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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
- 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:
You will need the following for this course:
- A ChatGPT Plus (or higher) subscription – required
- ChatGPT desktop app – free download
- Visual Studio Code – free
- Git – free
Hardware: Windows PC or Mac laptop
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
Dr. Alfred Ang builds agentic applications with AI coding agents in his own development work, and he brings that working method to this course on Codex, OpenAI's coding agent. He is a full-stack AI developer and Agentic AI solution architect, and serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, the company behind Tertiary Courses, which he founded. His agent framework experience spans the OpenAI Agents SDK, the Claude Agent SDK, the Google Gemini Agent SDK, Microsoft AutoGen, CrewAI, n8n, Langflow and Flowise, applied to RAG pipelines and multi-agent systems for real business use. His public GitHub portfolio of more than 300 repositories includes codex-demo, a dependency-free cooking and baking course catalogue with an AI-assisted course adviser; a published collection of reusable agent skills covering app start-up, README generation, Docker Hub pushes and secret scanning; wsq-courseware-generator-claude-streamlit, an AI-powered platform that automates assessment plans, facilitator guides, learner guides, lesson plans and slides; and n8n-ragdemo2, a customer-service RAG chatbot whose brochures are ingested into Supabase, Pinecone or Qdrant vector databases. He is a Microsoft Certified AI Engineer Associate (AI-102) and Data Scientist (DP-100), an AWS Certified Solutions Architect and AI Practitioner, and CompTIA Security+ certified. He holds a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a B.Sc (Hons) in Physics from NUS, and has published more than 20 peer-reviewed papers and co-invented more than 20 US patents.
In Agentic AI Applications with Codex, Dr. Ang teaches developers, data practitioners and product builders to treat Codex as a capable teammate that still needs clear direction and review. The first topic covers planning and development with Codex: briefing it effectively, asking it to plan before it edits, and setting project rules in AGENTS.md so that conventions, commands and boundaries are respected across every session. The second topic builds reusable AI workflows with Codex skills and MCP tools. Having written and published his own library of agent skills, he shows how to package a repeatable task, connect external tools and data through MCP, and keep each skill narrow enough to test. The third topic develops RAG and multi-agent applications, where learners have Codex scaffold retrieval over their own documents and coordinate several agents with distinct roles, drawing on the vector-database and multi-agent patterns from his own projects. The final topic, testing, evaluating and optimising agentic AI applications, reflects his emphasis on observability and security: learners write tests, define evaluation cases for agent behaviour, inspect failures and tune prompts, retrieval and costs rather than accepting the first output. His sessions are hands-on throughout, so each learner leaves with a working agentic application and a workflow they can apply to their own codebase. He is also frank about where coding agents go wrong and how to keep a human reviewer in control of every change. As an ACTA-certified trainer and DACE-certified curriculum developer, he paces the labs for mixed experience levels. To see his agent projects, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
An AI enthusiast with a strong commercial track record, Allen Wong is an ACTA-certified trainer and seasoned digital marketing strategist. He has spent more than eight years working across e-commerce, events, FMCG, real estate and finance, where his data-driven methods achieved a career-wide return on ad spend of 300%, peaking at 1000% in events, and generated $2M in e-commerce revenue together with over $5M in sales. Allen's focus has always been on high-impact, cost-effective results, and he brings that discipline of defining goals and measuring outcomes to learners who want to turn requirements into working AI software.
Agentic AI Applications with Codex teaches participants to design, build, test and optimise agentic AI applications using Codex, OpenAI's AI coding agent. Learners plan and develop an application with Codex, build reusable AI workflows with Codex skills and MCP tools, develop retrieval-augmented generation (RAG) and multi-agent applications, and then test, evaluate and optimise what they have built. Allen's emphasis on clear objectives and measurable results helps participants write precise plain-English requirements and review the agent's work critically rather than accepting it at face value. Learners finish with a working agentic application and a structured way of guiding Codex from requirement to tested release.
Kesston Tang is an ICT professional, consultant and trainer with more than two decades of experience in the information and communications technology sector and in supply chain (warehouse management). His professional certifications include PMP, ITIL, CEH, CHFI, SOC Analyst (CSA), MCSA and TOGAF, covering project management, IT service management, enterprise architecture and security. He has implemented multi-million-dollar projects for multinational corporations and government agencies, and graduated with a Master of Business in Enterprise Resource Planning and a Master Certificate on CIO from NUS. Kesston is ACTA certified and has conducted numerous National WSQ and NICF trainings in Singapore.
In Agentic AI Applications with Codex, Kesston brings his ICT, architecture and project delivery background to building software with Codex, OpenAI's AI coding agent. Learners plan and develop agentic AI applications with Codex, turning requirements into working code from plain-English instructions while reviewing and guiding the work. They build reusable AI workflows with Codex skills and MCP tools, develop retrieval-augmented generation (RAG) and multi-agent applications, and then test, evaluate and optimise what they have built. His project management experience reinforces a disciplined approach to planning, review and testing. Participants gain a structured way to design, build and improve agentic AI applications faster.
Patrick Foo is an ACTA-certified trainer with a computer science foundation and a career spanning business systems and web technology. Holding UK accountancy and computer science qualifications, he worked as an accountant, business solutions consultant and manager, and professional services manager specialising in ERP, CRM and business intelligence. In 2010 he earned his Advanced Search Engine Marketing Certification from Search Engine Academy, USA, and started Business Online Centre, a one-stop solution providing SMEs with domain registration, hosting, web design, SEO/SEM and Facebook marketing. He has conducted public and corporate website design classes since 2011.
In Agentic AI Applications with Codex, he brings this technical and solutions background to building software with Codex, OpenAI's AI coding agent. Learners plan and develop agentic AI applications from plain-English requirements, build reusable workflows with Codex skills and MCP tools, and develop Retrieval-Augmented Generation (RAG) and multi-agent applications. The course finishes with testing, evaluating and optimising what they have built. His background as a business solutions consultant helps participants keep their requirements clear and review the agent's output critically, so developers, technical professionals and product builders leave able to turn application requirements into tested, working software faster.
Ray Teoh is an ACTA-certified trainer whose experience lies in digital business, technology companies and SME digital transformation rather than software engineering. From 2011 to 2015 he was based in Shanghai, where he set up offices in Shanghai, Hong Kong and Taiwan in a joint venture with Innity, a Malaysia-listed digital company. In 2015 he joined iClick Interactive, a China programmatic advertising company that listed on NASDAQ in 2017. In 2019 he set up eDragon Group, which focuses on helping SMEs transform digitally.
In Agentic AI Applications with Codex, Ray brings the perspective of someone who has built and scaled digital businesses to the work of turning application requirements into working software with Codex, OpenAI's AI coding agent. Learners plan and develop agentic AI applications, build reusable AI workflows with Codex skills and MCP tools, and develop RAG and multi-agent applications, before testing, evaluating and optimising what they have built. His business transformation background helps learners start from a clear business requirement and judge whether an application genuinely solves it. Participants leave able to brief Codex effectively, review its work and guide it towards applications that serve a practical business purpose.
Review
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. (Posted on 4/5/2020)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 1/30/2020)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 - Might Recommend Review by Course Participant/Trainee
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More videos examples (Posted on 10/2/2019)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 - Will Recommend Review by Course Participant/Trainee
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The trainer is able to understand our need and adjust the pace of the course accordingly. It is a fruitful day spend (Posted on 5/5/2019)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 - Will Recommend Review by Course Participant/Trainee
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. (Posted on 5/4/2019)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
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