Course Information

  • Sessions 3 days
  • Duration 24 hrs
  • Level Intermediate
  • 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.

Funding Validity

Funding for this course is valid from 16 Aug 2026 to 15 Aug 2027. Register and complete the course within this period to qualify for funding support.

Learning Outcomes

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

  • LO1: Assess the performance of cloud solutions based on expected business requirements.
  • LO2: Draft specifications for cloud solutions addressing usage, performance, security, and analyze their impact.
  • LO3: Develop implementation plans incorporating cloud integration tools and installation tests for cloud solutions.
  • LO4: Develop processes for system alignment, automated software deployment, and reviewing metrics in cloud solution implementation.
  • LO5: Resolve escalated implementation issues by mastering impact analysis, scripting languages, big data tools, and cloud platforms.

Course Brochure

Certification

  • 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.

CASL - Agentic AI Solutions with ChatGPT Work and Codex

Course Code: TGS-2026064535
  • CASL
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES
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What's This Course About

This course equips learners with practical skills to design, develop, and implement Agentic AI solutions using ChatGPT Work and Codex. Participants will explore how AI agents can go beyond conversational assistance to plan and execute multi-step tasks, work with files and information, use tools, generate and modify code, and automate complex business and technical workflows.

Learners will gain hands-on experience using ChatGPT Work to perform knowledge-intensive tasks such as research, document analysis, data processing, content creation, and multi-step workflow execution. The course also introduces Codex for AI-assisted software development, enabling learners to understand codebases, generate and modify applications, troubleshoot technical issues, automate development tasks, and work with software repositories.

Participants will learn how to design agentic workflows by defining objectives, providing appropriate context, configuring tools and skills, managing data, and establishing effective human-in-the-loop controls. The course also covers testing, troubleshooting, security, data governance, and responsible AI practices to support reliable AI implementation.

By the end of the course, learners will be able to develop practical Agentic AI solutions that combine ChatGPT Work and Codex to automate workflows, support software development, solve business problems, and improve organisational productivity.

CASL Funding

Full Fee $1,500.00 Before GST
GST $135.00 9% of fee
Baseline Nett $885.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $585.00 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.

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 FormSubmit PSEA Form

Course FeeBefore Funding

$1,500.00 (GST-exclusive)
$1,635.00 (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: Agentic AI Solution Assessment with ChatGPT Work and Codex

Agentic AI concepts: Chat, Work and Codex

Identify business requirements and agentic AI use cases

Assess agentic AI solution performance against expected outcomes

Topic 2: Agentic AI Architecture, Security and Solution Specifications

Design agentic workflows: objectives, context, tools and skills

Specify usage, performance, security and data governance requirements

Analyse solution impact and human-in-the-loop controls

Topic 3: Agentic Workflow Integration, Implementation and Testing

Execute multi-step research, document and data tasks with ChatGPT Work

Integrate files, tools and connected apps into agentic workflows

Plan implementation and test agentic AI solutions

Topic 4: AI Agent Automation, Deployment and Performance Monitoring

Automate development tasks and work with repositories using Codex

Deploy agentic AI solutions and align them with existing systems

Review metrics and monitor AI agent performance

Topic 5: Agentic AI Troubleshooting, Coding and Issue Resolution

Understand codebases and generate or modify applications with Codex

Troubleshoot technical issues and resolve escalated implementation issues

Apply responsible AI practices for reliable implementation

Assessment

  • Written Exam
  • Practical Exam

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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: 18-65 years old

Minimum Software/Hardware Requirement

Software:

  • A paid ChatGPT plan with access to ChatGPT Work and Codex

Hardware: Window or Mac Laptops

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 Solutions Architect
  • AI Developer
  • AI Agent Engineer
  • AI Automation Consultant
  • Software Developer
  • Application Developer
  • Solutions Architect
  • Technical Consultant
  • Business Analyst
  • Systems Analyst
  • Data Analyst
  • Process Improvement Manager
  • Digital Transformation Manager
  • Operations Manager
  • IT Manager
  • Product Manager
  • Project Manager
  • Innovation Manager
  • Knowledge Worker
  • Business Owner

Trainers

Trainers

CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.
Agus Salim is an experienced IT solutions and cybersecurity professional with a strong foundation in cloud infrastructure and project management. With over a decade of experience in systems integration, software development, and IT security across both enterprise and consulting environments, he brings a practical understanding of secure system design and deployment. His credentials include PMP, CompTIA Security+, CEH, and AWS Certified Cloud Practitioner, reflecting his balanced expertise in governance, risk management, and cloud operations. Agus has worked with leading organizations such as Citi and Check Point Software Technologies, providing hands-on technical and security support across multi-cloud platforms.

Review

Customer Reviews (33)

Average Rating: 2.3/5 Review by Course Participant/Trainee
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Average Rating: 3.7/5 Review by Course Participant/Trainee
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Average Rating: 4.0/5 Review by Course Participant/Trainee
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Average Rating: 4.0/5 Review by Course Participant/Trainee
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Average Rating: 4.3/5 Review by Course Participant/Trainee
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