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[Part 1: Basics] OpenClaw.AI Master Class: Creating Your Own Autonomous AI Agent with Gemini and Docker

Build your own AI headquarters at a low cost! This is a practical guide to building autonomous AI agents that combine Gemini 2.5 Flash and Docker to ensure security while reducing costs.

17 learners are taking this course

Level Basic

Course period Unlimited

Docker
Docker
Business Productivity
Business Productivity
gemini
gemini
AI Agent
AI Agent
openclaw
openclaw
Docker
Docker
Business Productivity
Business Productivity
gemini
gemini
AI Agent
AI Agent
openclaw
openclaw

What you will gain after the course

  • Building Your Own Autonomous AI Assistant System

  • AI workspace based on thorough security

  • Cost-effective integration of the latest AI models (Gemini 2.5 Flash)

  • Success stories in practical task automation

  • Know-how for Resuscitating Low-End Hardware

Recently, news has been emerging that major domestic IT companies are restricting the use of OpenClaw within their organizations. This is due to concerns regarding security and the loss of control over data.

Paradoxically, however, this is the strongest evidence of just how disruptive this technology is. When smartphones and the cloud first emerged, companies also locked their gates citing 'security' as the reason. But in the end, the winners were not those who rejected the wave, but those who first learned how to understand the nature of the wave and control it safely.


"A massive tide has already begun; where do you stand?"

At this very moment, the global AI ecosystem is rapidly restructuring in the direction that OpenClaw is pursuing.

  • Claude Code has now opened the era of remote agents, allowing users to write code and issue commands from the outside via Telegram.

  • Perplexity AI's new 'Computer' feature has introduced an advanced system where multiple agents divide roles and process workflows in parallel.

What do these latest technologies have in common? It is that they are evolved versions of the 'autonomous agent system' that OpenClaw has already implemented and proven.


Working with OpenClaw is not just about learning how to use a tool. It is about being the first to experience the 'future AI agent standard' dreamed of by Claude Code or Perplexity, at the deepest and most practical level. While others only read about the future of work in the news, you will be building it into your own workflow right now.


Therefore, this lecture series presents the most definitive roadmap for moving beyond vague fears and mastering the technology that may become the standard of the future.

🛡️ Key Differentiation: Why must it be 'Docker'?

OpenClaw has the powerful authority to view the user's screen and move the mouse. To ensure this control does not threaten your host system, this course focuses on Docker-based sandboxing technology as a core element.

  • Complete System Isolation: By separating the AI agent's workspace from your main PC system, we protect your valuable files and settings from threats such as AI malfunctions or data leaks.

  • Setting Security Guardrails: You will learn how to set up technical fences so that the AI can only access the folders and tools we permit, rather than having unrestricted access.


  • Enterprise-grade Security Standards Experience: Through the process of technically resolving security risks that large corporations worry about, you will be reborn as a 'security-centric AI expert' who is immediately welcomed in the field.

  • Special Lecture on OpenClaw Agent Security Strategy and Vulnerability Response:

    • At the end of the lecture, through the 'Security Special Lecture', we analyze OpenClaw's security mechanisms and potential vulnerabilities. It transforms you into a 'Security-Focused AI Expert' who can go beyond being a simple user and instead predict security threats and establish defense strategies.

🚀 After taking this course, you will experience these changes


  • Building Autonomous Agents Beyond Simple Chatbots: Instead of a chatbot that only answers questions, you will implement Agentic AI that thinks and acts on its own directly onto your PC.

  • Achieve Overwhelming Productivity: You will be freed from the repetitive manual work of copying and pasting, experiencing improved efficiency compared to before.

  • Technical prowess for both security and efficiency: You will gain the 'real skill' of safely confining and utilizing AI within a Docker sandbox.

  • An AI headquarters without expensive subscription fees: Own a system that runs top-tier intelligence at all times at a reasonable cost by integrating the Gemini 2.5 Flash API.

💡 Why 'OpenClaw' and 'Autonomous Agents' now?

1. Changes in Corporate Hiring Trends: "The Era Where One Person Replaces Ten"

Amidst the developer hiring freeze, companies now want 'architects who command AI legions' rather than 'simple coders.' OpenClaw, an autonomous agent, is the future standard that monitors tasks in real-time and acts on its own judgment.


2. Security issues are not a 'barrier' but a 'competitive edge'

The reason companies block it is that this technology is powerful enough to perceive and control the entire screen. This course does not hide these security vulnerabilities. Instead, by covering how to overcome them and safely integrate them into practical work within an isolated learning environment (Docker), we will transform you into 'an AI expert who understands security'.

💻 I highly recommend this course to these people!

  • Developers and practitioners tired of repetitive tasks: Those who want to be freed from the drudgery of summarizing hundreds of files and writing reports.

  • Learners concerned about the security of their PC: Those who want to try AI agents but have hesitated due to fear of system contamination or information leakage.

  • Early adopters who want to stay one step ahead of others: Those who want to move beyond the era of chatbots and preoccupy the next-generation standard, 'Agent' technology.

  • Tech leaders torn between security and efficiency: Those who want to learn how to technically control security risks while still harnessing the power of AI technology.

📢 A word from the instructor

Will you remain a quitter who says, "It's not possible because of security," or will you become a leader who says, "I will build a system that achieves 10x efficiency through safe control"?


Hello. This is Kevin.

I am striving to create a lecture that can be helpful to everyone who wishes to utilize OpenClaw.

I believe that focusing solely on learning how to use OpenClaw might lead to overlooking "security," which is one of the most important essentials. Therefore, I have designed this course with security in mind, and I plan to continue addressing security as an integral part of the content moving forward.

Furthermore, this course goes beyond simply utilizing OpenClaw; it focuses on building your own security sandbox to develop the proper intellectual foundation required for the full-fledged AI era.


I will add my small effort to help you grow into a highly competitive intellectual who leads upcoming trends, so please don't give up until the end; I hope we can adapt well and thrive in this new era together.


Keep it up!

⚙️ Notes before taking the course

  • Prerequisite Knowledge: Basic computer literacy and a willingness to copy and paste terminal commands are sufficient.

  • Requirements: A Google account (for Gemini API issuance) and a standard specification PC capable of installing Docker.

  • Provided Materials: PDF lesson plans for each class used in the lecture, source code required for practical exercises, and a free guide are provided.

🧰 Tech Stack Used

  • OpenClaw

  • Docker

  • Google Gemini API (2.5 flash)

✅ Do you have any questions?

Q. I am a non-major who knows nothing about coding. Can I really follow along?

It is definitely possible.

This course is not about memorizing complex programming syntax, but rather a class where you learn the process of moving an 'intelligence called AI' into a 'secure workspace called Docker.'

Technical commands are designed to work simply by copying and pasting them from the guidebook.

You will be focusing more on designing the logical structure of "how to put AI to work for my tasks" rather than the technology itself.

Q. Why use a complex program like Docker? Can't I just install and use it directly on my PC?

Docker is a virtualization technology with many advantages. In particular, the most important reason we use Docker in this course is for "security."

AI agents have powerful permissions to read and write files on your PC. If you let an agent loose across your entire PC without any security measures, there is a risk that important files could be deleted or personal information leaked due to unexpected errors.

Docker provides a 'safe, dedicated workspace (Sandbox)' for the agent. By isolating the agent to operate only within that space, it is an essential choice for safely utilizing AI while perfectly protecting your precious host PC.

Q. Is it possible to practice on low-spec laptops or old PCs?

Yes, it is possible.

OpenClaw processes complex AI computations on Google's servers (Gemini API) rather than on your own computer. Since your PC only serves to transmit commands and manage the resulting files, you can easily build your own AI server even with a 5-6 year old laptop, as long as it meets the minimum specifications to run Docker.

More detailed hardware usage strategies are explained separately in the lecture.

Q. Is there a specific reason for using the Gemini API?

The decision to use the Gemini API was made because of Google's ecosystem.

Assuming we are building an agent-based automation system, I made the decision after much consideration that integrating the various Google services we use in our daily lives into the agent system would further improve our quality of life.

I decided on the Gemini API.

Of course, I believe that once you have built a solid foundation, it won't be difficult to expand to any AI model you desire.

Q. Will my assistant be complete with just the Part 1 lectures? What is the difference from Part 2?

Upon completing Part 1 of the lecture, you will have a 'competent assistant that works perfectly within my computer.'

The core abilities to analyze text files and write reports are all completed in Part 1.


Part 2 is an advanced course specialized in 'remote control' to utilize this assistant through your smartphone (Telegram) even when you are away from home. First and foremost, I believe it is most important to build a solid foundation for the assistant's 'intelligence' and 'working environment' in Part 1.

Q. Can I use AI like ChatGPT or Gemini to carry out this project?

In the modern development paradigm, it is actually more unusual not to utilize AI. I highly recommend that you use it actively.

However, you should be cautious about simply handing everything over with a request like "make this for me." If you are a beginner, you must first understand the principles of how the system works and the security rules with your own mind.

Please keep in mind that relying on AI too early can lead to losing the 'technical self-sufficiency' needed to solve problems on your own when they arise later, so I recommend using it appropriately.

💡 Notes before taking the course

Practice Environment Operating System and Version (OS)

  • Windows 10/11 (Both Home and Pro versions available)

  • macOS (Both Intel and Apple Silicon supported)

  • Linux (Any distribution where Docker can be installed)


※ Note: To run Docker Desktop, 'Virtualization Technology' must be enabled in your system BIOS settings.


Computing Power (Hardware)

  • CPU: Virtualization-supporting CPU (most CPUs released within the last 5–6 years)

  • Memory: Minimum 8GB or more recommended (to run Docker and the browser simultaneously and smoothly)

  • Storage: Approximately 20GB or more of free space (for storing Docker images and working files)



Tools Used: Docker Desktop (or Docker Engine)

  • This is a core tool for building an isolated workspace (sandbox) for the agent.

  • Installation methods are covered in detail within the lecture, so you do not need to install them in advance.

Visual Studio Code (VS Code)

  • This is the main code editor for editing the agent's configuration files (.env, .yml) and persona files (.md).

  • It is a free tool and will be used as the standard editor for the course exercises.

Google AI Studio (Gemini API)

  • This is the API key for the AI model that will serve as the agent's brain.

  • This lecture utilizes the 'Paid Tier (Free of Charge),' so there may be some additional costs associated with the hands-on exercises. (Google account required)



Network Environment

  • Since it requires real-time communication with Google AI servers, a stable internet connection is necessary.


Precautions

  • If you wish to use the learning materials and code from this lecture in personal spaces such as blogs, you must include the lecture title, the instructor's name, and a link to the lecture. Please understand that any other unauthorized distribution is not permitted.

Recommended for
these people

Who is this course right for?

  • Office workers who felt uneasy about using AI for work due to security policies

  • Working professionals who want to be freed from repetitive daily file management and summarization tasks.

  • Those who want to build 'AI that takes action' beyond a simple chatbot.

  • Cost-conscious talent who wants to own high-performance AI without the burden of monthly subscription fees.

  • A non-major who doesn't know complex coding but wants to have their own AI headquarters.

Need to know before starting?

  • Prerequisite Knowledge: "Basic computer literacy is all you need"

  • Mindset: "Overcoming the fear of the black screen (terminal)"

  • Preparing the Environment: "It's okay if you don't have a high-spec PC"

  • Recommendations (It's okay if you don't know these; it won't affect your ability to take the course!): You have heard of the terms 'Docker' or 'API'.

  • Recommendation (It's okay if you don't know, it won't affect your ability to take the course!): Experience using a text editor such as Notepad or VS Code.

Hello
This is Kevin

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- Primary languages or technologies: Java, Spring Framework, RxJava, Reactor, Spring WebFlux

- Worked as a Senior Educational Software Engineer (Backend) at Code States (https://www.codestates.com)
(From 2022.03 To 2024.01.31)

- Working as a freelance developer and instructor (From 2024.02)

- Publications

Hello, I'm Kevin. ^^

I am delighted to meet you all as an instructor here on Inflearn.

As is the case in any field, I believe that for a software developer in particular, the only way to survive is to constantly hone one's skills to keep up with ever-changing trends. I am one of those developers who enjoys software development while maintaining a mindset of continuous learning.

I started my courses on Inflearn with the hope that my knowledge and experience could be of some help to others.

I will continue to reach out to students with a variety of courses that provide practical, real-world help. Thank you.

Questions and feedback are always welcome, so please feel free to reach out via email (it.village.host@gmail.com).

We will continue to reach out to you with a variety of courses. Thank you. Questions and feedback are always welcome, so please feel free to contact us via email (it.village.host@gmail.com).

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