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Agentic AI Applications with Codex

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Learning Outcomes

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

  • LO1: Plan and develop agentic AI applications with Codex.
  • LO2: Build reusable AI workflows with Codex skills and MCP tools.
  • LO3: Develop RAG and multi-agent applications.
  • LO4: Test, evaluate and optimise agentic AI applications, including reliability, permissions and secrets.

Course Brochure

Download Course Brochure

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • Participants who achieve at least 75% attendance will receive a Certificate of Attendance from Tertiary Courses Malaysia.

Agentic AI Applications with Codex

Course Code: C695

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What's This Course About

Agentic AI Applications with Codex teaches you how to design, build, test and optimise agentic AI applications using Codex, OpenAI's AI coding agent. Codex can plan, write, run and check code inside your project from plain-English instructions, so you can turn application requirements into working software faster while you review and guide the work. The course is designed for developers, technical professionals, data practitioners and product builders who want to create AI-powered applications with an agentic development workflow.

You will start with agentic AI application planning and development, learning how to brief Codex effectively, plan before editing, set project rules in AGENTS.md and build a working application step by step. Next you will build reusable AI workflows with Codex skills, packaging repeatable tasks so they can be applied consistently across projects. You will then develop retrieval-augmented generation (RAG) and multi-agent applications with Codex, connecting AI models to your own documents and data and orchestrating several agents to complete complex tasks.

The final topic covers testing, evaluating and optimising agentic AI applications, including writing tests, measuring answer quality against golden questions, improving reliability and performance, and managing permissions and secrets safely. Throughout the course you will practise reviewing agent output critically and keeping humans in control. Every topic is hands-on. By the end, you will be able to use Codex to build, test and refine agentic AI applications that are reliable enough for real use.

This course is part of our AI training in Malaysia, where you can browse all our AI courses. See more ChatGPT and Codex training.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Agentic AI Application Planning and Development with Codex

Topic 2: Building Reusable AI Workflows with Codex Skills and MCP Tools

Topic 3: Developing RAG and Multi-Agent Applications with Codex

Topic 4: Testing, Evaluating and Optimising Agentic AI Applications

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

How to Apply HRD Corp Funding

This course is HRD Corp claimable for employers registered with HRD Corp, under the HRD Corp Claimable Courses scheme (SBL-Khas). Your company applies for the grant before the class; we submit the training provider claim after it.

  1. Check your levy balance - your company must be registered with HRD Corp and have enough levy balance to cover the course fee.
  2. Request a quotation - contact us for the quotation, course content and trainer profile; you attach these to the grant application.
  3. Apply for the grant in eTRiS before the class - log in to your employer eTRiS account, go to Application > Grant > Apply Grant, choose the scheme HRD Corp Claimable Courses (SBL-Khas), select us as the training provider and this course, add your trainees, attach the quotation, course content and trainer profile, and submit.
  4. Submit in time - for public classes, submit at least 3 calendar days before the class (15 June to 31 December 2026) and at least 14 days before from 1 January 2027; in-house classes need 14 days. The training must start within 90 days of that advance submission period.
  5. Send us the grant approval - once HRD Corp approves the application, email us the grant ID so we can confirm your seats.
  6. Attend the class - trainees sign the daily attendance (T3) form.
  7. Claim after the class - we submit the training provider claim in eTRiS with the attendance and invoice; you then complete the employer claim and sign the JD/14 form (manager level or above). Claims must be submitted within 6 months of the training.

More details: our HRD Corp Claimable Courses page and the HRD Corp employer guidelines.

Job Roles

Job Roles

  • AI Developer
  • Machine Learning Engineer
  • AI Solutions Architect
  • Data Scientist
  • AI Agent Engineer
  • Software Developer
  • AI Product Manager
  • Data Engineer
  • Prompt Engineer
  • AI Automation Consultant
  • Application Developer
  • R&D Engineer (AI)
  • Technical Consultant (AI)
  • Business Intelligence Analyst
  • Innovation Manager
  • Systems Analyst
  • Tech Project Manager
  • Automation Engineer
  • AI Research Assistant
  • Solution Developer

Trainers

Trainers

Coding agents now write a large share of the software that Dr. Alfred Ang ships. Dr. Ang is a full-stack AI developer, Agentic AI solution architect, corporate trainer and CTO of Tertiary Infotech Academy Pte Ltd in Singapore, building intelligent agents and scalable EdTech and business solutions end-to-end across front end, back end, databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub reflect a workflow in which AI coding agents plan, write, run and check code under close human direction. The codex-demo project, a dependency-free cooking and baking course catalogue with an AI-assisted course adviser, was built as a Codex showcase. Retrieval-augmented generation features across the portfolio: n8n-ragdemo lets users upload PDFs into a vector store and query them through a Telegram AI agent, a bakery training site pairs a customer-service RAG chatbot with twenty mock brochures, and digitalhuman grounds a voice-cloned avatar in an organisation's own content. Multi-step agent systems include the hermes-video-pipeline, which turns a topic request into a finished YouTube video, and the AI-LMS-TMS training platform with AI agent automation. Dr. Ang also maintains public collections of Claude Code skills, reusable packaged workflows that map closely to Codex skills, and ai-exams, a certification practice-exam platform with AI-assisted question generation that needed careful evaluation before release. Shipping real projects this way has made Dr. Ang particularly attentive to code review, testing and the guardrails that keep coding agents productive.

Agentic AI Applications with Codex builds on that experience step by step. The first topic, agentic AI application planning and development with Codex, shows how to write a clear specification, let Codex plan the work, review the changes and run the code inside a real project rather than copying snippets from a chat window. The second topic, building reusable AI workflows with Codex skills and MCP tools, teaches participants to package repeatable tasks as skills and connect external systems through the Model Context Protocol, drawing on Dr. Ang's own skill libraries. The third topic, developing RAG and multi-agent applications with Codex, walks through ingesting documents, retrieving relevant passages, grounding answers and coordinating several agents with distinct roles. The final topic, testing, evaluating and optimising agentic AI applications, covers automated tests, evaluation sets, cost and latency tuning, and the guardrails that keep agents from doing something unexpected. Dr. Ang codes live, narrating decisions and showing honestly when an agent goes off track and how to recover. Participants build their own small application across the course, so they finish with working code and a repeatable process rather than a set of screenshots. The class suits developers, technical analysts and solution builders comfortable with basic programming. To examine the RAG, multi-agent and skills projects referenced in class, learners can visit Dr. Discussion of security, secrets handling and repository hygiene ensures that speed never comes at the expense of safe engineering practice. Ang's portfolio at https://github.com/alfredang.

Review

Customer Reviews (5)

Very useful course 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
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 24/04/2026)
Would attend again 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
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 22/03/2026)
Engaging trainer 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
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 12/06/2025)
Great learning experience 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
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 04/02/2025)
Knowledgeable trainer 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
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 03/02/2025)

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