WSQ - Microsoft Certified Azure AI Engineer Associate (AI-102) Training

LU1 Introduction to Microsoft Azure AI Applications

Topic 1 Get started with Azure AI Services
Topic 2 Create computer vision solutions with Azure AI Vision

LU2 Evaluate Microsoft Azure AI Applications

Topic 3 Develop natural language processing solutions with Azure AI Services
Topic 4 Implement knowledge mining with Azure AI Search

LU3 Develop Azure AI Solutions

Topic 5 Develop solutions with Azure AI Document Intelligence
Topic 6 Develop Generative AI solutions with Azure OpenAI Service

Final Assement 

• 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
• Cloud Solutions Architect
• Data Scientist
• Machine Learning Engineer
• Azure AI Engineer
• Cloud Technical Specialist
• Data Analyst
• AI Solutions Architect
• Business Intelligence Developer
• IT Project Manager (focused on AI initiatives)
• DevOps Engineer (with AI integration)
• Software Developer (seeking AI capabilities)
• Technical Consultant (Azure-focused)
• Innovation Manager
• Cloud Product Manager

Sanjiv Venkatram - Sanjiv Venkatram is a Microsoft Most Valuable Professional (MVP), Microsoft Certified Trainer (MCT), and Microsoft Certified Educator, with over 20 years of experience in enterprise application integration and AI-driven digital transformation. As CEO of Prudentia Consulting, he has successfully implemented Microsoft Power Platform and Azure AI solutions across industries, achieving significant process efficiency and cost savings. He is also co-founder of the Microsoft Business Applications and Power Platform Community in Singapore, which has grown into a vibrant APAC network of over 1,000 members.

As a corporate trainer, Sanjiv has delivered Microsoft courses on Azure, Power Platform, Teams, and AI services. In this AI-102 program, he equips learners with practical skills in Azure Cognitive Services, Knowledge Mining, Conversational AI, and AI solution deployment. His blend of consulting expertise and community leadership ensures participants gain not only certification readiness but also the applied knowledge to build AI solutions that deliver measurable business outcomes.

Alec Tan - Alec Tan is a technology professional and trainer with strong expertise in cloud computing, AI adoption, and enterprise IT systems. With hands-on experience in deploying AI solutions and guiding organizations through digital transformation, Alec has worked on projects that integrate Azure AI services with business processes to enhance efficiency and decision-making. His teaching experience covers both cloud infrastructure and applied AI, making him adept at bridging technical depth with real-world business applications.

As an ACLP-certified trainer, Alec focuses on enabling learners to understand and apply Azure AI engineering concepts in a practical context. In this program, he provides structured guidance in machine learning pipelines, natural language processing, computer vision, and conversational AI using Azure. His pragmatic teaching style ensures participants can confidently translate AI-102 knowledge into solutions that address organizational needs.

Quah Chee Yong (QCY) - Quah Chee Yong is a data science trainer and AI specialist, with a strong background in machine learning, NLP, and predictive analytics. He has served as Data Science Training Lead for SAP’s SGUnited program, where he developed and delivered AI and machine learning curricula for mid-career professionals. His experience spans start-ups and multinational companies, where he built digital assistants, recommender systems, and chatbot solutions.

In this course, QCY emphasizes applied learning in Azure Cognitive Services, AI model integration, and responsible AI practices. His training combines theory with hands-on exercises, ensuring learners can confidently design, deploy, and monitor Azure AI solutions. With his extensive experience in teaching AI to diverse audiences, QCY ensures participants not only pass the AI-102 certification but also apply AI responsibly and effectively in their workplaces.

Kishan Raaj - Kishan Raaj is an AI and data analytics practitioner specializing in cloud-based AI solutions, predictive modeling, and machine learning deployment. He has worked with organizations to design and implement AI-powered applications that enhance decision-making, operational efficiency, and customer engagement. His expertise includes building end-to-end machine learning workflows, integrating Azure AI services, and applying AI for industry-specific use cases.

As an experienced trainer, Kishan focuses on making advanced AI concepts accessible to learners of varying technical backgrounds. In this AI-102 program, he guides participants through Azure Bot Services, Knowledge Mining, AI orchestration, and best practices for deploying AI at scale. His learner-centered approach ensures participants develop both technical proficiency and the confidence to apply AI skills in real-world scenarios.

Dwight Nuwan Fonseka - Dwight Nuwan Fonseka is the Head of Data Science at Plano Pte. Ltd. and a seasoned trainer with deep expertise in R, Python, deep learning, and AI applications. He has developed AI solutions in healthcare, finance, and customer analytics using platforms such as TensorFlow, Keras, H2O.ai, and RShiny. As an ACLP-certified trainer, Dwight has delivered a wide range of AI-focused programs, including machine learning, predictive analytics, and deep learning courses, making him highly experienced in applied AI training.

In this program, Dwight brings his applied expertise to Azure AI services, ML pipelines, and AI governance, preparing learners for both the AI-102 certification and workplace adoption. His hands-on teaching style emphasizes real-world scenarios, ensuring learners understand not only the technical mechanics but also the ethical and operational aspects of deploying AI in production environments. By combining technical mastery with practical industry insights, Dwight ensures participants are ready to apply Azure AI solutions effectively.