This course equips educators and learners with the skills to explore Artificial Intelligence (AI), Python programming, and hardware integration through real-world applications. Participants will gain hands-on experience in Python, study core AI topics such as machine learning, data analysis, and neural networks, and apply these in both teaching and personal projects. The course includes practical work with Raspberry Pi, allowing learners to build and control circuits using Python, promoting interactive and problem-based learning. By combining theory with applied software and hardware tasks, it supports skill development in areas like engineering, IoT, and data science, preparing learners for future careers or innovations.
Learning Outcomes
- Understand AI, machine learning, and Python, and teach these topics.
- Gain Python skills, including debugging and using libraries like TensorFlow and Scikit-learn for AI models.
- Teach data management and analysis, along with problem-solving in Python.
- Apply Python for tasks like file management and math operations.
- Write clear and organized Python code for efficient programming.
Who Should Take This Course?
This course is ideal for educators, students, and professionals who want to explore the practical applications of Artificial Intelligence (AI), Python programming, and hardware integration. Whether you're teaching, learning, or working in fields like engineering, data science, or IoT, this course will help you develop hands-on skills in AI, machine learning, and coding with Raspberry Pi. It’s also a great fit for those interested in building real-world tech projects, solving problems through programming, or preparing for future careers in smart technologies.
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MODULE 1 - Python and Platforms
- What is Python?
- Why Python?
- Applications of Python.
- Software Download and Installation.
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MODULE 2 - Python Introductions
- Getting Started – “HELLO WORLD”
- Keywords and Identifiers.
- Statements and Comments.
- Variables.
- Data Types.
- Objects and Operators.
- Data Type Conversion.
- Math Methods.
- Input / output.
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MODULE 3 - Flow Control
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Conditional Statements
- - If … else
- - Nested If
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Loops
- - While Loo
- - For Loop
- Break, Continue and Pass.
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Conditional Statements
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MODULE 4 - Methods
- Body of a Method.
- Passing Argument.
- Recursion.
- Lambda Functions.
- Global, Local & Nonlocal.
- Modules & Package.
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MODULE 5 - Data Structures
- String.
- List.
- Tuple.
- Set.
- Dictionary.
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MODULE 6 - Files Manipulation
- File Input / Output.
- Directory and File management.
- Exception Handling.
- File Types.
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MODULE 7 - Object Oriented in Python
- Creating Objects.
- Class.
- Methods.
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MODULE 8 - Install Raspberry Pi OS
- Flash Raspberry Pi OS with SSH and WIFI setup on micro SD card.
- Boot your Raspberry Pi for the First Time.
- Find the Raspberry Pi’s IP address.
- Connect to Your Pi using SSH.
- Setup VNC to Get a Remote Access to your Raspberry Pi OS Desktop.
- Finish the Start-up Configuration.
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MODULE 9 - Build your first Raspberry Pi Circuit
- How to Safely Manipulate Your Board.
- Understand How a Breadboard Works.
- The Resistors Colour Code.
- Build Your First Circuit - 1 LED and 1 resistor.
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MODULE 10 - Control Raspberry Pi’s GPIOs with Python
- How GPIOs Work.
- Create a Python Program to Make an LED Blink.
- Set the LED’s State from User Input.
- Add a Push Button to Your Circuit.
- Detect When a Button is Pressed with Python.
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MODULE 11 - Practice More with GPIOs
- Power ON the LED When the Button is Pressed.
- Add 2 More LEDs to Your Circuit.
- Change the Powered on LED When Pressing the Button.
- Optimize Your Code with Lists and Functions.
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MODULE 12 - Practice More with GPIOs
- Tune the PIR sensor.
- Add the PIR Sensor to Your Circuit.
- Read the PIR’s Data with Python.
- Power on an LED when Motion is Detected - Your First Alarm System.
Upon successfully passing the examination for this course, participants will be awarded a certificate, an example of which is shown below.
Artificial Intelligence (Python Programming with Raspberry Pi)
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Artificial Intelligence (Python Programming with Raspberry Pi)
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Physical Class 4 Days
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Online Class 4 Days
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Language English, Malay