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Course Details
Course Details
What You'll Learn
Topic 1 Getting Started and C Fundamentals with AI Vibe Coding
- Introduction to C and Vibe Coding
- Setting Up a C Compiler and AI Coding Assistants (Cursor, GitHub Copilot, Claude)
- Variables, Data Types, Operators and Control Flow
- Functions, Debugging and Explaining Code with AI
Topic 2 Data, Pointers and Building C Programs with AI
- Arrays, Strings and Structs
- Pointers and Memory Management
- Building a Command-Line Application
- Testing, Compiling and Running Your Project
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
Download and install Visual Studio Community https://visualstudio.microsoft.com/vs/community/
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- C Programmer
- Embedded Systems Developer
- Systems Engineer
- Firmware Developer
- Application Developer
- Game Developer
- Robotics Engineer
- IoT Developer
- Computer Science Educator
- Software Architect
- Mobile App Developer
- Data Scientist
- Machine Learning Engineer
- Cybersecurity Analyst
Trainers
Trainers
Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing.
Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.
Ken Yuen is an ACTA-certified adult educator specializing in STEM education, IoT systems, and programming. With a background in electrical and electronics engineering from NTU, he has conducted WSQ and SkillsFuture courses in Arduino, Raspberry Pi, micro:bit, Jetson Nano, and Python. He is also a registered MOE instructor, having taught coding and robotics programs in over 50 schools, equipping students and professionals alike with practical IoT and programming skills.
In his IoT courses, Ken focuses on hands-on experimentation with microcontrollers, sensors, and automation systems. His prior experience as a Technical Consultant at Anson Engineering saw him develop IoT-based SCADA and temperature monitoring systems for industrial applications, giving him strong industry insight. By blending educational expertise with technical project experience, Ken ensures learners develop the confidence to build, test, and apply IoT solutions in real-world contexts.
Review
Customer Reviews (24)
- Will Recommend Review by Course Participant/Trainee
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. (Posted on 10/2/2019)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Might Recommend Review by Course Participant/Trainee
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Focus more on files topic (Posted on 10/14/2018)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Will Recommend Review by Course Participant/Trainee
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. (Posted on 8/8/2018)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Might Recommend Review by Course Participant/Trainee
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I feel that the course is not so suitable for people with no programming background. While i understand that it is impossible for us to learn a programming language in a short time, too much was being packed into the lesson learn comfortably. Most of the time i was able to understand quickly because of my knowledge of another programming language. i suggest to give more time for hands-on sessions to try out the commands that the facilitators just taught and give break time in between to allow participants time to gather their thoughts. Even for over-arching view of the language, a 2 day course would be good so that the content is gone through slowly (even going through the very basic stuff) and allow sufficient time for trying out and learning. (Posted on 8/8/2018)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Will Recommend Review by Course Participant/Trainee
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Nil (Posted on 4/22/2018)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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