Course Details
Course Details
What You'll Learn
Topic 1: Fundamentals: Chat, Work and Codex
Topic 2: Tools and the SQLite RAG Assistant
Topic 3: Skills and Hooks
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: 21-65 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
Appeal Process
- The candidate has the right to disagree with the assessment decision made by the assessor.
- When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
- If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
- If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
- If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
- 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.
- The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
- The candidate must lodge the appeal within 7 days, giving reasons for appeal
- The assessor can help the candidate with writing and lodging the appeal.
- he assessment manager will collect information from the candidate & assessor and give a final decision.
- A record of the appeal and any subsequent actions and findings will be made.
- An Assessment Appeal Panel will be formed to review and give a decision.
- The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
- The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
- Please click the link below to fill up the Candidates Appeal Form.
Job Roles
Job Roles
- Digital Marketing Specialist
- Social Media Manager
- Online Brand Manager
- Content Creator
- Digital Content Specialist
- Advertising Manager
- Marketing Analyst
- E-commerce Specialist
- Media Planner
- SEO Specialist
- Product Manager
- Community Manager
- Public Relations Specialist
- Influencer Marketing Specialist
- Affiliate Marketing Manager
Trainers
Trainers
Agentic coding tools are part of the daily workflow for Dr. Alfred Ang, a full-stack AI developer, Agentic AI solution architect and corporate trainer who serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses. Dr. Ang has used coding agents to plan, write, run and check much of the code behind a public GitHub portfolio of more than 300 repositories, spanning web platforms, databases, cloud deployment and native iOS and Android apps. Several projects were built specifically to explore what coding agents can do. One is a dependency-free cooking and baking course catalogue with an AI-assisted course adviser, built as a Codex demonstration, and related projects show a private browser-based course assistant and a SQLite-backed course assistant that answers questions from a small local database. Dr. Ang has also published reusable agent skills, including Claude Code skills that start apps automatically, generate README files, push to Docker Hub and scan for leaked secrets, along with a set of skills that produce complete training documents in a consistent house style. Larger systems, such as an AI-powered content management system and a self-hosted learning and training management system, were developed in close partnership with coding agents. This experience gives Dr. Ang practical insight into how agents behave on real projects and how to guide them well. Dr. Ang regularly compares several coding agents on the same task, which gives a balanced view of their strengths and of the review discipline every agent still requires.
Codex Masterclass turns that insight into a structured path through the agentic coding surface in the ChatGPT desktop app. The first topic covers the fundamentals of chat, work and Codex modes, showing learners when to ask questions, when to delegate a task and how to review the plans, file changes and test runs that Codex produces inside a project. The second topic introduces tools and builds a SQLite RAG assistant, where participants direct Codex to create a small database, load content and build an assistant that answers questions grounded in that data, much like the course-assistant demos Dr. Ang has built. The third topic explores skills and hooks, teaching learners to package repeatable instructions as skills and to use hooks that run checks automatically, so the agent follows project conventions and catches mistakes before they spread. Dr. Ang shares habits refined over many agent-built projects: writing clear task briefs, keeping changes small and reviewable, insisting on tests and never letting secrets slip into the codebase. Sessions are live and hands-on, with learners guiding Codex on their own project while Dr. Ang reviews progress and explains why particular prompts succeed. Developers and technical professionals leave able to delegate real coding work to Codex with confidence. Dr. Ang also explains how to recover when an agent takes a wrong turn, using version control, small checkpoints and focused follow-up instructions to get work back on track quickly. Explore Dr. Ang's agent-built projects at https://github.com/alfredang.
Review
Customer Reviews (9)
- Superb training Review by Course Participant/Trainee
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Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 27/08/2024)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 - Worth every cent Review by Course Participant/Trainee
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The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 01/08/2024)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 Review by Course Participant/Trainee
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Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 11/07/2024)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 useful course Review by Course Participant/Trainee
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Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 08/03/2024)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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