The Core Knowledge Domains in Coding for AI
HTML
HTML I
HTML & JavaScript
1. Tables
2. Column Span & Row Span
3. CSS
4. FTP uploads and Publish Websites
HTML II
HTML & JavaScript
1. Images in Tables
2. Audio & Video
3. Hyperlinks & Displays
4. Displays with buttons
Each course consists of four lessons. Every lesson begins with two video tutorials followed by practical exercises. Sample codes for the exercises will be provided to assist you. After completing the lessons, you will receive two sets of homework assignments to reinforce your learning. You can submit your completed homework, and the instructor will review your code and provide feedback.
HTML III
HTML & JavaScript
1. Inputs & Forms
2. Radio Inputs
3. Form & Operation
4. Form Publishing
Python
Python II
Basic Programming
1. Geometry & HandTracking
2. Geometry Colours
3. Fingers in Geometry
4. Data
AI Agents
AI Agents I
Access Database
1. Introduction to LLM
2. LangGraph
3. Function Calling
4. AI Agent & Database
AI Agents II
Access Database
1. AI Agent-Registration System
2. AI Agent-Exam Results Enquiry
3. Teachers' Lesson Arrangement
4. Teachers' Auto-Marking agent
OpenCV
OpenCV I
JS Library
1. Optical Character Recognition (RegEx)
2. OCR & MySQL
3. Detect and Count The Number of People
4. Emotion Detection
OpenCV II
Python Library
1. Voice to Text
2. Face Recognition
3. Attendance System with Face Recognition
4. Parking System
MySQL, Frontend (FE) & Backend(BE)
MySQL FE & BE I
with Linux Server
1. MySQL Database & Table
2. Add data into MYSQL on HTML
3. Retrieve data on HTML
4. Retrieve data and Functions
MySQL FE&BE II
Access Database
1. Add & Retrieve Data
2. Delete Data
3. Purchasing System: Retrieve and Delete
4. Inventory System: Retrieve, Add & Delete
ML
Machine Learning
Data Structure
1. Data Processing
2. Model Training- Establish Joblib
3. Model Display in HTML
4. Linear Regression Model
Machine Learning
Data Structure
1. Logistic Regression Model
2. Decision Trees
3. Case I - Sales Prediction
4. Case II- Student Engagement Prediction