Practical Work Automation with AI Agents - An Introduction to Agentic Coding for Non-Developer Office Workers

This course is not about non-developer office workers learning coding itself, but rather an education focused on developing the ability to solve business problems directly using AI agents. Previously, one had to rely on IT departments or outsourced development when problems arose, but we are now in an era where you can design alongside AI and create immediate prototypes to implement task automation. The core competencies required for this are problem definition, establishing solution strategies through AI collaboration, and the ability to build the necessary tools yourself. In particular, by utilizing Codex CLI, existing ChatGPT users can practice agentic coding immediately without additional costs, allowing non-developers to quickly gain practical experience. The curriculum is structured step-by-step, covering everything from understanding changes in the AI agent era to development basics, terminal usage, Codex CLI-based agentic coding, problem structuring, Django web app development, and the creation of actual task automation apps. Learners can secure task automation capabilities by directly building applications applicable to real-world work, such as To-Do lists, checklists, schedule management, meeting minutes, and summarization tools. The entire course is designed as a modular micro-learning system composed of short units, allowing for rapid learning of necessary content and immediate reuse during work.

1 learners are taking this course

Level Beginner

Course period Unlimited

AI
AI
Python
Python
Django
Django
codex
codex
VSCode
VSCode
AI
AI
Python
Python
Django
Django
codex
codex
VSCode
VSCode

What you will gain after the course

  • Work problems can be structured as automation problems.

  • You can collaborate with AI agents to establish solution strategies.

  • You can experience agentic coding using the Codex CLI.

  • I can create Django-based business web applications.

  • You can create your own repetitive task automation tools.

1. Course Introduction

In the era of AI agents, those who can build the tools they need themselves will be the ones who solve problems the fastest. General office workers should not learn coding to become developers, but rather utilize coding to solve business problems.

The skills required for non-developer office workers in the future are as follows.

  • The ability to define business problems

  • The ability to request solution strategies from AI agents

  • The ability to create necessary applications yourself

This process is not coding education, but problem-solving education using AI agents.

<Traditional Way of Working>

Problem occurs → Request to IT department → Outsourced development → Results months later

<AI Agent Era>

Problem occurs → Design with AI → Immediate prototyping → Task automation

We must understand that we have entered an era where office workers create their own problem-solving tools, and we must prepare and gain experience for this.

---

2. Why use Codex CLI

The most important criteria for general office workers when choosing an AI coding tool were set as follows.

  • Is it an AI you are already using?

  • Is there no additional cost?

  • Is it possible to practice immediately?

For these reasons, I chose Codex CLI.

  • Can be used immediately with a ChatGPT account

  • Development based on AI agents is possible

  • Fast execution in a terminal environment

  • Support for Plan mode

If you are already a ChatGPT user, you can experience agentic coding immediately.

---

3. Learning Objectives

  • Work problems can be structured as automation problems.

  • You can collaborate with AI agents to establish solution strategies.

  • You can experience agentic coding using the Codex CLI.

  • I can create Django-based business web applications.

  • You can create your own repetitive task automation tools.

---

4. Target Audience

  • An office worker with almost no development experience

  • Practitioners who want to automate repetitive tasks

  • People who want to use AI as a tool for solving work-related problems

  • Someone who uses ChatGPT but has no coding experience

---

5. Learning Method

This course consists of modular microlearning.

  • Short, focused learning

  • Re-learn only the necessary modules

  • Quick review possible during work


Recommended for
these people

Who is this course right for?

  • An office worker with almost no development experience

  • Practitioners who want to automate repetitive tasks

  • People who want to use AI as a tool for solving work-related problems

  • Someone who uses ChatGPT but has no coding experience

Need to know before starting?

  • Using ChatGPT and Writing Prompts

  • General computer use

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It is packed with practical know-how that can be used immediately in business practice.
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It is packed with practical know-how that can be used immediately in business practice. #EduTech #LifelongLearning #Metaverse #eLearning

* Currently serving as the Director of Open Learning Lab Co., Ltd., with a background in e-learning, EdTech, and lifelong learning
* A Ph.D. in Educational Technology with a deep interest in the learning and growth of individuals and organizations
* Focusing on turning ideas into reality in fields such as digital learning, EdTech, lifelong learning, and the metaverse
* Active as a business content creator, producing various types of content required for business

 

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101 lectures ∙ (9hr 54min)

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