07-ProgTool-20211227-v08.pdf\" class=\"wp-block-file__button\" download>Download<\/a><\/div>\n\n\n\n<h3 id=\"j1\">Basic of Python Programming (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Python Setup \/ Fundamental Data Types \/ Comparison and Logical Operators<\/td><\/tr><tr><td>Module 2<\/td><td>Control Flow Statements \/ IF-Then Statements<\/td><\/tr><tr><td>Module 3<\/td><td>Loops<\/td><\/tr><tr><td>Module 4<\/td><td>Built-in Python Expressions \/ Functions<\/td><\/tr><tr><td>Module 5<\/td><td>Classes &amp; Objects<\/td><\/tr><tr><td>Module 6<\/td><td>Import Library<\/td><\/tr><tr><td>Module 7<\/td><td>Inputs and Outputs<\/td><\/tr><tr><td>Module 8<\/td><td>Files<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"j2\">Introduction to Linux (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Linux Structure and Installation<\/td><\/tr><tr><td>Module 2<\/td><td>User Environment\/ Text Editors\/ Command-line Operations<\/td><\/tr><tr><td>Module 3<\/td><td>Local Security Principles \/ Network Operations<\/td><\/tr><tr><td>Module 4<\/td><td>Manipulating Text \/ Bash Shell Scripting \/ Advanced Bash Shell Scripting<\/td><\/tr><tr><td>Module 5<\/td><td>Processes<\/td><\/tr><tr><td>Module 6<\/td><td>Finding Linux Documentation<\/td><\/tr><tr><td>Module 7<\/td><td>File Operations<\/td><\/tr><tr><td>Module 8<\/td><td>Common Applications<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"j3\">Introduction to Kaggle (30 Minutes)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction to Kaggle<\/td><\/tr><tr><td>Module 2<\/td><td>Advanced to Kaggle<\/td><\/tr><tr><td>Module 3<\/td><td>Competition to Kaggle<\/td><\/tr><tr><td>Module 4<\/td><td>Kaggle Hands-on<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"j4\">Introduction to Google Colab (1 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction to Google Colab<\/td><\/tr><tr><td>Module 2<\/td><td>Google Colab Tour<\/td><\/tr><tr><td>Module 3<\/td><td>Basic Uses<\/td><\/tr><tr><td>Module 4<\/td><td>Advanced Uses and Conclusion<\/td><\/tr><tr><td>Module 5<\/td><td>Google Colab Hands-on<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"j5\">Introduction to GitHub (1 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction to GitHub and Version Control (Including Git installation)<\/td><\/tr><tr><td>Module 2<\/td><td>Text Editor and Extension<\/td><\/tr><tr><td>Module 3<\/td><td>Git Using in Project and Basic Commands<\/td><\/tr><tr><td>Module 4<\/td><td>Branch<\/td><\/tr><tr><td>Module 5<\/td><td>Github Registration and Authentication<\/td><\/tr><tr><td>Module 6<\/td><td>Github Repository Management<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"j6\">Microservices and Docker Compose (4 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction Microservice \/ Microservice as RESTful APIs \/ API Gateway<\/td><\/tr><tr><td>Module 2<\/td><td>Event-driven Communication, Secure Microservices, Data Management, Event Communication<\/td><\/tr><tr><td>Module 3<\/td><td>Success Factor and Grafana<\/td><\/tr><tr><td>Module 4<\/td><td>Introduction to Docker, Build and Run<\/td><\/tr><tr><td>Module 5<\/td><td>Old Style Deploy, The Matrix of Hell, Container Isolation, Glossary<\/td><\/tr><tr><td>Module 6<\/td><td>Install Docker, Command, and Network<\/td><\/tr><tr><td>Module 7<\/td><td>Docker Image \/ Docker-compose \/ Services \/ Networks, Volumes, Docker-compose<\/td><\/tr><tr><td>Module 8<\/td><td>Example and Showcase of Docker-compose<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"j7\">Introduction to Docker (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction Microservice \/ Microservice as RESTful APIs \/ API Gateway<\/td><\/tr><tr><td>Module 2<\/td><td>Event-driven Communication, Secure Microservices, Data Management, Event Communication<\/td><\/tr><tr><td>Module 3<\/td><td>Success Factor and Grafana<\/td><\/tr><tr><td>Module 4<\/td><td>Introduction to Docker, Build and Run<\/td><\/tr><tr><td>Module 5<\/td><td>Old Style Deploy, The Matrix of Hell, Container Isolation, Glossary<\/td><\/tr><tr><td>Module 6<\/td><td>Install Docker, Command, and Network<\/td><\/tr><tr><td>Module 7<\/td><td>Docker Image \/ Docker-compose \/ Services \/ Networks, Volumes, Docker-compose<\/td><\/tr><tr><td>Module 8<\/td><td>Example and Showcase of Docker-compose<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator is-style-default\"\/>\n\n\n\n<h3 id=\"j8\">Introduction to Deployment (2 Hours)<\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Module 1<\/td><td>Introduction to Application Programming Interface (API) and Deployment<\/td><\/tr><tr><td>Module 2<\/td><td>API Development with Python and Flask<\/td><\/tr><tr><td>Module 3<\/td><td>Machine Learning Model with Python<\/td><\/tr><tr><td>Module 4<\/td><td>Machine learning as a Service Development with API<\/td><\/tr><tr><td>Module 5<\/td><td>Testing API with Postman<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Natural Language Processing (NLP) Natural Language Processing Machine Translation From Linguistics to Formal Grammars (Automata) Text Processing &amp; BERTQuestion &amp; Ansering Thai BERT Web Scraping and Document Classification Image Processing Introduction and Advanced Image processing Computer vision Introduction to Point Cloud (Digital Geometry Processing) Introduction to Point Cloud (2D-3D Reconstruction) Introduction to Point Cloud (3D [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/superai.aiat.or.th\/2021\/wp-json\/wp\/v2\/pages\/7402"}],"collection":[{"href":"https:\/\/superai.aiat.or.th\/2021\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/superai.aiat.or.th\/2021\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/superai.aiat.or.th\/2021\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/superai.aiat.or.th\/2021\/wp-json\/wp\/v2\/comments?post=7402"}],"version-history":[{"count":13,"href":"https:\/\/superai.aiat.or.th\/2021\/wp-json\/wp\/v2\/pages\/7402\/revisions"}],"predecessor-version":[{"id":8449,"href":"https:\/\/superai.aiat.or.th\/2021\/wp-json\/wp\/v2\/pages\/7402\/revisions\/8449"}],"wp:attachment":[{"href":"https:\/\/superai.aiat.or.th\/2021\/wp-json\/wp\/v2\/media?parent=7402"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}