WSQ - Vibe Coding a Full Stack NoSQL Web Apps

Topic 1 Build a NoSQL Full Stack Web App Using Vibe Coidng
Topic 2 Deploy NoSQL Web App on the Cloud for data processing
Topic 3 Upload data to NoSQL database
Topic 4 Build a dashabor dot query NoSQL data

Final Assessment

• Written Assessment - Short Answer Questions (WA-SAQ)
• Practical Performance (PP)

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:

• MongoDB

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

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

• SSG 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

1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. 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.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
9. The assessor can help the candidate with writing and lodging the appeal.
10. he assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.

• 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

Mohamed Afiq: 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 NoSQL training, Afiq emphasizes the practical use of document-based and key-value databases such as MongoDB and Redis. His sessions guide learners through database design, CRUD operations, and integration with applications, ensuring they understand both the theory and real-world implementation of NoSQL systems. By combining entrepreneurial experience with technical expertise, he helps participants confidently apply NoSQL in scalable web and enterprise applications.

Ken Hiong: Ken Hiong is an ACLP-certified trainer with over 15 years of experience in business analytics, financial planning, and data systems. He has held regional finance and analytics roles at Pfizer and SciGen, where he used SQL and NoSQL-driven dashboards for market analysis, variance modeling, and forecasting. As an associate trainer with Tertiary Courses, he has delivered programs in Excel VBA, Power BI, SQL, and automation, helping learners strengthen their data management capabilities.

In his NoSQL courses, Ken introduces beginners to the concepts of non-relational databases, including schema flexibility, indexing, and scalability. His training covers real-world use cases where NoSQL systems outperform traditional relational databases, particularly in handling unstructured and large-scale datasets. With his combined industry and training expertise, Ken ensures participants gain the confidence to use NoSQL tools effectively for business and analytics applications.

Dr Alvin Ang: 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 NoSQL training, Dr Ang focuses on helping learners understand the principles of distributed and non-relational databases in modern AI and data science workflows. His sessions cover working with document, columnar, and graph-based databases, as well as integrating NoSQL systems into machine learning pipelines. By combining academic depth with applied projects, he equips learners with both the conceptual understanding and practical skills to leverage NoSQL databases for advanced analytics and scalable applications.

Lim Fang Cheng Fritz: 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 “Mastering NoSQL Fundamentals for Beginners,” Fritz introduces learners to the core concepts of NoSQL database design, data modeling, and query optimization. His sessions focus on understanding document-oriented, key-value, and graph-based databases, providing participants with the knowledge to choose and implement the right database type for various applications. Through guided exercises and real-world examples, he equips learners with the skills to store, manage, and analyze unstructured data effectively using modern NoSQL technologies.

Terence Ee: Terence Ee is an IT consultant and data management specialist with over 20 years of experience in software development, business intelligence, and database administration. Having led enterprise-level digital transformation and automation projects, he brings deep expertise in relational and non-relational database systems, including MongoDB, Cassandra, and Redis. Terence’s passion for teaching stems from his ability to simplify complex database concepts, helping learners understand how data architecture underpins scalable and efficient applications.

In “Mastering NoSQL Fundamentals for Beginners,” Terence guides participants through the practical implementation of NoSQL databases, emphasizing flexibility, scalability, and performance optimization. His sessions cover schema design, CRUD operations, indexing, and aggregation pipelines, helping learners build real-world database solutions. By integrating best practices and hands-on projects, he empowers participants to confidently work with NoSQL technologies and apply them to web applications, data analytics, and cloud-based solutions.