Home
WSQ - AI Vibe Coding with Rust

Sessions 2 days
Duration 16 hrs
Level Beginner
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

TSC Title: Software Design
TSC Code: ICT-DES-3005-1.1

Funding for this course is valid from 15 Nov 2023 to 14 Nov 2027. Register and complete the course within this period to qualify for funding support.

By end of the course, learners should be able to:

LO1: Determine basic software components using programming methodologies to meet functional specifications.
LO2: Apply programming methodologies and tools for software creation.
LO3: Select essential programming controls and features to meet software design requirements.
LO4: Examine the interoperability and functionality of programming components.
LO5: Generate programming design documentation aligned with user specifications.

Download Course Brochure

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - AI Vibe Coding with Rust

Course Code: TGS-2023039924

WSQ
SFC
PSEA
UTAP
SFEC
Absentee Payroll
MCES

Be the first to review this product

This WSQ AI Vibe Coding with Rust course equips learners with practical Rust programming skills while introducing AI-assisted development techniques to accelerate the coding process. Participants will learn the fundamentals of Rust, including variables, data types, functions, control structures, ownership, borrowing, error handling, and commonly used data structures, while using AI coding tools to generate, explain, debug, and refine Rust code.

The course emphasizes hands-on vibe coding, where learners translate ideas and functional requirements into working Rust applications through natural-language instructions, AI-generated code, rapid testing, and iterative improvement. Rather than focusing only on programming syntax, participants learn how to understand AI-generated code, identify errors, modify program logic, and validate that applications meet intended requirements.

Learners will gain practical experience in setting up the Rust development environment, creating and managing projects with Cargo, working with Rust modules and packages, handling program errors, and building functional command-line and application-based projects. AI coding assistants will be incorporated throughout the development workflow to support code generation, troubleshooting, refactoring, documentation, and testing.

By the end of the course, learners will be able to combine Rust programming fundamentals with AI Vibe Coding workflows to develop reliable applications more efficiently. The course is suitable for learners who want practical experience in modern software development using Rust and AI-assisted coding techniques.

Full Fee $800.00 Before GST

GST $72.00 9% of fee

Baseline Nett $472.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $312.00 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.

View on SkillsFuture for Business

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used.

Direct Application on SkillsFuture Portal

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year.

Submit UTAP Claim

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form, then submit the completed form to us:

PSEA Withdrawal Form Submit PSEA Form

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: Rust Programming Fundamentals and Software Components

Topic 2: AI Vibe Coding for Rust Application Development

Topic 3: Rust Programming Controls, Functions and Features

Topic 4: Testing, Debugging and Integrating Rust Components

Topic 5: AI-Assisted Rust Software Design and Documentation

Written Exam
Practical Exam

Course Info

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

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

Individual Sponsored Trainee

Employer Sponsored Trainee

Singapore Citizens or Singapore Permanent Residents
From 1 October 2023, attendance-taking for SWDA's (formerly SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.

Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
From 1 October 2023, attendance-taking for SWDA's (formerly SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

SkillsFuture Credit:

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

PSEA:

To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
Scroll down to "Keyword Tags" to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.
And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
Not all courses are eligible for PSEA funding.

Absentee Payroll (AP) Funding:

$4.50 per hour, capped at $100,000 per enterprise per calendar year.
AP funding will be computed based on the actual number of training hours attended by the trainee.

SFEC:

If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SWDA would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
SkillsFuture Enterprise Credit (SFEC) Microsite

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

Note

SWDA 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

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

Job Roles

Rust Developer
Software Developer
Systems Programmer
Backend Developer
Application Developer
Embedded Systems Developer
Command-Line Tool Developer
Game Developer
Software Architect
DevOps Engineer
Cybersecurity Analyst
Computer Science Educator
Developer moving from C or C++ to Rust
AI-Assisted Coding Practitioner

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.

Sin Fatt Choong is an Agile and Design Thinking strategist with extensive experience in software engineering, consulting, and organizational transformation. Over the past seven years, he has specialized in guiding businesses to adopt Scaled Agile practices and integrate customer-centric innovation frameworks. He is a certified Scrum Master, Product Owner, and Design Sprint Facilitator, as well as an ACTA-certified adult educator, bringing a wealth of practical expertise to his training. In his design thinking training, Sin Fatt leverages innovative learning techniques, including LEGO Serious Play and blended learning approaches, to engage participants in hands-on problem-solving. His workshops emphasize aligning business goals with customer needs, enabling organizations to discover opportunities, prototype solutions, and deliver value effectively. With his strong facilitation and coaching skills, Sin Fatt empowers businesses to cultivate an innovation mindset and integrate design thinking into their strategic and operational processes.

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 Vibe Coding with Rust,” Noel teaches participants how to leverage generative AI tools to accelerate Rust application development. His sessions focus on AI-guided code generation, debugging, and refactoring techniques to streamline Rust workflows. Through hands-on exercises building real command-line and application projects, he equips learners with the skills to validate AI-generated Rust code and ship reliable software that blends classical programming with modern AI-driven development approaches.

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 Vibe Coding with Rust,” Dr. Ang introduces learners to the convergence of artificial intelligence and systems programming. His sessions explore how AI coding assistants can enhance Rust coding efficiency, from generating and explaining code to testing and documentation. By combining academic rigor with hands-on experimentation, he guides participants to build reliable Rust applications that demonstrate the potential of AI in next-generation software development.