Role-Based Programme
RB0851

Codex for Information Technology

Explore AI-Assisted Development, Troubleshooting & IT Workflows

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how Codex supports software development, application maintenance, troubleshooting, testing, and technical documentation.
  • Explore AI-assisted code understanding, generation, modification, debugging, and review.
  • Experience practical Codex workflows for common IT development and support activities.
  • Identify where Codex can improve engineering productivity while maintaining human technical oversight.
  • Recognise security, validation, repository-access, and responsible-use considerations.

Tools covered

OpenAI CodexCodex in ChatGPTCodex IDE ExtensionCodex CLICodex CloudCode ReviewTest ExecutionBrowser Validation

Who should attend

  • IT Professionals
  • Software Developers
  • Application Support Engineers
  • Technical Support Engineers
  • System Engineers
  • DevOps Professionals
  • Cloud Engineers
  • Platform Engineers
  • IT Operations Professionals
  • Solution Engineers
  • Technical Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of IT systems or software applications
  • Basic awareness of programming or scripting concepts is helpful
  • Familiarity with software-development or application-support processes is beneficial
  • No advanced programming expertise required
  • No previous Codex experience required

TOC Modules

Concepts
  • Understanding Codex as an AI coding agent for real engineering work
  • Exploring Codex across ChatGPT, IDE, terminal, and cloud environments
  • Understanding the Requirement → Build → Test → Review workflow
  • Identifying IT use cases across development, support, maintenance, and troubleshooting
Practical activities
  • Exploring Codex through a sample software project
  • Asking Codex to explain the application structure and functionality
  • Mapping common IT activities to Codex capabilities

Scenarios

Application Issue to Validated Resolution

Application Error → Codex Investigation → Code Analysis → Root-Cause Hypothesis → Proposed Fix → Test → Verification

Participants use Codex to investigate a common application issue, understand the relevant code, review a proposed correction, and validate the result before implementation.

IT Change Request to Review-Ready Implementation

Change Requirement → Codebase Analysis → Codex-Assisted Development → Testing → Code Review → Technical Documentation

Participants use Codex to convert a small IT change request into a tested and documented implementation ready for human technical review.

## Current Capability Reference

Codex currently works across **ChatGPT, IDE extensions, CLI, and cloud environments** and is designed for engineering work including feature development, refactoring, migrations, testing, and code review.

Codex can also work with browser-based validation and supports coordinated agent workflows for larger engineering tasks.

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