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Codex for Work Automation

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

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.

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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.

Codex for Work Automation

Course Code: C427

2 Review(s) | Add Your Review

What's This Course About

Put OpenAI Codex to work on the repetitive parts of your job in this hands-on 1-day course. Codex is OpenAI’s AI coding agent that turns plain-English instructions into working automation — available in your terminal via the Codex CLI, inside your editor through the IDE extension, and in the cloud where tasks run on their own while you carry on with other work. You will set up Codex, learn the prompting patterns that get reliable results, and use AGENTS.md files to give the agent standing instructions about your projects and preferences so every task starts with the right context.

Through practical exercises, participants will delegate real work tasks to Codex: cleaning and transforming spreadsheets and data files, batch-renaming and organising documents, generating reports and summaries, and building small scripts that automate recurring workflows end to end. You will also connect Codex to GitHub to review changes and keep your automation under version control, and build the verify-then-trust habit of checking every AI-generated script before relying on it. By the end of the course, you will be able to hand routine work to Codex with confidence and free your time for higher-value tasks.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Building Agentic AI Workflows to Automate Business Processes

Course Fee

₹22,050.00 (GST-exclusive)
₹24,034.50 (GST-inclusive)

Course Date

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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 Getting Started with OpenAI Codex

  • What Codex Is and How the Agent Works
  • Setting Up the Codex CLI, IDE Extension and Codex Cloud
  • Prompting Patterns for Reliable Automation
  • Standing Instructions with AGENTS.md

Topic 2 Automating Work Tasks with Codex

  • Cleaning and Transforming Data and Spreadsheets
  • Organising Files and Generating Reports
  • Building Reusable Automation Scripts
  • GitHub Integration and Verify-Then-Trust Review

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:

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • AI Solutions Architect
  • AI Agent Developer
  • Prompt Engineer
  • Machine Learning Engineer
  • Automation Specialist
  • AI Product Manager
  • Digital Transformation Consultant
  • AI Integration Engineer
  • DevOps Engineer (AI/ML)
  • Full Stack AI Developer
  • Natural Language Processing Engineer
  • AI Research Engineer
  • Conversational AI Developer
  • Cloud AI Engineer
  • Technical AI Consultant
  • AI Workflow Designer
  • Data Engineer
  • AI Operations Analyst
  • Software Engineer (AI Platforms)
  • AI Technical Lead

Trainers

Trainers

Dr. Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

Review

Customer Reviews (2)

Will Recommend 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
Course material print is too small; should print 2 slides on 1 page instead

Trainer is very helpful and accommodating in providing inputs to student's case studies. (Posted on 12/1/2017)
Will Recommend 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
Nil (Posted on 3/10/2017)

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