WSQ - Develop Generative AI Apps in ​Azure AI Foundry (AI-3016)

Topic 1: Get Started on Azure AI Foundry

• Plan and prepare to develop AI solutions on Azure
• Choose and deploy models from the model catalog in Azure AI Foundry portal

Topic 2: Azure AI SDK and Prompt Flow

• Develop an AI app with the Azure AI Foundry SDK
• Get started with prompt flow to develop language model apps in the Azure AI Foundry

Topic 3: Create RAG and Agent Apps

• Develop a RAG-based solution with your own data using Azure AI Foundry
• Develop an AI Agent in Azure AI Foundry

Topic 4: Fine Tuning LLM Model and Evaluate Model Performance

• Fine-tune a language model with Azure AI Foundry
• Implement a responsible generative AI solution in Azure AI Foundry
• Evaluate generative AI performance in Azure AI Foundry portal

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 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 Year Group : 21-65 years old

Minimum Software/Hardware Requirement

Software:

You need to sign up a Azure account (Credit Card is required).

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.

• AI Developer
• Machine Learning Engineer
• AI Solutions Architect
• Data Scientist
• Azure AI Engineer
• Software Developer
• AI Product Manager
• Data Engineer
• Prompt Engineer
• Cloud AI Consultant
• Application Developer
• R&D Engineer (AI)
• Technical Consultant (AI)
• Business Intelligence Analyst
• Innovation Manager
• Systems Analyst
• Tech Project Manager
• Automation Engineer
• AI Research Assistant
• Solution Developer

Solomon Soh Zhe Hong – Solomon is a Certified AI Engineer specializing in deep learning, reinforcement learning, and natural language processing. With hands-on expertise in AI model development and deployment, he has conducted projects that integrate generative AI techniques into real-world business applications. As a trainer, his mission is to equip learners with both the technical depth and applied skills required to build AI-powered solutions. His current focus areas include Generative AI, large language models (LLMs), and AI-driven application design.

Solomon has practical experience in AI development and applied research, working with advanced machine learning frameworks to deliver scalable solutions. He is well-versed in applying AI techniques to domains such as automation, customer engagement, and analytics. His training approach emphasizes hands-on coding, applied labs, and project-based learning, ensuring learners gain confidence in developing Generative AI apps on Azure AI Foundry.

Sanjiv Venkatram – Sanjiv is an accomplished consultant and trainer with rich expertise in business intelligence, data analytics, and CRM systems. He has delivered large-scale projects in industries including financial planning, manufacturing, and education, where he has applied Microsoft technologies and data visualization tools such as Power BI. His mission as a trainer is to simplify complex systems for learners, enabling them to design and implement effective digital solutions.

In the Azure AI Foundry training, Sanjiv leverages his data analytics and business applications experience to guide learners in applying Generative AI tools for real-world use cases. He emphasizes the integration of AI into enterprise workflows, helping participants design solutions that improve productivity and enhance decision-making. His sessions combine conceptual clarity with interactive labs, ensuring learners gain practical experience alongside theoretical knowledge.

Alfred Yap Swee Leong – Alfred Yap is a highly experienced trainer and ICT consultant with decades of expertise in cybersecurity, cloud computing, and enterprise technologies. He has conducted ICT-related training across multiple domains, helping organizations adopt cutting-edge digital tools. His mission as a trainer is to bridge emerging technologies like Generative AI with organizational needs, empowering learners to harness innovation effectively.

For the WSQ – Develop Generative AI Apps in Azure AI Foundry program, Alfred draws on his strong background in cloud systems and secure digital infrastructure. He equips learners with the skills to design, deploy, and manage AI-driven solutions on Azure, while emphasizing governance and security best practices. His structured, hands-on teaching style ensures participants are prepared to apply Generative AI models in production-ready business applications.