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
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-103 knowledge into solutions that address organizational needs.
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-103 certification but also apply AI responsibly and effectively in their workplaces.
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-103 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.
Review
Customer Reviews (3)
- willl recommend Review by Course Participant/Trainee
-
. (Posted on 4/8/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
-
. (Posted on 3/1/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
-
. (Posted on 2/28/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
Write Your Own Review
- Recommended Courses
- Related Courses