Course Information

  • 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.

Skills Framework

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

Funding Validity

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.

Learning Outcomes

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.

Course Brochure

Certification

  • 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
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What's This Course About

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.

This course is part of our AI training in Singapore, where you can browse all our AI courses. See more AI vibe coding courses.

WSQ Funding

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 companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

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 FormSubmit PSEA Form

Course FeeBefore Funding

₵9,600.00 (GST-exclusive)
₵10,464.00 (GST-inclusive)

Course Date

* Required Fields

Additional Note

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

Post-Course Support

  • 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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

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

Assessment

  • Written Exam
  • Practical Exam

Course Info

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:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

Funding Eligibility Criteria

Self-sponsored learners (individuals)

  • Singapore Citizens and Singapore Permanent Residents aged 21 and above.
  • Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
  • Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.

Company-sponsored learners

  • Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
  • Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
  • Employers can also claim Absentee Payroll funding for employees who attend during working hours.
  • Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

  • Attendance is taken digitally with Singpass for every session, including the assessment.
  • You must complete the course and pass all assessments (assessed as Competent).
  • If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
  • 9% GST is charged on the full course fee before funding.
  • Promo and discount codes cannot be used on funded courses.
  • Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA), or partly reimbursed by UTAP for NTUC members.

How to Apply SkillsFuture Credit Claim for Individuals

Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.

  1. Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
  2. We email you an invoice showing the course fee after funding.
  3. From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
  4. Click Submit a Claim and search for this course by its course code, TGS-2023039924.
  5. Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
  6. Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.

Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

  • Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
  • SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
  1. Check your company's SFEC eligibility and balance on EnterpriseSG.
  2. Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
  3. Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
  4. No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

How to Apply UTAP (NTUC Members)

NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.

Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.

  1. Make sure your NTUC membership is paid up before the course starts.
  2. Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
  3. Attend at least 75% of the course and sit all assessments.
  4. Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
  5. Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
  6. NTUC usually pays the claim within 4 weeks of submission.

Read more in our UTAP guide.

How to Apply PSEA

Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.

  1. Check that this course shows the PSEA tag on its MySkillsFuture page.
  2. Check your PSEA balance on MOE's Student Finance System with Singpass.
  3. Download and complete the PSEA withdrawal form, then submit it to us.
  4. We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
  5. MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.

More details: MOE PSEA overview.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

  1. When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
  2. Discuss the decision with the assessor or the assessment manager first.
  3. If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
  4. Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
  5. An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
  6. You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

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

Trainers

Dr. Alfred Ang's engineering background includes work in the defence, electronics and semiconductor industries, close to the hardware, which gives him a natural appreciation for a systems language like Rust and its focus on safety and performance. He holds a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a B.Sc (Hons) in Physics from NUS, and he has published more than 20 peer-reviewed papers and co-invented more than 20 US patents. Today he is a full-stack AI developer and Agentic AI solution architect whose work spans system architecture, security, observability and performance optimisation, and he serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. He is CompTIA Security+ certified and an AWS Certified Solutions Architect. His 300+ public GitHub repositories span web platforms, native iOS and Android apps and AI agent systems. They include published Claude Code skill collections for tasks such as auto-detecting and starting any app, generating README files, pushing to Docker Hub and scanning for secrets, as well as tertiarytraining, a platform that runs Docker-based Ubuntu, WordPress and Kali Linux labs in the browser with on-demand start and stop and idle auto-shutdown. Together they reflect wide experience across many languages and environments. He also holds a Graduate Diploma in Intelligent Robotics Systems from NUS-ISS and is a Microsoft Certified AI Engineer Associate (AI-102).

This WSQ course teaches Rust programming while using AI coding tools to accelerate learning, and Dr. Ang is clear from the start that the two must work together: the AI can generate and explain Rust code, but learners still need to understand why the compiler accepts or rejects it. The first topic covers Rust fundamentals and software components, including variables, data types and functions. Learners then practise vibe coding Rust applications, translating functional requirements into working programs through natural-language prompts and iterating on the results. The third topic explores control structures, functions and Rust's distinctive features, with particular attention to ownership and borrowing, the concepts that most often confuse newcomers and where an AI assistant's explanations are most valuable. Testing, debugging and integrating Rust components follow, with learners writing unit tests and using compiler messages and AI guidance together to fix errors. The course closes with AI-assisted software design and documentation, producing clear structures and readable documentation for their code. He brings his broader experience in systems architecture, security and AI-assisted development to the language, and as an ACTA-certified trainer and DACE-certified curriculum developer he teaches it through carefully structured, hands-on labs aligned to the WSQ assessment. Learners leave with working Rust applications and the confidence to keep going. He also shows learners how to ask an assistant to compare a Rust approach with one in a language they already know. View his projects on his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Richard Wan is an ACLP-certified trainer and veteran technologist with more than 40 years of experience in software, hardware and embedded systems development, spanning AI, machine learning and computer vision. He holds an M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin-Madison, has co-founded technology companies and consulted for multinational clients, and has led AI-driven software development in healthcare, defence and manufacturing. He has conducted WSQ and corporate training in C, C++ and electronics, and has taught machine learning, deep learning and computer vision.

In WSQ AI Vibe Coding with Rust, Richard grounds learners in the Rust fundamentals that make AI-generated code safe to trust: data types, functions, control structures, ownership, borrowing and error handling. Participants use AI vibe coding to develop Rust applications, apply Rust controls, functions and features, test, debug and integrate Rust components, and produce AI-assisted software design and documentation. Drawing on decades of systems and embedded work, he shows how to read, question and refine what an AI coding assistant produces. Participants leave with Rust proficiency and the computational thinking to judge generated code.

Noel Lou is an embedded systems engineer and educator with over 15 years of expertise in C programming, IoT development and robotics integration, and a strong interest in bridging electronics, coding and AI-assisted design. 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 simplifying complex programming and hardware integration concepts, making them accessible to learners from diverse technical backgrounds, and his passion for teaching centres on fostering innovation and creativity.

In WSQ - AI Vibe Coding with Rust, Noel teaches participants how to use generative AI tools to accelerate Rust application development. Learners cover Rust programming fundamentals and software components, then apply AI vibe coding to Rust application development. They work through Rust controls, functions and features such as ownership, borrowing and error handling, then test, debug and integrate Rust components, and finish with AI-assisted software design and documentation. His sessions focus on AI-guided code generation, debugging and refactoring, with hands-on command-line and application projects. Learners leave able to validate AI-generated Rust code and ship reliable software that blends classical programming with modern AI-driven development.

Choong Sin Fatt is an ACTA-certified trainer, Agile strategist and software engineering consultant with decades of experience in software engineering and more than seven years of consulting on Scaled Agile practices. His expertise covers curriculum design, agile transformation and technology adoption, and he has trained professionals across industries in problem-solving, design thinking and modern development methodologies. He is also a certified Scrum Master, Product Owner and Design Sprint Facilitator, known for aligning technical work with business goals and customer needs through hands-on, practical learning techniques.

In this WSQ course, Sin Fatt emphasises structured problem-solving and turning functional requirements into working Rust applications with AI assistance. Learners cover Rust programming fundamentals and software components, apply AI vibe coding to Rust application development, and work through programming controls, functions and features. They then test, debug and integrate Rust components and use AI to support software design and documentation. He guides participants through Cargo projects, modular program design and debugging AI-generated code, while embedding agile and design thinking principles throughout. Learners leave understanding the technical side of Rust and with an adaptable, innovative mindset for AI-assisted software development.

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