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
Promotion Code
Promo or discount cannot be applied to WSQ courses
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 can download and install the following software:
Hardware: Windows and 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 of age 21 and above
- 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
- Log in to your U Portal account to submit your UTAP application upon completion of the course.
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
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.
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.
Review
Customer Reviews (4)
- will recomend Review by Course Participant/Trainee
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. (Posted on 9/27/2024)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 - might recommend Review by Course Participant/Trainee
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. (Posted on 9/8/2023)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 - Generally happy with the trainer Review by Course Participant/Trainee
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The aricon a bit cold.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
Generally happy with the trainer (Posted on 7/8/2022) - Learnt basic MongoDB .. Thank Review by Course Participant/Trainee
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Better to have examples with front end and back end .. (Posted on 1/19/2022)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
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