Course Details
Course Details
What You'll Learn
Topic 1: Plan and Manage an Azure AI Solution
Topic 2: Implement Generative AI and Agentic Solutions
Topic 3: Implement Computer Vision Solutions
Topic 4: Implement Text Analysis Solutions
Topic 5: Implement Information Extraction Solutions
Assessment
- Written Exam
- Practical Exam
Course Info
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 will need the following for this course:
- A free Microsoft Azure account – a credit card is required for identity verification
Hardware: Windows PC or Mac laptop
Funding Eligibility Criteria
Self-sponsored learners (individuals)
- Singapore Citizens and Singapore Permanent Residents aged 21 and above.
- Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
- Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.
Company-sponsored learners
- Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
- Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
- Employers can also claim Absentee Payroll funding for employees who attend during working hours.
- Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).
Conditions for all funded learners
- Attendance is taken digitally with Singpass for every session, including the assessment.
- You must complete the course and pass all assessments (assessed as Competent).
- If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
- 9% GST is charged on the full course fee before funding.
- Promo and discount codes cannot be used on funded courses.
- Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA), or partly reimbursed by UTAP for NTUC members.
How to Apply SkillsFuture Credit Claim for Individuals
Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.
- Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
- We email you an invoice showing the course fee after funding.
- From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
- Click Submit a Claim and search for this course by its course code, TGS-2023036651.
- Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
- Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.
Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.
How to Apply SkillsFuture Enterprise Credit (SFEC)
SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.
Current SFEC: classes ending on or before 30 November 2026
- Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
- SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
- Check your company's SFEC eligibility and balance on EnterpriseSG.
- Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
- Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
- No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.
Any unused balance of the current SFEC expires on 30 November 2026.
Redesigned SFEC from 1 December 2026
Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.
How to Apply UTAP (NTUC Members)
NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.
Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.
- Make sure your NTUC membership is paid up before the course starts.
- Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
- Attend at least 75% of the course and sit all assessments.
- Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
- Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
- NTUC usually pays the claim within 4 weeks of submission.
Read more in our UTAP guide.
How to Apply PSEA
Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.
- Check that this course shows the PSEA tag on its MySkillsFuture page.
- Check your PSEA balance on MOE's Student Finance System with Singpass.
- Download and complete the PSEA withdrawal form, then submit it to us.
- We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
- MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.
More details: MOE PSEA overview.
Appeal Process
If you disagree with an assessment decision, you have the right to appeal.
- When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
- Discuss the decision with the assessor or the assessment manager first.
- If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
- Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
- An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
- You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.
Job Roles
Job Roles
- 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
Trainers
Trainers
Dr. Alfred Ang is a Microsoft Certified AI Engineer Associate (AI-102) and Data Scientist (DP-100), so the Azure AI services in this course are familiar territory for him as both a practitioner and a trainer. He is a full-stack AI developer and Agentic AI solution architect specialising in multi-agent systems, conversational AI and voice and video agents, and serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. His wider credentials include Power BI Data Analyst (PL-300), Power App Maker (PL-100), AWS Certified Solutions Architect and AI Practitioner, CompTIA Security+ and a Certificate in AI Ethics and Governance (Senior Professional) from NTU, together with a PhD in Electrical Engineering from NUS. He works across agent frameworks including Microsoft AutoGen, the OpenAI Agents SDK, the Claude Agent SDK, the Google Gemini Agent SDK, CrewAI, n8n, Langflow and Flowise. His 300+ public GitHub repositories reflect the same mix of capabilities this course covers: RAG chatbots built with n8n that ingest course brochures into Supabase, Pinecone or Qdrant; an offline iOS document scanner with on-device OCR, an everyday example of information extraction; a digital-human service that builds voice-enabled avatars trained on an organisation's content; and a talking-avatar demo that turns a portrait and a script into lip-synced video. He has published more than 20 peer-reviewed papers, co-invented more than 20 US patents and is an IBM certified instructor for the AI Practitioners course.
Developing AI Apps and Agents on Azure (AI-103) prepares learners to design, build, deploy and manage intelligent applications and autonomous agents with Microsoft's AI platform. Dr. Ang starts with planning and managing an Azure AI solution: choosing appropriate services and models, provisioning resources, securing keys and endpoints, and monitoring cost and responsible AI considerations. The generative AI and agentic solutions topic covers building applications with Microsoft Foundry and foundation models, grounding responses in enterprise data and designing agents that use tools to complete multi-step tasks, and his hands-on experience with RAG pipelines and multi-agent systems on other frameworks helps learners understand the patterns behind the platform. The course then moves through computer vision, text analysis and information extraction, including analysing images, extracting key phrases and entities, and pulling structured data from documents and forms. His AI-102 background is especially useful in these service-focused topics, and his security and governance training informs practical guidance on protecting data and keeping people in the loop. As an ACTA-certified trainer and DACE-certified curriculum developer, he balances concise explanations with guided labs in which learners build working solutions step by step, aligned to the WSQ assessment. Learners leave ready to apply Azure AI services to real business requirements. He also shares tips on reading Azure documentation and choosing between similar services, a common source of confusion for newcomers. To see his AI and agent projects, visit his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in machine learning, data analytics and AI applications. He has extensive hands-on experience developing predictive models and deep learning solutions using Python, R, TensorFlow and Keras, as well as RShiny dashboards. His professional background spans healthcare, finance and customer analytics, and he teaches AI from an applied perspective that addresses both the opportunities and the risks of emerging technologies. Dwight also holds a Masters in Education from NTU and has eight years of teaching experience in international schools in Singapore and overseas.
In WSQ Developing AI Apps and Agents on Azure (AI-103), Dwight applies his machine learning and development background to building intelligent solutions with Microsoft Azure AI technologies. He guides learners through planning and managing an Azure AI solution and implementing generative AI and agentic solutions, then through computer vision, text analysis and information extraction. His experience with real-world data in several industries helps learners connect each service to genuine business requirements, and his attention to AI risk supports sound design decisions. Participants leave able to design, develop, deploy and manage AI applications and autonomous agents on Azure with confidence.
Quah Chee Yong (QCY) is a data science trainer and AI specialist with a strong background in machine learning, natural language processing and predictive analytics. He has served as Data Science Training Lead for SAP's SGUnited programme, 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, so he brings first-hand knowledge of taking AI applications from design to production.
In Developing AI Apps and Agents on Azure (AI-103), QCY emphasises applied learning in Azure AI services, AI model integration and responsible AI practices. Learners plan and manage an Azure AI solution, implement generative AI and agentic solutions, and build computer vision, text analysis and information extraction solutions. His experience with chatbots and digital assistants is directly relevant to building intelligent applications and agents that understand language and act on it. His training combines theory with hands-on exercises, so learners can confidently design, deploy and monitor Azure AI solutions, prepare for the AI-103 certification, and apply AI responsibly and effectively in their workplaces.
Kishan Raaj is an AI and data analytics practitioner specialising in cloud-based AI solutions, predictive modelling and machine learning deployment. He has worked with organisations 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 to industry-specific use cases. As an experienced trainer, Kishan focuses on making advanced AI concepts accessible to learners of varying technical backgrounds, and his learner-centred approach builds both technical proficiency and the confidence to apply AI skills in real-world scenarios.
In WSQ - Developing AI Apps and Agents on Azure (AI-103), Kishan guides participants through Azure AI services, AI orchestration and best practices for deploying AI at scale. Learners start by planning and managing an Azure AI solution, then implement generative AI and agentic solutions that combine AI agents with enterprise data. The course continues with computer vision, text analysis and information extraction solutions, where his familiarity with knowledge mining and Azure AI service integration helps learners see how each service fits into a complete application. Participants leave able to design, build, deploy and manage intelligent AI applications and agents on Azure that address real business requirements.
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 implemented Microsoft Power Platform and Azure AI solutions across industries. He is also co-founder of the Microsoft Business Applications and Power Platform Community in Singapore, which has grown into an APAC network of over 1,000 members, and he has delivered Microsoft courses on Azure, Power Platform, Teams and AI services.
In this AI-103 course, Sanjiv equips learners with practical skills to build AI apps and agents on Azure. Participants plan and manage an Azure AI solution, implement generative AI and agentic solutions, and build computer vision, text analysis and information extraction solutions. He draws on his hands-on work with Azure AI services, including knowledge mining and conversational AI, to show how these capabilities fit together in a real 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.
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