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WSQ - Build a Human–AI Workforce with Autonomous AI Agents

Sessions 2 days
Duration 24 hrs
Level Beginner
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

TSC Title: Artificial Intelligence Application in Product Development-4
TSC Code: ICT-TEM-4034-1.1

Funding for this course is valid from 2 Apr 2024 to 1 Apr 2027. Register and complete the course within this period to qualify for funding support.

By end of the course, learners should be able to:

LO1: Analyze LLM applications across a range of industries to identify their capabilities and limitations.
LO2: Establish the relationship between LLM design and Chatbot efficiency.
LO3: Evaluate and improve RAG application effectiveness in product.

Download Course Brochure

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - Build a Human–AI Workforce with Autonomous AI Agents

Course Code: TGS-2024043854

WSQ
SFC
PSEA
UTAP
SFEC
Absentee Payroll
MCES
Free AI Subscription

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This course equips participants with practical knowledge and skills to design, develop, and manage autonomous AI agents that collaborate with humans to improve business productivity, automate workflows, and enhance operational efficiency.

Participants will explore the emerging landscape of Always-On AI Agents, including Meta Muse, Claude Duet, OpenAI Dots, Manus Cue, and Grok Bots. They will examine how these AI agents operate proactively, perform tasks autonomously, and collaborate with humans across business functions. Emphasis is placed on understanding their capabilities, limitations, and the role of human oversight in managing an AI-powered workforce.

Through hands-on activities, participants will learn to design and build a single autonomous AI agent using Hermes Agent. They will configure Large Language Models (LLMs), prompts, memory, tools, skills, and integrations to enable agents to retrieve information, execute tasks, generate business content, and perform scheduled activities.

Participants will then progress to designing multi-agent systems using Hermes, where specialised AI agents collaborate, delegate tasks, and coordinate workflows. They will explore agent communication, task decomposition, group chats, and Kanban-based workflows to improve efficiency, reliability, and output quality.

By the end of the course, participants will be able to design and evaluate human-AI workflows, deploy single and multiple AI agents, and optimise agent collaboration to support business automation and workforce transformation.

This course is part of our AI training in Singapore, where you can browse all our AI courses. See more multi AI agents courses.

Complete this course and, as a Singapore Citizen aged 18 or above, redeem a 6-month free subscription to a premium AI tool — ChatGPT Plus, Google AI Pro, Manus AI, Microsoft 365 Personal or Singtel AI Pass — so you can keep practising what you learn.

After the course, SWDA emails you a redemption form; choose your tool within 60 days. One subscription per person, and the course must end on or after 16 Sep 2026. How redemption works

Full Fee $900.00 Before GST

GST $81.00 9% of fee

Baseline Nett $531.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $351.00 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used.

Direct Application on SkillsFuture Portal

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year.

Submit UTAP Claim

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form, then submit the completed form to us:

PSEA Withdrawal Form Submit PSEA Form

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: Overview of Always-On AI Agents and Human-AI Collaboration

Topic 2: Designing and Building a Single Autonomous AI Agent with Hermes

Topic 3: Designing Multi-Agent Teams to Improve Workflow Efficiency

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.

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Flowise – free, open source
Node.js (LTS) – free

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-2024043854.
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.

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.

How to Claim the Free AI Tools Subscription

Singapore Citizens aged 18 and above who complete this course can redeem a free 6-month subscription to ChatGPT Plus, Google AI Pro, Manus AI, Microsoft 365 Personal or Singtel AI Pass (six AI tools). The course must end on or after 16 September 2026, and each person can redeem one subscription only, however many eligible courses they take.

Optionally, take the AI Ready Quiz on MySkillsFuture to check your AI readiness level.
Enrol in this course, which carries the Free AI subscription label on MySkillsFuture.
Attend and successfully complete all course requirements.
Watch for the redemption email from SWDA with the subscription request form (check your spam folder).
Choose your AI tool and submit the form within 60 days of receiving the email. You cannot change your choice afterwards.
Follow the activation instructions in the confirmation email.

Full details: MySkillsFuture and our claim guide.

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

Customer Service Manager
Chatbot Developer
AI Product Manager
Digital Marketing Specialist
Customer Experience Strategist
IT Support Specialist
Web Developer
AI Implementation Consultant
Technical Support Engineer
Chatbot Design Consultant
UX/UI Designer for Chatbots
Data Analyst
Software Engineer
Business Analyst
Innovation Manager
Project Manager
AI Researcher
Customer Insights Analyst
Quality Assurance Engineer
E-commerce Manager

Trainers

Dr. Alfred Ang designs agents that work alongside people, and he has already put Hermes Agent to work in his own operations. His GitHub repository hermes-video-pipeline is an automated video production workflow for Tertiary Courses in which a topic request from a web form triggers a Hermes Agent webhook that researches, scripts, renders, verifies and publishes a YouTube video, and his hermes-demo project sits alongside it. He also built AICoaching, a business pitch and six-scenario coaching simulator for redesigning jobs around accountable AI-agent ownership, and n8n-ragdemo, a no-code RAG demo in which a browser PDF uploader feeds a vector store and a Telegram AI agent answers questions from the documents. These are part of a GitHub portfolio of 300+ public repositories. A full-stack AI developer and Agentic AI solution architect, he specialises in multi-AI agent system design with n8n, Langflow, Flowise, CrewAI, Microsoft AutoGen and the OpenAI, Google Gemini and Claude agent SDKs, and he builds RAG pipelines and autonomous agents for enterprise use cases. He is Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founder of Tertiary Courses. His credentials include a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU, a B.Sc (Hons) in Physics from NUS, a Graduate Diploma in Intelligent Robotics Systems from NUS-ISS, Microsoft Certified AI Engineer Associate (AI-102) and the Certificate in AI Ethics and Governance (Senior Professional) from NTU.

In this WSQ course, Dr. Ang guides participants through building a digital workforce in which autonomous agents collaborate with people and with each other. Topic 1 covers LLM applications with Hermes Agent: configuring an autonomous agent, connecting tools and APIs, defining agent skills and designing workflows for business and operational tasks, drawing on how he triggers and verifies his own Hermes-driven pipeline. Topic 2 explores retrieval-augmented generation and context engineering with OpenClaw, giving agents the right knowledge, persistent memory, user preferences and task context so their answers stay grounded, an area where his RAG builds help learners understand chunking, retrieval and the cost of poor context. Topic 3 moves to multi-agent management with Paperclip, where learners organise several agents into a coordinated team, assign roles and goals, monitor progress and step in when an agent stalls or goes off track. Throughout, he returns to the human side of the workforce: which tasks agents should own, who remains accountable for the outcome and how approvals and guardrails keep autonomy safe, themes he explores in his job redesign simulator and his AI governance studies. As an ACTA-certified trainer and DACE-certified curriculum developer, he structures the course as a progressive build, so participants finish with a small but working team of agents, a clear operating model and the confidence to extend it in their own organisation. To see his agent workflows and RAG 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 science leader and AI strategist with extensive experience driving enterprise AI adoption across healthcare, fintech and government. As Data & Analytics Product Lead at Amplify Health, she oversees AI-driven transformation initiatives and enterprise analytics architecture, leading large-scale data transformation and machine learning projects. In her earlier roles as AI & Data Architect at Huawei International and Senior Data Scientist at DataRobot, she delivered AI deployment and model governance projects across Asia. 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 Build a Human–AI Workforce with Autonomous AI Agents, she applies her deployment and governance experience to the question of how people and agents work together. Learners begin by building LLM-powered applications with Hermes Agent, configuring autonomous agents, connecting tools and APIs and defining agent skills. They then explore Retrieval-Augmented Generation (RAG) and context engineering with OpenClaw, giving agents relevant knowledge, memory and task context, before managing multiple agents with Paperclip. Her enterprise perspective keeps attention on oversight, data accessibility and clear human roles alongside the technology, so participants leave able to design, deploy and manage a digital workforce in which autonomous agents support their teams.

Tan Woei Ming is a data scientist and AI engineer with over 15 years of experience in machine learning, workflow automation and industrial AI applications. He has led AI and automation projects in the semiconductor industry, focusing on predictive analytics, robotic defect detection and large-scale data optimisation, and his expertise spans TensorFlow, PyTorch and Spark. He holds a Master's in Intelligent Systems from the National University of Singapore and a First-Class Honours degree in Electrical and Electronic Engineering from Nanyang Technological University, and is known for translating complex AI technologies into practical business applications.

WSQ - Build a Human-AI Workforce with Autonomous AI Agents applies that automation experience to teams where people and agents work side by side. Woei Ming guides learners through large language model applications with Hermes Agent, retrieval-augmented generation (RAG) and context engineering with OpenClaw, and multi-agent management with Paperclip. His sessions focus on designing end-to-end AI pipelines, orchestrating agent workflows and deciding which tasks to delegate and which to keep under human control. By combining reasoning models with workflow tools, he helps participants build scalable agentic systems that handle retrieval, summarisation and task automation reliably within their organisation.

Teh Siew Yee is a data analytics and transformation expert with more than two decades of experience across the technology, banking and manufacturing industries. Siew Yee has held leadership roles at Hewlett-Packard, Standard Chartered Bank and TikTok, specialising in AI governance, data management and business intelligence. Siew Yee holds a Master of IT in Business (Artificial Intelligence) from Singapore Management University and a Bachelor of Engineering (Electrical and Electronic) from Nanyang Technological University, and is an ACLP-certified trainer known for bridging data strategy with organisational innovation.

In Build a Human-AI Workforce with Autonomous AI Agents, Siew Yee brings this governance and data management lens to agents that work alongside people. Learners first build LLM-powered applications with Hermes Agent, then apply retrieval-augmented generation and context engineering with OpenClaw so agents work from the right information. The final topic covers managing multiple agents with Paperclip, coordinating how agents and people share work in a digital workforce. Drawing on experience leading AI governance, Siew Yee helps participants think through roles, oversight and data access as well as the technical build, so they can introduce autonomous agents that genuinely support their teams.

James Lee is an IT and multimedia educator who focuses on making AI and automation approachable for non-programmers. He has trained professionals in workflow automation, AI-powered design and digital storytelling, including guiding learners through no-code RAG and agentic workflows on platforms such as Langflow, n8n and Flowise. With over 20 years of expertise in creative technology, automation and productivity tools, he is an Adobe Certified Expert and ACLP-qualified instructor whose teaching merges visual creativity with emerging technologies.

In WSQ Build a Human-AI Workforce with Autonomous AI Agents, James helps participants design agents that work alongside people and other agents. Learners build LLM applications with Hermes Agent, apply retrieval-augmented generation (RAG) and context engineering with OpenClaw, and manage multiple agents with Paperclip. His experience with intelligent assistants that combine generative AI, data retrieval and task execution informs a practical, step-by-step approach to configuring, deploying and supervising agents. Participants leave able to plan and run a digital workforce in which autonomous agents take on defined tasks while people stay in control of the outcomes.