Building AI Agent Workflows | MAGES Institute
Building AI Agent Workflows
Building AI Agent Workflows

Building AI Agent Workflows

21 Hrs. = 3 days
Assessment: 1 hr

Grants Available For SG/PR*

3 Day Intensive | Full-Time or Part-Time

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

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: 3-Day | 21 Hrs

GRANTS AVAILABLE: SSG, SFC, PSEA, UTAP

COURSE CODE: TGS-2025059158

MODE OF DELIVERY: Classroom Facilitated Training

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

COURSE START DATE: 6-June-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 and design for the past 18 years (stationed as an educator within various creative media and tech schools for 9 of those years) and is a veteran AR/VR developer and an Unreal Engine Authorised Instructor.  His leadership has led many students to successful careers within prominent companies around the globe. Rajesh’s research and hard work has made great strides in Augmented and Virtual Reality, as he intersects design, technology, and business through his many ventures in prototyping and education.

With more than 18-year background in digital art, Rajesh Chakravarthy, an AR/VR expert and authorized Unreal Engine Instructor, spent 9+ years as an educator. His leadership resulted in students securing roles in global companies.
Rajesh’s pioneering work in AR/VR, blending design, tech, and business, is evident in his prototyping and educational endeavours.

Rajesh Chakravarthy

Academic Director | Unreal Engine Authorised Instructor

With over 25 years of working experience, in companies such as ICONIX International and Delcan Corporation in Toronto, Canada. Thomas has played a key role in developing the Automatic Fare Collection System for the Taiwan High Speed Rail in Taipei. His significant experience in the IT industry enriches both his industrial training and his academic teaching. He has teaching experience in subjects like Games Programming at various Singaporean institutions.

With over 25 years of working experience, in companies such as ICONIX International and Delcan Corporation in Toronto, Canada. Thomas has played a key role in developing the Automatic Fare Collection System for the Taiwan High Speed Rail in Taipei. His significant experience in the IT industry enriches both his industrial training and his academic teaching. He has teaching experience in subjects like Games Programming at various Singaporean institutions.

Thomas O’Dell

Adjunct Lecturer

Nanda has a remarkable experience in the IT industry and the education industry specially in the field of 3D Graphic Animation, Game Programming and Game Development & Design. Nanda is a Unity Certified Developer and also an Unreal Engine Authorised Instructor, in addition to having certification from Microsoft and Oracle. Nanda has working experience in United States, India and Singapore. With his excellent communication and interpersonal skills, he proves to be a truly commendable and valuable lecturer for MAGES.

Nanda has a remarkable experience in the IT industry and the education industry specially in the field of 3D Graphic Animation, Game Programming and Game Development & Design. Nanda is a Unity Certified Developer and also an Unreal Engine Authorised Instructor, in addition to having certification from Microsoft and Oracle. Nanda has working experience in United States, India and Singapore. With his excellent communication and interpersonal skills, he proves to be a truly commendable and valuable lecturer for MAGES.

Nanda Ye Aung

Lecturer | Unreal Engine Authorised Trainer

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
SSG 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
SSG 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
SSG 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 course Building AI Agent Workflow more about?

Build 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.

Is this relevant for business and operations professionals?

Yes. Designed for people in operations, innovation, and transformation roles — anyone planning or evaluating intelligent automation.

What certification will I receive?

Certificate of Completion from MAGES Institute, issued upon successful completion of the assessment.

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