Course Information

  • Sessions 1 day
  • Duration 8 hrs
  • Level Beginner
  • Assessment 1 hr

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
Data Engineering
TSC Code
ICT-DES-3008-1.1

Funding Validity

Funding for this course is valid from 15 Feb 2021 to 14 Feb 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: Apply data modelling
  • LO2: Apply data processing and analysis
  • LO3: Apply data aggregation and transformation.
  • LO4: Perform data mapping to data warehouse

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 for SQL

Course Code: TGS-2021002619
  • WSQ
  • SFC
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES
Share

What's This Course About

AI Vibe Coding for SQL equips learners with practical skills to design, query and manage relational databases using natural-language instructions and AI coding assistants. Participants will learn how to translate business and application requirements into database structures and working SQL statements without having to write every command manually.

The course covers essential SQL concepts, including tables, relationships, data types, primary and foreign keys, data insertion, filtering, sorting, joins, aggregation and subqueries. Learners will use AI-assisted workflows to generate, explain, refine and optimise SQL queries for common data management and reporting tasks.

Through hands-on exercises, participants will create relational database schemas, import and organise data, perform CRUD operations and connect databases to applications and interactive dashboards. They will also apply AI tools to troubleshoot query errors, identify data-quality issues and recommend improvements to database performance.

Emphasis is placed on validating AI-generated SQL for accuracy, efficiency and security. By the end of the course, participants will be able to use AI Vibe Coding techniques to develop database solutions, analyse structured data and produce meaningful reports that support business and application needs.

WSQ Funding

Full Fee $350.00 Before GST
GST $31.50 9% of fee
Baseline Nett $206.50 SG/PR age 21+ · 50% funded
MCES / SME Nett $136.50 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

Course FeeBefore Funding

$350.00 (GST-exclusive)
$381.50 (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: AI-Assisted SQL Data Modelling and Database Design

Topic 2: SQL Data Processing, Querying and Analysis

Topic 3: SQL Data Aggregation and Transformation

Topic 4: Data Mapping, Warehousing and Dashboard Development

Assessment

  • Written Exam
  • Practical Exam

Course Info

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.

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, 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-2021002619.
  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.

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

  • Database Administrator
  • Data Analyst
  • Business Analyst
  • Systems Analyst
  • IT Support Specialist
  • Back-End Developer
  • Report Developer
  • Data Scientist (beginner level)
  • Financial Analyst (working with databases)
  • CRM Administrator
  • ERP Specialist
  • Marketing Analyst
  • HRIS Specialist
  • Product Manager (data-driven products)
  • Technical Project Manager

Trainers

Trainers

Mohamed Afiq is a software engineer, entrepreneur, and Forbes 30 Under 30 Asia 2021 honoree in enterprise technology. As co-founder and senior engineering manager at Janio Asia, he built logistics and e-commerce systems that handled more than 20,000 daily deliveries, leveraging NoSQL databases for scalability and performance. He has also delivered training programs in JavaScript, React, databases, and cloud systems, equipping learners with the technical skills needed to thrive in modern software environments.
In his SQL training, Afiq emphasizes the practical use of relational databases such as MySQL and PostgreSQL. His sessions guide learners through AI-assisted database design, CRUD operations, and integration with applications, ensuring they understand both the theory and real-world implementation of relational database systems. By combining entrepreneurial experience with technical expertise, he helps participants confidently apply SQL in scalable business and enterprise applications.

Ken Hiong is a ACTA certified trainer. Ken has over 20 years of work experience in the healthcare and pharmaceutical industry, having assumed various functional and managerial roles in sales, marketing, business development, finance, business analysis and planning. With an interest and experience in scripting, Ken has worked on projects using HTML, CSS, PHP, MySQL, WordPress, MS Office, VBA, Power BI, etc. Notably, Ken is a proven expert Excel user at work who has made efficient many work processes, improved data analysis and enhanced the quality of business planning and reporting for organizations. Ken graduated with a Pharmacy degree, holds a Master of Business Administration from the National University of Singapore and a Master of Applied Finance from the University of Adelaide. An ardent advocate of lifelong learning, Ken is ACTA trained and seeks to continually upgrade his IT skills through various channels of learning and Microsoft certifications. With MS Office Master qualification, Ken looks forward to assisting individuals and corporations improve their computer skills, productivity and business outcomes.

Dr Alvin Ang is an ACLP-certified trainer with a Ph.D. in Operations Research from Nanyang Technological University and more than a decade of experience in data science, machine learning, and database systems. He has taught at NTU, SUSS, Curtin University, and SP Jain School of Global Management, and also served as an IBM Data Science Instructor. His certifications include Python, R, TensorFlow, and advanced data analytics, complemented by his role as founder of DataFrens.sg, an open-source data science community.
In his SQL training, Dr Ang focuses on helping learners understand the principles of relational databases in modern AI and data science workflows. His sessions cover data modelling, querying, and aggregation, as well as integrating SQL databases into analytics and machine learning pipelines with AI coding assistants. By combining academic depth with applied projects, he equips learners with both the conceptual understanding and practical skills to leverage SQL databases for advanced analytics and scalable applications.

Lim Fang Cheng Fritz is a data engineer and software developer with extensive experience in database design, data analytics, and software architecture. With a strong background in Python, SQL, and NoSQL systems, he has worked on data-driven projects involving cloud-based databases, distributed storage, and API integration. Fritz has applied his expertise in both academic and industry settings, designing scalable solutions using MongoDB, Firebase, and DynamoDB to optimize data retrieval and system performance. His teaching emphasizes practical, hands-on learning backed by solid theoretical understanding of modern data systems.
In “AI Vibe Coding for SQL,” Fritz introduces learners to the core concepts of relational database design, data modeling, and query optimization. His sessions focus on understanding tables, relationships, and keys, providing participants with the knowledge to design and implement the right database schema for various applications. Through guided exercises and real-world examples, he equips learners with the skills to store, manage, and analyze structured data effectively using SQL and modern AI coding assistants.

Terence Ee is an experienced IT leader and consultant with more than 25 years of expertise in technology management, information systems, and digital transformation. He has served as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led major IT modernization projects. Since 2017, he has worked as an independent consultant and ACLP-certified trainer, specializing in guiding SMEs and enterprises in adopting future-ready digital platforms. As a WSQ-accredited trainer, Terence delivers programs in digital collaboration, IT governance, and productivity tools. His facilitation emphasizes case studies, simulations, and hands-on practice, enabling learners to apply modern IT systems such as Microsoft 365 and Google Workspace to improve collaboration and business efficiency. With his leadership background and deep IT expertise, Terence prepares learners to thrive in digitally transforming environments.

Review

Customer Reviews (4)

will recomend Review by Course Participant/Trainee
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
. (Posted on 9/27/2024)
might recommend Review by Course Participant/Trainee
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
. (Posted on 9/8/2023)
Generally happy with the trainer Review by Course Participant/Trainee
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
The aricon a bit cold.
Generally happy with the trainer (Posted on 7/8/2022)
Learnt basic MongoDB .. Thank Review by Course Participant/Trainee
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
Better to have examples with front end and back end .. (Posted on 1/19/2022)

Write Your Own Review

You're reviewing: WSQ - AI Vibe Coding for SQL

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
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