Course Highlights:

This course offers a comprehensive introduction to AI and ML, featuring a blend of theoretical concepts and practical applications. Key highlights include hands-on sessions with popular ML algorithms like regression, classification, and clustering, as well as advanced topics such as neural networks and deep learning. You'll learn essential data preprocessing techniques and model evaluation methods, and work with powerful tools like Python, scikit-learn, and TensorFlow. The course culminates in a capstone project, allowing you to apply your knowledge to a real-world problem and present your findings. 

Course Outcome:

The participants will be able to: 

1. Understand the fundamental concepts and techniques of artificial intelligence and machine learning, including data preprocessing, supervised and unsupervised learning, and neural networks. 

2. Gain hands-on experience implementing machine learning models using Python and key libraries such as scikit-learn and TensorFlow and learn to evaluate and improve these models. 

3. Apply AI and ML techniques to real-world problems, culminating in a capstone project, while considering ethical implications and the societal impact of these technologies.

What you'll learn

Introduction to “IoT & simulation tools (Wokwi)”, Hands-on activity 1 (ESP32 – push button and relay), Hands-on activity 2 (ESP32 – temperature and LCD Display) Hands-on activity 3 (Create Blynk Dashboard), Hands-on activity 4 (Connect Wokwi to Blynk), Hands-on activity 5 (Control & Monitor Simulation Hardware : Blynk-to-Wokwi), Hands-on activity 6 (Control & Monitor Simulation Hardware : using Blynk Apps) 

• The program is designed for kids who want to explore the basic controller.

• The program used Maker UNO Edu Kit to collect sensor data (e.g.,: LDR) and to control the output actuators (e.g,: DC motor).

What you'll learn

Basic arduino programming using Maker UNO Edu Kit

• The program is designed for those who want to explore Internet of Things (IOT) capability from an embedded system such as Raspberry Pi.

• The program used Raspberry PI to collect sensor data and send it to NodeRed as the IOT platform.

• As for IOT service, using MQTT brokers to fetch the sensor data will unlock the potential for further processing of the sensor data in the cloud base.  

What you'll learn

Raspberry PI, NodeRed, MQTT, Adafruit IO and ThingSpeak

• The program is designed for school students who wish to develop a Graphical User Interface (GUI) by using python language.

• The platform of python development is Thonny, with TkInter library in developing the GUI.

What you'll learn

Introduction to Python, Thonny IDE, TkInter Library

• The Professional Certificate in Applied Machine Learning has been designed to support the strategic upskilling needs of employees in applied machine learning. 

• This certification course is ideal for working professionals that have an interest in Artificial Intelligence towards the technology IR 4.0. 

• This program is delivered through an interactive learning model with live sessions by instructors mostly from Machine Learning Research Group (MLRG), UiTM Penang.

What you'll learn

Introduction to Python, Basic Python for Machine Learning, Pattern Recognition, Artificial Intelligence, Supervised Machine Learning, Unsupervised Machine Learning, Computer Vision and Deep Learning. Hands-on throughout the learning process.

This project is a partnership with PoliMetro Tasek Gelugor to educate industry personnel with Data Science knowledge. The program is focused on any level or domain at a different business level to use Data Science skills to gain new insight in decision making. The program is funded by HRDF grant.

This project is designed for school students who wish to learn python programming. The course is conducted in a fun learning environment, where drone DJI Tello Edu is used as the hardware for python programming. Through this approach, students engage in an interactive learning environment thus trigger interest in science and technology. The program is funded by Bahagian Penyelarasan Bumiputera Pulau Pinang.

Coming soon....

The project is dedicated for Vocational College Lecturer to enhanced embedded system knowledge focusing on PIC microcontroller. Through this project, participants learn how to write C Progamming for designing embedded system project for PIC microcontoller. This project is funded by High TVET fund.