WSQ - Microsoft Azure AI Fundamentals (AI-900)

Topic 1: Get started with AI and AutoML on Azure

• Introduction to AI 
• Understand machine learning 
• Challenges and risks with AI 
• Understand Responsible AI 
• Understand computer vision 
• Understand natural language processing 
• Understand anomaly detection 
• Understand knowledge mining 
• What is Azure Machine Learning studio? 
• What is Azure Automated Machine Learning? 
• Understand the AutoML process 
• Use Automated Machine Learning in Azure Machine Learning 

Topic 2: Computer Vision and Natural Language Processing

• Analyze Images with Computer Vision Service
• Classify Images with Computer Vision Service 
• Detect Objects with Computer Vision Service 
• Detect and Analyze Faces with Face Service 
• Read Text with Optical Character Recognition API 
• Get Started with Text Analytics on Azure 
• Recognize and Synthesize Speech 
• Translate Text and Speech 
• Create a Language Model with Language Understanding
• Build a bot with the Language Service and Azure Bot Service 

Topic 3: Anomaly Detector

• How anomaly detector works 
• When to use anomaly detector
• Create anomaly detector on Azure 

Topic 4: Knowledge Mining and Cognitive Search

• What is Azure Cognitive Search? 
• Use a skillset to define an enrichment pipeline
• Understand indexes
• Use an indexer to build an index
• Persist enriched data in a knowledge store
• Create an index in the Azure portal
• Query data in an Azure Cognitive Search index

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
• 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

Quah Chee Yong (QCY) - Quah Chee Yong is a WSQ ACLP-certified trainer and data science professional with strong expertise in AI, NLP, and machine learning. He has led AI and data science training initiatives under SAP’s SGUnited Mid-Career Pathways Programme and Sustainable Living Lab, covering predictive analytics, NLP, and AI for business applications. His career spans both start-ups and multinational companies, where he developed recommender systems, chatbots, and digital assistants, combining technical knowledge with applied business solutions.

As a trainer, QCY has delivered AI programs for learners ranging from youths to working professionals, focusing on practical, no-code and low-code applications of AI. In this course, he guides participants in understanding Azure AI services, machine learning concepts, and responsible AI principles, making advanced AI adoption accessible even to non-technical learners. His learner-focused approach ensures that participants can confidently apply AI-900 fundamentals to real-world business scenarios.

Dwight Nuwan Fonseka - Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an experienced trainer specializing in R, Python, and AI applications. With extensive experience developing predictive models, RShiny dashboards, and deep learning solutions using Keras and TensorFlow, Dwight applies AI techniques across domains including healthcare, finance, and customer analytics. As an ACLP-certified trainer, he has delivered a wide range of AI-focused programs such as R Data Mining, R for Deep Learning, and Machine Learning workflows for industry applications.

In this program, Dwight brings his applied expertise in building and deploying AI models to guide learners through Azure AI Fundamentals. He emphasizes hands-on exploration of Azure Cognitive Services, responsible AI, and machine learning pipelines, enabling participants to understand both the concepts and the cloud-based implementation of AI. His approach ensures professionals gain practical, industry-relevant insights into leveraging Azure AI for business transformation.

Sanjiv Venkatram - Sanjiv Venkatram is a Microsoft Most Valuable Professional (MVP), Microsoft Certified Trainer (MCT), and CEO of Prudentia Consulting, with over 20 years of experience in digital transformation across North America and Asia-Pacific. He has successfully implemented Microsoft Power Platform, Azure, and SharePoint solutions for industries including manufacturing and security, achieving significant improvements in efficiency and cost reduction. As co-founder of the Microsoft Business Applications and Power Platform Community in Singapore, he has also been instrumental in building a thriving regional network of over 1,000 members.

As a corporate trainer, Sanjiv has delivered Microsoft courses across Power Platform, Azure, Teams, and M365, equipping professionals with both technical expertise and business context. In this AI-900 course, he focuses on helping learners understand Azure AI services, responsible AI, and the foundations of cloud-based AI adoption. His unique blend of technical mastery, consulting expertise, and community leadership ensures participants walk away with both confidence and clarity in applying AI fundamentals in their organizations.