WSQ - AI-Assisted C Programming for Arduino

Topic 1: Key Software Components in Embedded C

• Identify C components: variables, data types, functions
• Analyze specifications using AI tools
• Map components to embedded system needs

Topic 2: Creating Arduino Applications with AI Tools

• Use Arduino IDE and AI code assistants
• Write and test embedded C programs
• Apply AI to streamline development

Topic 3: Choosing the Right Controls and Features

• Apply control structures and data handling
• Use AI suggestions to meet design logic
• Adapt C features for embedded constraints

Topic 4: Testing Code Interoperability and Functionality

• Integrate and test embedded modules
• Use AI to detect and resolve issues
• Validate software-hardware interactions

Topic 5: Documenting Embedded C Projects with AI

• Generate code documentation and diagrams
• Use AI to draft project reports
• Align documentation with user needs

Final Assessment

• Written Assessment - Short Answer Questions (WA-SAQ)
• Practical Performance (PP)

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• 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: 21 to 65 years old

Minimum Software/Hardware Requirement

Software:

Download and Install the following software

• Visual Studio Code

Hardware: Window or Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity. 

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Steps to Apply Skills Future Claim

• The staff will send you an invoice with the fee breakdown.
• Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
• Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
• Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The  SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

• Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

• SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
• All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
• An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
• UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
• UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
9. The assessor can help the candidate with writing and lodging the appeal.
10. he assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.

• 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

Richard Wan – Richard Wan is an ACLP-certified trainer and veteran technologist with more than 40 years of experience in software, hardware, and embedded systems development. With degrees in Electrical Engineering and Computer Science, he has worked extensively in AI, programming, and microcontroller solutions, co-founding technology companies and consulting for multinational clients. He has conducted WSQ and corporate training in C, C++, and electronics, equipping professionals with a strong foundation in computing and problem-solving.

In his C programming courses, Richard emphasizes rigorous fundamentals such as data types, functions, arrays, pointers, and memory management. He integrates real-world applications from embedded systems and software engineering, ensuring learners not only gain programming proficiency but also develop computational thinking skills applicable in technical domains.

Choong Sin Fatt – Choong Sin Fatt is an ACTA-certified trainer, Agile strategist, and software engineering consultant with extensive experience in curriculum design, agile transformation, and technology adoption. With more than 7 years of consulting on Scaled Agile practices and decades of experience in software engineering, he has trained professionals across industries in problem-solving, design thinking, and modern development methodologies.

In his C programming training, Sin Fatt emphasizes structured problem-solving and the application of programming concepts to real-world scenarios. He guides learners through algorithm design, modular programming, and debugging, while embedding agile and design thinking principles into the learning process. His approach ensures participants not only understand the technical aspects of C but also cultivate adaptable and innovative mindsets for software development.

Noel Lou: Noel Lou is an experienced embedded systems engineer and educator with over 15 years of expertise in C programming, IoT development, and robotics integration. He has designed and implemented numerous automation projects using Arduino, Raspberry Pi, and ESP32 platforms for both industrial and educational applications. As an ACLP-certified trainer, Noel is known for his ability to simplify complex programming and hardware integration concepts, making them accessible to learners from diverse technical backgrounds. His passion for teaching lies in bridging electronics, coding, and AI-assisted design to foster innovation and creativity.

In “AI-Assisted C Programming for Arduino,” Noel teaches participants how to leverage generative AI tools to accelerate embedded software development and hardware prototyping. His sessions focus on AI-guided code generation, debugging, and optimization techniques to streamline C programming workflows. Through hands-on exercises involving real-world Arduino projects, he equips learners with the skills to design intelligent systems that blend classical programming with modern AI-driven development approaches.

Dr. Alfred Ang: Dr. Alfred Ang is a distinguished technology leader, educator, and researcher with over 20 years of experience in software engineering, AI systems, and IoT innovation. As Chief Technology Officer and CIO of Tertiary Infotech Pte Ltd, he has led the design and delivery of over 500 technology training programs in fields such as AI, robotics, and cybersecurity. Dr. Ang holds a Ph.D. in Information Systems and is recognized for his deep expertise in integrating AI with embedded and cloud-based systems. His teaching emphasizes the practical application of advanced technologies to real-world engineering challenges.

In “AI-Assisted C Programming for Arduino,” Dr. Ang introduces learners to the convergence of artificial intelligence and embedded programming. His sessions explore how AI tools can enhance C-based coding efficiency, hardware control, and automation design. By combining academic rigor with hands-on experimentation, he guides participants to build smarter, more adaptive Arduino projects that demonstrate the potential of AI in next-generation embedded systems development.