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WSQ - Building Agentic AI Workflows to Automate Business Processes

Course Information

  • Sessions 2 days
  • Duration 16 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.

Skills Framework

TSC Title
Artificial Intelligence Application
TSC Code
AER-TEM-3026-1.1 TSC

Learning Outcomes

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

  • LO1: Identify and evaluate prompt engineering for AI applications and related issues.
  • LO2: Implement AI agent applications using Microsoft Semantic Kernel
  • LO3: Deploy Chat Copilot workflows according to plan.
Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.
  • 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 - Building Agentic AI Workflows to Automate Business Processes

Course Code: TGS-2024045801
  • WSQ
  • SkillsFuture Credit
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES

226 Review(s) | Add Your Review

What's This Course About

This course equips professionals with the knowledge and skills to design and deploy agentic AI workflows for business automation. Participants will begin with an overview of AI agents and agentic AI, exploring how they differ from generative AI, the role of LLM reasoning frameworks, and real-world use cases. Through hands-on practice, learners will create AI agents and build LLM-powered avatar chatbots using no-code and low-code agentic AI platforms.

The course then introduces the concept of a multi-agent workforce, highlighting its benefits, applications, and management strategies. Learners will gain practical experience in designing and orchestrating multi-agent workflows on intuitive no-code and low-code platforms, enabling collaborative AI systems that mirror real-world business teams.

Finally, participants will focus on agentic AI workflows for process automation, covering Agentic Process Automation (APA) and Retrieval Augmented Generation (RAG). They will learn to implement APA solutions to streamline operations and create RAG workflows that integrate external data for more accurate and context-aware AI outputs.

By the end of the course, learners will be able to confidently design, build, and manage AI-powered workflows that automate business processes effectively, driving efficiency and innovation in their organizations.

WSQ Funding

Full Fee $800.00 Before GST
GST $72.00 9% of fee
Baseline Nett $472.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $312.00 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

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. Click here for SkillsFuture Credit submission


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. Click here to submit UTAP


PSEA

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

  • To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2024045801) 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 and email to us.

Course FeeBefore Funding

$800.00 (GST-exclusive)
$872.00 (GST-inclusive)

Course Date

* Required Fields

Additional Note

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

Post-Course Support

  • 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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

Topic 1: Overview of AI Agents and Agentic AI Workflows

What is AI Agent and Agentic AI?

Agentic AI vs Generative AI

LLM Reasoning Frameworks

Use Cases of Agentic AI Workflows

Create an AI Agent on No-Code Platforms

Create a LLM-Powered Avatar Chatbot on No-Code and Low-Code Agentic AI Platforms

Topic 2: Managing Multi AI Agents Workforce

What are Multi AI Agents?

Use Cases of Multi AI Agents

Managing Multi AI Agents Workfloce

Creating Multi AI Agents Workforce on No-Code and Low-Code Agentic AI Platforms

Topic 3: Agentic AI Workflows to Automate Business Processes

Overview of Agentic Process Automation (APA)

Create Agentic Process Automation on Low-Code Agentic AI Platforms

Overview Retrieval Augmented Generation (RAG)

Create RAG on Low-Code Agentic AI Platforms

Assessment

  • Written Exam
  • Practical Exam

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

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

Softtware: Windows / Mac

Hardware: Laptop

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored TraineeEmployer Sponsored Trainee
  • Singapore Citizens or Singapore Permanent Residents aged 21 and above
  • From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  • Trainee must pass all prescribed tests / assessments and attain 100% competency.
  • We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.
  • Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
  • From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  • Trainee must pass all prescribed tests / assessments and attain 100% competency.
  • We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.
SkillsFuture Credit:
  • Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.
PSEA:
  • To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
  • Scroll down to "Keyword Tags" to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.
  • And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
  • Not all courses are eligible for PSEA funding.
Absentee Payroll (AP) Funding:
  • $4.50 per hour, capped at $100,000 per enterprise per calendar year.
  • AP funding will be computed based on the actual number of training hours attended by the trainee.
SFEC:
  • If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
  • Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
  • SkillsFuture Enterprise Credit (SFEC) Microsite

Appeal Process

  1. The candidate has the right to disagree with the assessment decision made by the assessor.
  2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
  3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
  4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
  5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
  6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
  7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
  8. The candidate must lodge the appeal within 7 days, giving reasons for appeal
  9. The assessor can help the candidate with writing and lodging the appeal.
  10. he assessment manager will collect information from the candidate & assessor and give a final decision.
  11. A record of the appeal and any subsequent actions and findings will be made.
  12. An Assessment Appeal Panel will be formed to review and give a decision.
  13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
  14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
  15. Please click the link below to fill up the Candidates Appeal Form.

Job Roles

Job Roles

  • AI Developer
  • Semantic Kernel Engineer
  • AI Product Manager
  • Data Scientist
  • AI Application Developer
  • Chatbot Developer
  • AI Strategy Consultant
  • Software Engineer
  • Machine Learning Engineer
  • AI Research Scientist
  • Natural Language Processing Engineer
  • AI Solutions Architect
  • Technology Innovation Manager
  • Prompt Engineering Specialist
  • AI Content Strategist
  • System Integration Specialist
  • AI Deployment Engineer
  • Cloud Solutions Architect
  • AI Project Manager
  • Digital Transformation Consultant

Review

Customer Reviews (226)

Average Rating: 3.0/5 Review by Course Participant/Trainee
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
N/A (Posted on 3/13/2026)
Average Rating: 4.0/5 Review by Course Participant/Trainee
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
Nik (Posted on 3/13/2026)
Average Rating: 3.3/5 Review by Course Participant/Trainee
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
Would be better if the trainer was able to answer queries with more depth and insights (Posted on 3/13/2026)
Average Rating: 5.0/5 Review by Course Participant/Trainee
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
N/A (Posted on 3/13/2026)
Average Rating: 5.0/5 Review by Course Participant/Trainee
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
N/A (Posted on 3/13/2026)

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