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      About Featured

      OpenAI Extend Codex Workflows

      Learn to turn good Codex habits into team processes. The second course in OpenAI’s Codex pathway.

      4.9 out of 5 for LUNARTECH, from 100+ reviews10,000+ students

      Partners and press
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      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
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      Overview

      A habit helps one engineer. A process helps the whole team.

      Extend Codex Workflows is a free, self-paced 90-minute course for software engineers in OpenAI Academy’s Codex pathway. It shows how to turn effective ways of using Codex into repeatable team processes, with oversight kept in the loop. It is the middle Codex pathway course, and OpenAI says its badge is not a certification.

      5Modules
      10–20Questions
      90Minutes
      7Roles
      What it covers

      Learn all the way down.
      Perform when it matters.

      Spot what works

      Recognize which of your Codex habits produce good results, and write down why they do.

      Make it repeatable

      Turn those habits into a process another engineer can follow and get a similar result.

      Share it with a team

      Roll the process out across a team, so Codex use is consistent instead of personal.

      Keep oversight in

      Build review and human oversight into the process, so speed does not replace judgment.

      Course outline

      From a Codex habit that works
      to a process your team repeats.

      5 modules25 lessonsSelf-paced

      We design this course ourselves. OpenAI issues the credential, and LUNARTECH is independent of OpenAI.

      Most engineers settle into habits without testing them. You keep a log of tasks, prompts and results, compare the runs that went well with those that did not, and find what made the difference.

      • Logging tasks, prompts and outcomes
      • Comparing good runs with poor ones
      • Separating luck from method
      • Naming the habits behind your best results
      • Measuring review time and rework

      You build A short log of real Codex tasks with the habits that made them work.

      A habit becomes a process once someone else can follow it. You turn what works into task templates, prompt patterns and repository guidance, each with an example of a good result.

      • Turning a habit into numbered steps
      • Task templates for common change types
      • Prompt patterns with worked examples
      • Defining done for each kind of task
      • Recording known failure modes and fixes

      You build A Codex playbook with templates for three common kinds of task.

      A repeatable process gives similar results for different people. You test your playbook on a colleague’s task, find where it leaves room for guesswork, and tighten the inputs, checks and finish criteria.

      • Handing the playbook to someone who did not write it
      • Finding the steps that vary by person
      • Standard inputs and standard checks
      • Automating checks that run every time
      • Versioning the playbook as it improves

      You build A playbook revised after a colleague ran it on a real task.

      Shared practice needs more than a document. You plan how a team adopts the process: where the guidance lives, how new members learn it, and how people report what works and what does not.

      • Putting shared guidance in the repository
      • Onboarding engineers to the process
      • Agreeing team conventions for prompts and tasks
      • Collecting feedback after each use
      • Keeping the playbook current as the team learns

      You build A rollout plan for one team, with owners and a feedback routine.

      Faster changes still need accountable people. You build review gates into the process, decide who owns each Codex-made change, and keep a record that shows what was generated, checked and approved.

      • Setting review gates by risk
      • Assigning an owner to every change
      • Keeping the reviewer independent of the prompt
      • Recording what was generated and approved
      • Noticing when speed is replacing judgment

      You build Oversight rules and a review checklist built into your team’s process.

      Issued by
      OpenAI

      Certifying body · Independent of LUNARTECH

      OpenAI

      A certification in early pilot, and free Academy courses across Foundations, Codex and the API. OpenAI says its Academy badges and certificates of completion are not certifications, and don’t guarantee eligibility for one. Availability is still changing, so check OpenAI’s own pages before planning around any of these.

      How you get there

      Top-tier roles go to people who can do the work.
      Here’s how you get there.

      Know where you start.

      Codex pathway level. Check OpenAI’s official page for what it expects before you begin.

      Work through the course.

      Five modules, designed by LUNARTECH, at your own pace.

      Earn it with OpenAI.

      OpenAI issues the credential, so you earn it directly with them.

      Support

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      You won’t be working through this alone.

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      Course · 1 hourLaunching Your Data Science Career

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      Course · 60 hoursBuild Your Data Science Portfolio

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      Course · 40 hoursData Science Career Playbook
      Reviews

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      4.9out of 5, from 100+ reviews
      LUNARTECH Academy has been the most empowering learning experience of my life, giving me a clear, structured path from the absolute basics to building real-world AI systems with confidence.
      Farnia GhanizadehSerajAI Engineer
      Your page is fantastic. As a bachelor’s student in Data Science now accepted for a master’s at UConn, your work has been a real source of motivation.
      Mahmoud A.Data Scientist
      The programme’s clear, bite-sized content and practical projects dramatically improved my speed from fuzzy idea to MVP and my ability to communicate AI value. I followed the system, and it works.
      Rod MorrissonHead of Data Science & AI
      I really appreciate your teaching style and the way you break down complex topics. It has been incredibly helpful.
      Narine P.Data Analyst
      After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python.
      Raphael J., PhDQuantitative Analyst
      As a Data Science graduate, I want to thank you for the effort you put into making videos to support growing data scientists.
      Stanley M.AI Engineer
      I’ve been following your work since taking your machine learning course, and I’m impressed by your practical approach to applying AI.
      Sai Eshwar G.Data Scientist
      Why choose us

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      Pricing

      This course comes with the membership.
      So does everything else.

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      In practice

      Seven roles.
      One credential across them all.

      No single job owns it. Here’s where each role leans hardest, and where its work ends up.

      1. 01Habits
      2. 02Processes
      3. 03Oversight
      • Your best Codex habits can be written down. A teammate can then repeat them.

        Habits, Processes

        Software teams, Startups

      • Team-wide AI use needs a shared process. Oversight is part of that process.

        Processes, Oversight

        Software teams, Platform engineering

      • A good prompt pattern becomes a shared template. Oversight is built in so no one has to remember it.

        Processes, Oversight

        Platform engineering

      • Repeated Codex tasks belong in a documented process. Others can then run it the same way.

        Processes

        Platform engineering

      • Your own Codex habits are worth writing down for others. A process turns one person’s method into a team’s.

        Habits, Processes

        Software teams

      • Cross-team work needs a process everyone can follow. Oversight steps make it auditable.

        Processes, Oversight

        Software teams, Platform engineering

      • Test habits can be built into every Codex task. Oversight stops those checks from being skipped.

        Processes, Oversight

        Software teams

      • Software teams
      • Platform engineering
      • Startups
      Software Engineer

      Your best Codex habits can be written down. A teammate can then repeat them.

      Over 10,000 students trust LUNARTECH

      LUNARTECH gives you the skills
      to learn, build, create and lead.

      Engineers

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      The field

      Anyone can use AI.
      Few can engineer it. This is where that starts.

      +340%growth in open roles requiring AI skills

      Data source: Stanford AI Index 2026 & 2024 (Lightcast data), Indeed Hiring Lab, Hacker News “Who’s Hiring”. Aug–Nov 2026 (dashed) is an estimate from the trend.
      Roles and pay

      ~35,000 open roles right now

      Open roles: Built In, Greenhouse, LinkedIn.
      Typical salaries: Glassdoor, Levels.fyi, Payscale, Indeed, Ravio, JobRise, U.S. BLS. Military: 2026 U.S. basic pay, drone officers with aviation incentive pay.
      Updated November 2026.

      FAQ

      Frequently asked questions.

      Need help? These answers cover most of what people ask before they start.

      No. OpenAI issues it. LUNARTECH is independent of OpenAI, and its names and marks belong to it. When you finish a course of ours, you earn a LUNARTECH certificate of completion for that course.

      No. We design this course ourselves, around what the credential covers. OpenAI has no part in it, and you still earn the credential directly with OpenAI.

      10–20 questions, 90 minutes, online, self-paced. The passing score is 80% on the assessment.

      We last reviewed it on 5 November 2026, from excerpts of OpenAI’s official pages, because its site doesn’t accept automated readers. Details change, so check the official page before you book.

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      The course

      Build the skills behind Extend Codex Workflows.

      Learn to turn good Codex habits into team processes. Start with a free trial, or enroll in a plan and work through the course at your own pace. OpenAI issues the credential.

      5 modulesSelf-pacedIssued by OpenAIReviewed 5 November 2026

      LUNARTECH is independent of the vendors and certifying bodies listed here. Their names, exam titles and marks belong to them, exams are run by them, and credentials are issued by them. Reviewed 5 November 2026. Catalogues change often, so confirm the details on the official page before you book.