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
- 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
- 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
Review
Customer Reviews (33)
- Will recommend Review by Course Participant/Trainee
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Nil (Posted on 7/31/2016)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 - Contents covered Review by Course Participant/Trainee
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Awaiting for full day course purely on SHINY APPS (Posted on 7/31/2016)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 - excellent Review by Course Participant/Trainee
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Very good course for those who already has R background.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
Trainer has simplify the ML codes using shiny apps to demo the concepts.
awaiting for Programming for Shiny - if the school has such course (Posted on 7/31/2016)
Write Your Own Review
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