Course Details
Course Details
What You'll Learn
Topic 1: Fundamentals of Agentic AI and Paperclip
Topic 2: Building AI Agents with Paperclip
Topic 3: Developing Intelligent Multi-Agent Systems
Topic 4: Deploying and Managing AI Agents
Assessment
- Written Exam
- Practical Exam
Course Info
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- 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 age group: 21-65 years old.
Software:
You can download and install the following software:
Hardware: Windows and Mac Laptops
Hardware: Laptop
Minimum Software/Hardware Requirement
Software:
You will need the following for this course:
- Paperclip – free, open source
- Node.js (LTS) – free
- At least one AI coding agent supported by Paperclip (the trainer will advise which one to use)
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-2023036646.
- 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
- NLP (Natural Language Processing) Engineer
- Machine Learning Engineer
- AI Application Developer
- Chatbot Developer
- AI Research Scientist
- AI Product Manager
- Data Scientist specializing in text data
- Conversational AI Designer
- AI Integration Specialist
- Language Model Trainer
- Content Personalization Engineer
- AI Platform Engineer
- Cognitive Computing Specialist
- AI Technical Consultant
- AI Software Architect
Trainers
Trainers
Managing a team of AI agents raises the same questions as managing people: who owns which task, what each member may do on its own, and how work is checked before it reaches a customer. Dr. Alfred Ang has been answering those questions in his own systems for years. A full-stack AI developer and Agentic AI solution architect, he designs multi-agent architectures with frameworks such as n8n, Langflow, Flowise, the OpenAI Agents SDK, the Google Gemini Agent SDK, the Claude Agent SDK, Microsoft AutoGen and CrewAI, and he leads agentic AI adoption that moves organisations from experimentation to operational AI. He serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founded Tertiary Courses. Among the more than 300 public repositories on his GitHub, AICoaching is a business pitch and six-scenario coaching simulator for redesigning jobs around accountable AI-agent ownership; kacificerpr runs scheduled AI agents that raise purchase orders and replenishment requests while people approve them through email, Asana or Telegram; and hermes-video-pipeline coordinates research, scripting, rendering and verification steps in an automated video production line. He holds a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and the NTU Certificate in AI Ethics and Governance (Senior Professional), and is a Microsoft Certified AI Engineer Associate (AI-102), an AWS Certified AI Practitioner and a PMP-certified project manager.
In WSQ Manage AI Agents with Paperclip, Dr. Ang brings that agent-management experience to Paperclip's visual interface, so participants can build and run agents with minimal coding. The first topic covers the fundamentals of agentic AI and Paperclip, explaining how autonomous agents differ from traditional chatbots and how they reason, use tools, access knowledge and collaborate. The second topic is hands-on agent building: designing agents, configuring workflows, integrating large language models and connecting APIs to automate business processes. Topic three extends this into intelligent multi-agent systems, where several agents divide a complex task and pass work between them, and the final topic covers deploying and managing agents in day-to-day operations. Although Paperclip is a different tool from the frameworks in his own projects, the management principles carry over directly, and he uses his human-approval workflows and job-redesign simulator to show why every agent needs a clear owner, defined boundaries and a reviewable record of what it has done. His PMP and ITIL backgrounds inform the practical advice on monitoring, escalation and continuous improvement, while his AI ethics and governance training keeps accountability front and centre. As an ACTA-certified trainer and DACE-certified curriculum developer, he paces the course for business professionals as well as technical staff, with guided builds and discussion of where agents fit in learners' own teams. Participants leave able to deploy agents and manage them responsibly. To explore his agent projects, explore his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Yeo Hwee Theng is a data and AI strategist with extensive experience in enterprise analytics, data product design and applied AI solutions. As Data & Analytics Product Lead at Amplify Health, she drives AI adoption and data transformation initiatives across the healthcare sector. Her previous roles include AI & Data Architect at Huawei International and Senior Data Scientist at DataRobot, where she led projects in large-scale machine learning deployment. She holds a Master of Technology in Enterprise Business Analytics from the National University of Singapore and an Advanced Certificate in Learning and Performance (ACLP).
In Manage AI Agents with Paperclip, she helps professionals turn the idea of agentic AI into well-managed business automation. Learners begin with the fundamentals, including how AI agents differ from traditional chatbots and how they reason, use tools, access knowledge and collaborate on complex tasks. Using Paperclip's interface, they then build their own agents, develop intelligent multi-agent systems and finally deploy and manage agents in operation. Her background in enterprise AI solutions and data systems keeps the emphasis on practical design and dependable oversight, so participants leave able to build, deploy and manage intelligent agents that improve decision-making and operational efficiency in their organisations.
Tan Woei Ming is a data scientist and AI engineer with more than 15 years of experience in machine learning, deep learning and intelligent automation. At Micron Semiconductor Asia, he led AI projects in predictive analytics and image recognition, and his expertise lies in developing data-driven solutions that integrate large language models, neural networks and computer vision technologies. He holds a Master's in Intelligent Systems from the National University of Singapore and a First-Class Honours in Electrical and Electronic Engineering from NTU, and focuses on translating complex AI technologies into practical business applications.
In WSQ - Manage AI Agents with Paperclip, Woei Ming helps learners design, implement and deploy agent systems that use large language models for real-world problem-solving. Participants cover the fundamentals of agentic AI and Paperclip, build AI agents with Paperclip, develop intelligent multi-agent systems, and then deploy and manage their agents. His sessions emphasise building modular AI pipelines, orchestrating workflows and monitoring how agents perform once they are running. With his strong technical foundation, he enables participants to bridge data science and generative AI development, and to manage teams of agents reliably in enterprise settings.
Teh Siew Yee is a data analytics and digital transformation leader with more than two decades of experience in the IT, banking and manufacturing sectors. Siew Yee has held senior leadership roles at Hewlett-Packard, Standard Chartered and TikTok, leading teams in AI governance, analytics and business transformation. Siew Yee holds a Master of IT in Business (Artificial Intelligence) from Singapore Management University and a Bachelor of Engineering from Nanyang Technological University, and is an ACLP-certified trainer who integrates case studies and reflective exercises so learners can apply new skills immediately.
In Manage AI Agents with Paperclip, Siew Yee helps participants design AI systems that combine large language model reasoning with practical business workflows. Learners start with the fundamentals of agentic AI and how AI agents differ from traditional automation, then build AI agents with Paperclip. They progress to developing intelligent multi-agent systems and finish by deploying and managing agents for business automation. By linking technical design with strategic business outcomes, and drawing on a background in AI governance, Siew Yee equips learners to run AI agents that improve productivity, insight generation and customer engagement while remaining well managed.
Truman Ng is a cloud and AI infrastructure specialist who architects hybrid AI infrastructures that combine scalability, performance and security for real-world enterprise deployment. With more than two decades of experience in enterprise IT, cybersecurity and automation, he has trained global teams in cloud computing, AI system integration and DevOps workflows, and provides technical guidance on integrating LLM-based AI systems within secure cloud and enterprise environments. He holds PMP and Huawei HCIE certifications and is an ACTA-certified trainer.
In WSQ Manage AI Agents with Paperclip, Truman gives participants hands-on experience in building, deploying and managing intelligent agents for business automation. Learners start with the fundamentals of agentic AI and how agents differ from traditional chatbots, then use Paperclip to build agents that reason, use tools, access knowledge and collaborate on complex tasks. They go on to develop multi-agent systems before deploying and managing their agents. His sessions emphasise automation pipelines, data orchestration and performance optimisation, helping learners move from prototype to robust, scalable agents that deliver dependable results in day-to-day operations.
Review
Customer Reviews (22)
- will recommend Review by Course Participant/Trainee
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Up-to-date use cases for LLMs as to understand better how it is currently used as well as to give ideas on how it can be used. Jet provided quite good examples. (Posted on 1/16/2024)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
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More practical demo and deeper guide for LLM (Posted on 1/16/2024)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
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