Instructor-led training / ai-codex-201-dev

Codex for Developers

Learn advanced ChatGPT Codex workflows, MCP documentation integration, and context engineering to plan, generate, verify, and refine AI-assisted software projects across the full SDLC.

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Instructor-led

ai-codex-201-dev

Duration: 4 Hours
Format: Live Online
Access: Multiple Timezones

Overview

About this course.

This course develops advanced ChatGPT Codex workflows for technical professionals who need to plan, guide, verify, and refine AI-assisted development work with greater control. You will use Codex across the full AI-native software development lifecycle while combining project planning, structured prompting, MCP documentation access, and durable project guidance.

The course begins with Codex orientation and MCP usage, then moves into the 7-phase software development workflow and code-oriented prompting. You will practice using AI to define project scope, requirements, user stories, implementation roadmaps, and review criteria before moving into guided code generation with AGENTS.md and prepared project context.

By the end of the course, you will be able to use Codex as a project-aware development partner across planning, implementation, review, testing, refinement, and handoff. You will have practiced building better AI-assisted workflows by combining MCP, structured prompts, project planning documents, AGENTS.md guidance, terminal verification, and iterative code refinement.

Objectives

What you'll learn

Configure ChatGPT Codex for advanced project-based development workflows
Explain how MCP extends Codex with external documentation and tool access
Use the 7-phase AI-native SDLC to structure planning, implementation, review, testing, refinement, and handoff
Apply code-oriented prompting techniques to produce scoped, verifiable coding results
Develop project plans, scope documents, user stories, requirements, and implementation roadmaps with AI assistance
Create and refine AGENTS.md guidance to control project behavior, boundaries, verification, and documentation expectations
Use prepared project guidance and planning documents to generate more reliable Codex-assisted code
Build, review, test, refine, and document a guided coding project through a complete AI-assisted development workflow

Audience

Who it's for

Software Developers (Suggested)
Technical Leads & Engineers (Suggested)
DevOps / Systems Engineers (Suggested)

Prerequisites

Before you start

Codex already installed
Codex is licensed
Students are not firewalled from GitHub and therefore able to download exercises

Outline

Course outline.

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1. Codex CLI Power User Setup & config.toml

Lecture: Codex CLI Power User Setup & config.toml
Lecture + Lab: Codex CLI Power User Setup & config.toml

2. AGENTS.md, SPEC.md, and Context Engineering

Lecture: AGENTS.md, SPEC.md, and Context Engineering
Lecture + Lab: AGENTS.md, SPEC.md, and Context Engineering

3. Advanced Agentic Workflows & Multi-Step Execution

Lecture: Advanced Agentic Workflows & Multi-Step Execution
Lecture + Lab: Advanced Agentic Workflows & Multi-Step Execution

4. Failure Modes, Drift, and Recovery Techniques

Lecture: Failure Modes, Drift, and Recovery Techniques
Lecture + Lab: Failure Modes, Drift, and Recovery Techniques

5. AI-Safe Git Workflows & Reviewing AI Changes

Lecture: AI-Safe Git Workflows & Reviewing AI Changes
Lecture + Lab: AI-Safe Git Workflows & Reviewing AI Changes

6. How Expert Users Actually Use Codex

Lecture: How Expert Users Actually Use Codex
Lecture + Lab: How Expert Users Actually Use Codex

7. MCP, Tool Integrations, and External Systems

Lecture: MCP, Tool Integrations, and External Systems

For teams

Training a whole team?

Request private training for Codex for Developers and we'll follow up with a quote for your group.

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