AI Agent Course Singapore | Up to 70% SkillsFuture Funding - MAGES
Building AI Agent
Building AI Agent

AI Agent Course

Build Agentic AI Workflows
21 Hrs. = 5 days
Assessment: 1 hr
Start Date: 26-October-2026

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Grants Available For SG/PR*

5 Day Intensive | Full-Time or Part-Time

Design and prototype AI agent workflows for business automation and decision support

 

This is a hands-on AI agent course in Singapore for professionals who want AI to do work, not just answer questions.

Across five mornings you’ll design and build agentic AI workflows — systems that route tasks, coordinate between tools and make decisions within rules you set. No coding. If you can draw a flowchart, you can build an agent.

Sessions run 9am to 1pm, Monday to Friday, so your afternoons stay yours. The gap between sessions is deliberate: you get to apply each day’s work before the next one starts.

After SkillsFuture funding, Singapore Citizens aged 40 and above pay S$585 and Singapore Citizens aged 21–39 and Permanent Residents pay S$885. Classes run at our *SCAPE campus beside Somerset MRT, starting Monday 26 October 2026.

Course Glance

Course name Building AI Agent Workflows
Course code TGS-2025060918
Format 5 mornings, Monday to Friday, 9am-1pm
Duration 20 hours training + 1 hour assessment
Next intake 26–30 October 2026
Full course fee S$1,635.00 including 9% GST
SC aged 21–39 and PRs S$885.00 after 50% SkillsFuture funding
SC aged 40 and above S$585.00 after 70% SkillsFuture funding
Other funding SkillsFuture Credit · PSEA · UTAP · SFEC for employers
Delivery Classroom, *SCAPE, 2 Orchard Link #05-11, Singapore 237978
Coding required None
Award Statement of Attainment and Certificate of Completion 
Entry Age 18+, N Level, WPLN Level 6, basic computer skills
Laptop Windows or Mac, 2017 or newer

The AI Agent Course at MAGES Institute Singapore runs over five mornings, from 26 to 30 October 2026, 9am to 1pm daily. Learners design and build agentic AI workflows for business automation without coding. The full fee is S$1,635 including 9% GST. After SkillsFuture funding, Singapore Citizens aged 21 to 39 and Permanent Residents pay S$885, and Singapore Citizens aged 40 and above pay S$585.

A Morning AI Course for Working Professionals

Five mornings, 9am to 1pm, Monday to Friday.

Most agentic AI courses in Singapore ask for full days. NUS runs five of them; Republic Polytechnic two. This course spreads the same material across half-days, so you keep your afternoons and apply what you learn between sessions rather than after it’s all over.

Which MAGES AI Course Is Right for You?

This course is about building AI that acts on its own — agents that route tasks, coordinate tools and make decisions inside rules you set. If that’s not what you need, we run five others.

Course Best for
AI Course in Singapore — Multimodal Creation Creating images, video, audio and text with AI
Business AI Tool Kit Using AI for everyday work — reports, analysis, admin
Design to Prototype: AI-Powered Apps with No-Code Tools Turning an app idea into a working prototype
AI Cybersecurity Business Essentials IT, risk and compliance teams

All our AI courses are SkillsFuture claimable and none require prior AI experience. Not sure which fits? [Talk to a course advisor] – a two-minute conversation usually settles it.

PROGRAM OVERVIEW

AI agents are rapidly transforming how businesses automate decisions, optimize operations, and deliver smarter services. This course empowers professionals to understand, design, and deploy AI agents for real-world applications.

 

Learners will explore how rule-based systems, reasoning flows, and agent logic can be applied to real-world business scenarios. Through hands-on prototyping, they will design and test agent workflows for use cases such as task routing, customer support, content generation, and more.

 

Designed for professionals in business, operations, or innovation roles, the course bridges conceptual understanding with practical application—equipping participants to integrate intelligent automation into their workflows and support sustainable transformation.

DURATION/SCHEDULE: 5-Day | 21 Hrs (26 Oct, 27  Oct , 28 Oct, 29 Oct and 30 Oct (9am – 1pm) (Monday to Friday)

GRANTS AVAILABLE: SWDA, SFC, PSEA, UTAP

COURSE CODE: TGS-2025060918

MODE OF DELIVERY: Classroom Facilitated Training

MEDIUM OF INSTRUCTION AND ASSESSMENT: Assignments, Written Exam, Project

COURSE START DATE: 26-October-2026

 

SOFTWARE TAUGHT: Open Office, AI Tools (ChatGPT, Gemini etc.)

HARDWARE REQUIREMENTS: Windows/Mac Laptop no older than 2017

AWARD: Statement of Attainment and Certificate of Completion

ENTRY REQUIREMENTS: Applicants must be at least 18 years old with N Level education, English proficiency, and WPLN Level 6 or above. Basic computer skills and ability to use word processing and presentation software are required; no prior work experience needed.

INSTRUCTORS

Rajesh Chakravarthy has worked in digital art, design and technology for 18 years, nine of them as an educator in creative media and tech schools. As Academic Director at MAGES Institute, he leads the school's work in artificial intelligence and immersive technology. Rajesh specialises in applying AI to real-world creative and business workflows, from generative AI tools for content production to AI-driven automation. He is also a veteran AR/VR developer and an Unreal Engine Authorised Instructor. His work sits where design, technology and business meet, through ventures in prototyping, product development and education. His students have gone on to careers with prominent companies around the world.

Rajesh Chakravarthy has worked in digital art, design and technology for 18 years, nine of them as an educator in creative media and tech schools. As Academic Director at MAGES Institute, he leads the school’s work in artificial intelligence and immersive technology.

Rajesh specialises in applying AI to real-world creative and business workflows, from generative AI tools for content production to AI-driven automation.

He is also a veteran AR/VR developer and an Unreal Engine Authorised Instructor. His work sits where design, technology and business meet, through ventures in prototyping, product development and education. His students have gone on to careers with prominent companies around the world.

Rajesh Chakravarthy

Academic Director | AI & Immersive Technology Specialist

Thomas O'Dell brings more than 25 years of experience in information technology and large-scale systems. At ICONIX International and Delcan Corporation in Toronto, Canada, he played a key role in developing the Automatic Fare Collection System for the Taiwan High Speed Rail in Taipei, a complex, high-volume automated system serving millions of passengers.

Today he specialises in AI and intelligent automation, applying that systems background to how organisations design and deploy AI-driven workflows.

Thomas has taught subjects including games programming at several Singapore institutions, and his industry experience shapes both his corporate training and his academic teaching.

Thomas O’Dell brings more than 25 years of experience in information technology and large-scale systems. At ICONIX International and Delcan Corporation in Toronto, Canada, he played a key role in developing the Automatic Fare Collection System for the Taiwan High Speed Rail in Taipei, a complex, high-volume automated system serving millions of passengers.

Today he specialises in AI and intelligent automation, applying that systems background to how organisations design and deploy AI-driven workflows.

Thomas has taught subjects including games programming at several Singapore institutions, and his industry experience shapes both his corporate training and his academic teaching.

Thomas O’Dell

Adjunct Lecturer | AI & Systems Automation Specialist

Nanda Ye Aung brings extensive experience across the IT and education industries, especially in 3D graphic animation, game programming and game development. He has worked in the United States, India and Singapore.

His background in game programming gives him a practical grounding in agent behaviour and decision systems — the behaviour trees, state machines and rule-based logic that let software decide what to do next. He applies that foundation to AI systems.

Nanda is a Unity Certified Developer and an Unreal Engine Authorised Instructor, and holds certifications from Microsoft and Oracle. His clear communication makes him a valued lecturer at MAGES.

Nanda Ye Aung brings extensive experience across the IT and education industries, especially in 3D graphic animation, game programming and game development. He has worked in the United States, India and Singapore.

His background in game programming gives him a practical grounding in agent behaviour and decision systems — the behaviour trees, state machines and rule-based logic that let software decide what to do next. He applies that foundation to AI systems.

Nanda is a Unity Certified Developer and an Unreal Engine Authorised Instructor, and holds certifications from Microsoft and Oracle. His clear communication makes him a valued lecturer at MAGES.

Nanda Ye Aung

Lecturer | AI Systems & Real-Time Technology

TOPICS COVERED

Understand

  • Where AI agents fit in real business workflows
  • Identifying processes ready for agent automation
  • Ethical and responsible deployment

 

Design

  • Workflow reasoning and decision logic
  • Knowledge and rule-based structures
  • Handling uncertainty in agent decisions
  • Designing for transparency and explainability

Build

  • Connecting agents to tools and systems
  • Task execution flows and triggers
  • Structured reasoning for complex workflows

 

Validate

  • Testing agent logic and performance
  • Documenting and refining workflows
LEARNING OUTCOMES
  • Analyse the structure, function, and business applications of intelligent agents and reasoning techniques, incorporating ethical considerations for responsible automation.
  • Apply structured reasoning methods and rule-based models to design and prototype agent-driven solutions for business automation.
  • Evaluate the reliability of agent-driven decisions under uncertainty and assess readiness for integrating intelligent workflows into organizational systems.
Fees
Singaporeans 21 to 39 Yrs
Course Fee (Inclusive of 9% GST)
$1635.00
SWDA Grant @ 50%
$750.00
SFC (Based on Available Bal.)
-
PSEA (Based on Eligibility & Availability)
-
Amount Payable
$885.00
Singaporeans 40 Yrs & Above
Course Fee (Inclusive of 9% GST)
$1635.00
SWDA Grant @ 70%
$1050.00
SFC (Based on Available Bal.)
-
PSEA (Based on Eligibility & Availability)
-
Amount Payable
$585.00
Permanent Residents (PR)
Course Fee (Inclusive of 9% GST)
$1635.00
SWDA Grant @ 50%
$750.00
SFC (Based on Available Bal.)
-
PSEA (Based on Eligibility & Availability)
-
Amount Payable
$885.00
Company Sponsorship Available (SMEs, MNCs, Government Agencies)
SFEC Grant Claimable (for eligible companies)
Customised Private Class Proposals Available to Suit Your Company’s Needs and Learning Outcomes
SFC
All Singaporeans aged 25 years and above can use their Skills Future Credit to fully offset the remaining fees. Please check your Skills Future Credit balance before applying.
PSEA
All Singaporeans can utilise their Post Secondary Education Fund for payment of course fees upto the age of 31. More information can be found HERE
SFEC
SkillsFuture Enterprise Credit (SFEC) is a government grant that helps eligible Singapore companies offset up to 90% of out-of-pocket costs for enterprise and workforce transformation. It supports approved training programmes, job redesign, consultancy, and productivity projects.

More info:
SkillsFuture Singapore (SFEC page)
Business Grants Portal (BGP)

FAQs

What is this AI agent course about?

Building AI agents that work for you. You’ll design workflows for automation, decision support and business operations – systems that reason, act and run on their own.

What are AI agents?

AI systems that don’t just answer questions — they take action. Route tasks, coordinate between tools, make decisions within rules you set. Think: AI that does, not just AI that chats.

Do I need coding experience?

No. You’ll work with visual builders, structured logic, and rule-based design. If you can draw a flowchart, you can build an agent workflow.

What types of workflows are covered?

Task automation, decision routing, system coordination, and content workflows. Real business use cases — not theoretical demos.

How does the course address ethics and risk?

You’ll evaluate accountability, transparency, and risk factors before you deploy. Build responsibly, not just quickly.