Course Information

  • Sessions 2 days
  • Duration 16 hrs
  • Level Beginner to Intermediate
  • 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.

Funding Validity

Funding for this course is valid from 19 Oct 2026 to 18 Oct 2028. 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: Explain vibe coding concepts, AI-assisted intent-driven workflows, and how a mobile application is put together across client-side and server-side components.
  • LO2: Create nuanced and strategic prompts that optimise AI model performance, combining different methodologies and applying task decomposition to structure complex build requests.
  • LO3: Apply prompting methodologies to generate and refine mobile screens and application logic, and integrate backend services and application programming interfaces.
  • LO4: Set up appropriate testing conditions and define test cases and technical criteria to evaluate and test mobile application performance.
  • LO5: Diagnose and optimise underperforming prompts and generated code, adjusting approach based on the results returned to improve output quality.
  • LO6: Evaluate the ethical principles an AI-assisted development project should integrate and the framework required to drive responsible AI development, and determine the safeguards for deploying AI-generated code.

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.

CASL - AI Vibe Coding for iOS and Android Apps

Course Code: TGS-2026066894
  • CASL
  • SFEC
  • Absentee Payroll
  • MCES
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What's This Course About

This course equips learners with the practical skills to build mobile applications using vibe coding, an AI-assisted approach in which working software is produced from natural language instruction.

Learners will first understand vibe coding concepts, AI-assisted intent-driven workflows, and how mobile applications are structured across client-side and server-side components. They will then create nuanced and strategic prompts that optimise AI model performance, combining prompting methodologies and applying task decomposition to structure complex build requests.

The course covers the generation and refinement of mobile screens and application logic, as well as the integration of backend services and application programming interfaces. Learners will also set up appropriate testing conditions, define test cases and technical criteria, evaluate application performance and data transfer integrity, and interpret test results to determine whether a build is fit to release.

Learners will diagnose and optimise underperforming prompts and generated code by adjusting their approach based on the results returned, and develop a repeatable improvement cycle. The course also covers ethical principles for AI-assisted development, responsible AI development frameworks, data governance, security and privacy, and safeguards including human review before AI-generated code reaches production.

Designed for beginner to intermediate learners, this course suits aspiring mobile developers, IT professionals, product practitioners and business technologists. No prior mobile development experience is required.

CASL Funding

Full Fee $1,000.00 Before GST
GST $90.00 9% of fee
Baseline Nett $590.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $390.00 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

Course FeeBefore Funding

$1,000.00 (GST-exclusive)
$1,090.00 (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 Vibe Coding and Mobile App Architecture

Vibe coding concepts and AI-assisted, intent-driven workflows

How a mobile app is put together: client-side and server-side components

Setting up an AI-assisted build environment for iOS and Android apps

Topic 2 Strategic Prompting for Mobile App Builds

Creating nuanced and strategic prompts that optimise AI model performance

Combining prompting methodologies

Applying task decomposition to structure complex build requests

Topic 3 Generating Mobile Screens, App Logic and Backend Integration

Generating and refining mobile screens with AI

Building and refining application logic

Integrating backend services and application programming interfaces (APIs)

Topic 4 Testing Mobile App Performance

Setting up appropriate testing conditions

Defining test cases and technical criteria

Evaluating app performance and data transfer integrity, and deciding if a build is fit to release

Topic 5 Diagnosing and Optimising Prompts and Generated Code

Diagnosing underperforming prompts and generated code

Adjusting the approach based on the results returned

Developing a repeatable improvement cycle

Topic 6 Responsible AI-Assisted Development

Ethical principles for AI-assisted development and responsible AI frameworks

Data governance, security and privacy

Safeguards for deploying AI-generated code, including human review before production

Assessment

  • Written Exam
  • Practical Exam

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate 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: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop, plus an iOS or Android smartphone for testing your apps

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).

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.

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.

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

  • Aspiring Mobile App Developer
  • Mobile App Developer
  • Software Developer
  • Web Developer
  • IT Professional
  • Product Manager
  • Product Owner
  • Business Analyst
  • Business Technologist
  • Startup Founder
  • Entrepreneur

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