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

Name: [Part 1: Basics] OpenClaw.AI Master Class: Create Your Own Autonomous AI Agent with Gemini and Docker
Price: 27500 KRW
Rating: 4.9 (14 reviews)

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.

(4.9) 14 reviews

115 learners

Level Basic

Course period Unlimited

Kevin

Docker

Business Productivity

gemini

AI Agent

openclaw

Docker

Business Productivity

gemini

AI Agent

openclaw

Reviews from Early Learners

4.9

5.0

Kevin

79% enrolled

Hello, I'm Kevin! OpenClaw is a personalized AI assistant that allows even those with no experience using AI tools to establish the concept of AI agents and try them out in real life. While some may already be using AI agents from a business perspective in corporate settings, I believe this is an innovative tool that those who haven't had that chance can use effectively. In Part 1 of the lecture, I focused on building a solid foundation for Part 2. Since Part 2 is currently in production, I hope many of you will join us and become someone who can thrive in the AI era! Thank you!

5.0

하진수

74% enrolled

As a humanities major, it's not exactly easy, but it's manageable if I follow along step-by-step. I just wish the code provided was a bit more organized. I'm looking forward to the next lecture.

5.0

kbjun22

100% enrolled

It was a very informative lecture where I could learn the basic principles of AI agents that I had only heard about. Following along with the lecture, I finished the entire course without even noticing the time passing.

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 circulating that major domestic IT companies are restricting the use of OpenClaw within their offices. This is due to concerns over security and the loss of control.

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

"A massive trend 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' envisioned by Claude Code or Perplexity at a practical, in-depth 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 overcoming vague fears and mastering a technology that may become the standard of the future.

Complete System Isolation: By separating the space where the AI agent operates from your main PC, we protect your precious files and settings from AI malfunctions or data leakage threats.
Setting Up Security Guardrails: You will learn how to set up technical boundaries 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 are concerned about, you will transform into 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 course, 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 predict security threats and establish defense strategies, going beyond just being a user who utilizes features.

Building Autonomous Agents Beyond Simple Chatbots: Instead of a chatbot that only answers questions, you will transplant Agentic AI that thinks and acts on its own into your PC.
Achieve overwhelming productivity: You will be freed from the tedious manual work of copying and pasting every time, experiencing improved efficiency compared to before.
Technology that captures both security and efficiency: You will gain the 'real skill' of safely containing and utilizing AI within a Docker sandbox.
An AI headquarters without expensive subscription fees: You will own a system that runs top-tier intelligence at all times at a reasonable cost by integrating the Gemini 2.5 Flash API.

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 advantage'

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 practice within an isolated learning environment (Docker), we will transform you into 'an AI expert who understands security'.

💻 I highly recommend this course to the following people!

Developers and practitioners tired of repetitive tasks: Those who want to be freed from the manual labor of summarizing hundreds of files and writing reports.
Learners concerned about their PC's security: 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 past the era of chatbots and preoccupy the next-generation standard, 'Agent' technology.
Technology leaders torn between security and efficiency: Those who want to learn how to technically control security risks while still leveraging the power of AI technology.

Section 1. Orientation – Why ‘Agents’?

Understand the difference between chatbots and agents intuitively.
You will get a big picture of how OpenClaw.ai operates and how much we will build in this course.
We summarize the hardware cost-effectiveness strategy that utilizes existing PCs and laptops without additional costs, and provide a pre-installation checklist as a free guide.

Section 2. Environment Setup – Creating a Secure AI Workspace

Install Docker and configure a security sandbox environment isolated from your PC.
By creating the config and workspace folder structures yourself, you will learn how to distinguish between "where configuration files go vs. where actual work files go.".
Through volume mount settings, safely connect the local folder ↔ inside the container.
Docker/Linux commands that are easy to confuse are supplemented with a free guide cheat sheet.

Section 3. Equipping the Brain – Gemini API Integration

Practice how to issue a Gemini API key from Google AI Studio and manage it securely.
Try your first boot with the minimum configuration file (openclaw.min.json) and experience the process of filling out your own openclaw.json through onboarding.
We provide a System Prompt template as a free guide to help you define "what kind of assistant this AI is and what tone and principles it works with."

Section 4. Hands-on Practice – Autonomous File Control

Set the IDENTITY/USER profile through the OpenClaw dashboard chat to define the AI assistant's persona and its owner.
Observe firsthand the workflow where it scans a specific folder on its own, identifies the file list, and selects the necessary tools to use.
We will practice entrusting an entire example project folder, such as cafe_project, to the AI, having it summarize planning proposals, calculate budget totals, and organize to-do lists from meeting minutes, and then automatically generate a final_report.txt. (báo cáo_cuối_cùng.txt).
You will learn "how to make a single line of prompt perform multiple tasks simultaneously."

Section 5. Wrap-up – Review and Preview of Next Steps

We will summarize the entire workflow from installation to automatic report generation once more and cover precautions for maintenance and updates.
We will summarize the roles of the model (Gemini), the agent (OpenClaw), and the user with analogies to make them easy to remember.
Briefly preview what features will be expanded in the upcoming lectures (remote control, Telegram integration, etc.).

Section 6. Security Special Lecture – Minimum Defense Strategies to Protect My Assistant

In this section, we will practice raising the security level of the already well-functioning OpenClaw assistant to a point where it is suitable for use in real-world environments. Going beyond simply "hiding keys," you will learn through firsthand experience with code and configuration files exactly what is dangerous to leave behind and where.

Instead of leaving the Gemini API key as plain text in configuration files like auth-profiles.json, we will change the method to moving it to the host OS environment variables and then injecting it into the container.
Remove unnecessary flags (--allow-configured) from the command option in docker-compose.yml to reduce the scope of settings the agent can access. để giảm phạm vi cấu hình mà tác nhân có thể can thiệp.
We will also refactor the token password to be passed via environment variables instead of being written directly in the file, reducing the risk of accidental uploads to repositories or exposure during screen sharing.
Through these tasks, you can naturally understand the difference between "convenient settings for development/practice" and the "safety measures required for an agent running on an actual PC."

After listening to this section, you will develop the sense that “keeping my assistant safe is just as important as making it smarter,” and your fundamental habits for handling API keys and tokens will change when working on other projects in the future.

📢 A word from the instructor

Will you remain a quitter who says, "I can't do it because of security," or "I will build a system that achieves 10x efficiency through safe control" will you become a leader who says that?

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 could lead to overlooking "security," which is one of the most important essentials. Therefore, I designed this course with security in mind, and I plan to continue covering it as an integral part of the curriculum moving forward.

Furthermore, this course goes beyond the mere use of OpenClaw, focusing on building a 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 competitive intellectual who leads upcoming trends, so please don't give up until the end; I hope we can adapt well and thrive together in this new era.

Keep it up!

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 the "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 on designing the logical structure of "how to put AI to work for my tasks," rather than on 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 numerous 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 release an agent across your entire PC without 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 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 carefully decided on this after concluding 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, once you have built a solid foundation, I believe 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?

After completing the Part 1 lecture, you will have a 'capable 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 via smartphone (Telegram) even when you are away from home. First and foremost, I believe the most important thing is to solidly build the assistant's 'intelligence' and 'work 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 wary of 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.

Practice Environment Operating System and Version (OS)

Windows 10/11 (Both Home and Pro versions available)
macOS (Both Intel and Apple Silicon supported)
Linux (All distributions 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 smoothly run Docker and the browser simultaneously)
Storage: Approximately 20GB or more of free space (for storing Docker images and project files)

Tools Used: Docker Desktop (or Docker Engine)

This is a core tool for building an isolated workspace (sandbox) for the agent.
We will cover the installation process in detail during the lecture, so you do not need to install it 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 brain of the agent.
This course utilizes a 'Paid Tier (Free of Charge)', so there may be some additional costs incurred during the hands-on exercises. (Google account required)

Network Environment

Since you need to communicate with Google's AI servers in real-time, a stable internet connection is required.

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

6,669

Learners

281

Reviews

124

Answers

4.8

Rating

Courses

Main languages or technologies: Java, Spring Framework, RxJava, Reactor, Spring WebFlux
Worked as a Backend Developer at Penta Security Inc. (From 2015.07 To 2022.01)

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

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

- Author of

Reactive Programming Starting with Spring

Hello, I'm Kevin. ^^

I am very happy 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, constantly honing one's skills to keep up with ever-changing trends is the only way to survive. I am one of those developers who enjoys developing software while maintaining a mindset of always learning.

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

I will continue to reach out to students through various courses that provide practical help. Thank you.

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

Curriculum

All

19 lectures ∙ (1hr 59min)

Course Materials:

Lecture resources

Section 1. Orientation

4 lectures ∙ (9min)

Section 2. Building a Secure AI Workspace

5 lectures ∙ (34min)

5. [Practice] Installing Docker and Understanding Security Sandboxes
08:32
6. [Free Guide 2] Installing Docker and Building a Security Sandbox
7. [Practice] Creating the OpenClaw Project Folder and Understanding Roles
12:58
8. [Practice] Volume Mount: Securely Connecting My PC and AI Workspace
12:49
9. [Free Guide 3] Docker Commands & Troubleshooting Cheat Sheet for Absolute Beginners

Section 3. Equipping the Brain: Gemini API Integration

3 lectures ∙ (26min)

10. [Practice] Issuing a Gemini API Key in Google AI Studio
12:44
11. [Hands-on] Hello OpenClaw! First Boot and System Check
13:20
12. [Free Guide 4] Hello OpenClaw! Agent Initial Setup and Troubleshooting Guide

Section 4. Hands-on Practice: Autonomous File Control

4 lectures ∙ (26min)

Section 5. Wrapping up

2 lectures ∙ (6min)

Section 6. Security Special Lecture

1 lectures ∙ (15min)

Published: 03/09/2026

Last updated: 04/02/2026

Reviews

All

14 reviews

4.9

14 reviews

insamdrink3364
Reviews 3
∙
Average Rating 4.3
03/23/2026
5
74% enrolled
As a humanities major, it's not exactly easy, but it's manageable if I follow along step-by-step. I just wish the code provided was a bit more organized. I'm looking forward to the next lecture.
- kevin
  Instructor
  03/24/2026
  Hello Jinsu, Thank you so much for sharing the inconveniences you experienced in your course review. Reflecting on your feedback, I have just posted a new announcement regarding a more systematic update to the management of the lecture materials (including code). Part 2 of the lecture is expected to open as early as this week, or by next week at the latest. If you encounter any other inconveniences, please feel free to share your feedback anytime! Thank you!
ahnyesin13
Reviews 4
∙
Average Rating 4.8
04/16/2026
5
63% enrolled
It's fun
- kevin
  Instructor
  04/16/2026
  I'm glad you're finding it fun. ^^ It gets even more interesting once you've actually built everything, so I'd like to ask you to stick with it until the very end~ Thank you!
jihoonyang6760
Reviews 1
∙
Average Rating 5.0
04/10/2026
5
32% enrolled
- kevin
  Instructor
  04/10/2026
  Thank you for leaving a course review!
oliviahong7761
Reviews 1
∙
Average Rating 5.0
04/17/2026
5
32% enrolled
- kevin
  Instructor
  04/17/2026
  Thank you for leaving a course review! Have a great time with OpenClaw!
kmkang2281
Reviews 8
∙
Average Rating 4.9
04/10/2026
5
63% enrolled
- kevin
  Instructor
  04/10/2026
  Thank you for leaving a review! I hope it was helpful!

Kevin's other courses

Check out other courses by the instructor!

[Basic Part 2.5] OpenClaw.AI Master Class: Fundamentals of Multi-Agent Team Design and Role Separation

Kevin

If you follow OpenClaw Parts 1 and 2, you eventually end up making a single agent do everything. As you do this, there comes a moment when prompts get tangled, memory gets mixed up, folders get messy, and you feel stuck, not knowing how to organize things anymore. This lecture is the "Introduction to Multi-Agents (Part 2.5)," designed to help you move one step further from that point. While maintaining a single bot, we will separate roles into two agents—planner and editor—and connect each agent to different workspaces and Telegram forum topics. You will personally build a structure where "different agents respond depending on which room you speak in." By following the hands-on practice, you will have the following in your environment: - A configuration file defining two agents: `content_planner` and `content_editor`, - A content folder structure where planning and drafting are separated, - A Telegram group chat where different agents are attached to specific forum topics, - And one actual draft of an Inflearn course introduction created through the collaboration of the two agents. In short, this is a practical class that helps you design the first step of upgrading your Telegram bot from a "single AI assistant" into a "small AI team with divided roles."

Basic

Business Productivity, orchestration, multi-agent

[Basic Part 2.5] OpenClaw.AI Master Class: Fundamentals of Multi-Agent Team Design and Role Separation

Kevin

[Part 2: Basics] OpenClaw.AI Master Class: A Smartphone Remote Assistant Completed with Telegram and Vision AI

Kevin

This is an introductory course on a mobile AI assistant workflow with vision capabilities: when you send a photo of a receipt via Telegram on your smartphone, OpenClaw and Gemini 2.5 Flash automatically analyze it and organize the data into your PC workspace.

Basic

Business Productivity, telegram-bot, gemini

[Part 2: Basics] OpenClaw.AI Master Class: A Smartphone Remote Assistant Completed with Telegram and Vision AI

Kevin

[Java Practical Project for Beginners] Object-Oriented Thinking Training - 3 Mini-Project Practices

Kevin

From small projects to practicing structure building! A hands-on, mini-project-based introductory course for those who lack experience in Java object-oriented design and practice. From the basics to structural thinking, improve your skills by implementing a Java application from start to finish.

Basic

Java, IntelliJ IDEA, dip-principle

[Java Practical Project for Beginners] Object-Oriented Thinking Training - 3 Mini-Project Practices

Kevin

[Java Advanced Practical Project] Spring Core + H2 Based Food Truck Kiosk System Development

Kevin

A Java advanced project course for beginner developers who want to develop practical skills! We'll build a console-based kiosk ordering system together using Spring Core, JdbcClient, and H2 DB.

Basic

Java, Spring Boot, DDD

[Java Advanced Practical Project] Spring Core + H2 Based Food Truck Kiosk System Development

Kevin

Kevin's Easy-to-Understand Java Developer Roadmap Story

Kevin

Kevin's Easy-to-Understand Java Developer (Web Developer) Roadmap Story

Beginner

Java

Kevin's Easy-to-Understand Java Developer Roadmap Story

Kevin

Kevin's Easy-to-Understand Spring Reactive Web Applications: Reactor Part 2

Kevin

Reactor, one of the core technologies of Spring WebFlux-based reactive applications, and Reactor Operator, which can be said to be the most important part of Reactor, if you want to make it yours, take the `Kevin's Easy-to-Understand Spring Reactive WebApplications: Reactor Part 2` lecture.

Basic

Reactive Programming, Spring, project-reactor

Kevin's Easy-to-Understand Spring Reactive Web Applications: Reactor Part 2

Kevin

Kevin's Easy-to-Understand Spring Reactive Web Applications: Reactor Part 1

Kevin

If you want to create a reactive application based on Spring WebFlux, take Kevin's easy-to-understand Spring Reactive WebApplications course. He will kindly guide you into the world of reactivity. ^^

Basic

Reactive Programming, Spring, project-reactor

Kevin's Easy-to-Understand Spring Reactive Web Applications: Reactor Part 1

Kevin

[Java Practical Project UI Edition] Building a Movie Information Application Based on Spring Core + JavaFX

Kevin

In [Java Practical Project: UI Edition], we will create a movie information application that operates solely on pure Java technology using JavaFX. This course is designed to help you deeply understand the "structure connecting screens and logic" by directly implementing UI event handling, asynchronous logic, and user interaction flows in Java before moving on to web and smartphone apps. You will train your structural thinking by separating business logic and UI through integration with Spring Core, and learn how to solve UI performance degradation issues that may occur when fetching movie information from external APIs using asynchronous processing. Through this, you will clearly understand the principles of data flow, event listeners, and thread-based asynchronous processing, elevating your understanding of the Java language itself to the next level. In short, this course is a "practical stage to experience the essence of UI and the core of asynchronous processing with Java before moving to the web." Do not forget that this is not a class for just typing along with code, but a learning experience where you can personally master the principles of connecting UI and logic.

Basic

Java, JavaFX, Web API

[Java Practical Project UI Edition] Building a Movie Information Application Based on Spring Core + JavaFX

Kevin

Kevin's Easy RxJava Part 2

Kevin

Want to break through the barriers to entry that are reactive programming? Kevin's easy-to-understand RxJava will empower you to overcome them.

Basic

Functional Programming, RxJava, Reactive Streams

Kevin's Easy RxJava Part 2

Kevin

Kevin's Easy RxJava Part 1

Kevin

Want to overcome the barrier to entry that is reactive programming? Kevin's Easy RxJava will empower you to break down that wall.

Basic

Functional Programming, RxJava, Reactive Streams

Kevin's Easy RxJava Part 1

Kevin

Similar courses

Explore other courses in the same field!

[Inflearn Award Bestseller] How to Become an AI Automation Expert Without Coding, The Complete n8n Guide

nambaksa

Do you still code directly these days? Now is the era where even vibe coding is too much hassle! Become an AI automation expert with n8n without coding. A practical automation workflow design guide you can apply immediately at work Action-oriented automation strategies that maximize work efficiency. Build intuitive workflows with n8n and experience workplace innovation

Beginner

n8n, AI, RAG

[Inflearn Award Bestseller] How to Become an AI Automation Expert Without Coding, The Complete n8n Guide

nambaksa

[Part 2: Basics] OpenClaw.AI Master Class: A Smartphone Remote Assistant Completed with Telegram and Vision AI

Kevin

Basic

Business Productivity, telegram-bot, gemini

[Part 2: Basics] OpenClaw.AI Master Class: A Smartphone Remote Assistant Completed with Telegram and Vision AI

Kevin

[Spring AI in Action] Building Your Own 24/7 Code Reviewer & Auto-Grading Agent

bitcocom

An AI system that grades and reviews your code in 5 seconds - imagination becomes reality. This course is an all-in-one project that builds a **'GitHub PR Automatic Analysis and Grading Bot'** using Spring AI. When a student submits an assignment (Pull Request), the server detects it and AI analyzes the code changes (Diff). The grading results are then stored in the database, feedback is automatically posted as GitHub comments, and students can check their results on a dedicated dashboard. From backend to AI integration and frontend (Vaadin) - all with Java! This is the ultimate introductory guide for all developers who want to complete their own AI service from A to Z.

Basic

Java, backend, AI Agent

[Spring AI in Action] Building Your Own 24/7 Code Reviewer & Auto-Grading Agent

bitcocom

[Instruction Provided] Sam Altman's Claude Practical Setup: Creating an Efficient AI Assistant

aladinacademy

Are you using AI but still unable to get it to do the work for you? This course is not just about simple usage; it is a process of creating your own "high-performing AI assistant." By mastering everything from prompt principles to personalization settings and task automation at once, you can delegate repetitive tasks to AI and create a new way of working that allows you to focus on your core responsibilities.

Basic

Business Productivity, AI, prompt engineering

[Instruction Provided] Sam Altman's Claude Practical Setup: Creating an Efficient AI Assistant

aladinacademy

[AI Cheat Sheet] The secret to finishing work instantly, Agentic AI

skmns

Innovation in Work Efficiency and Creativity – Agentic AI AI is now evolving beyond simple automation into a new stage where it can judge and execute on its own. Agentic AI is at the center of this change, serving as a core technology that helps businesses and organizations operate smarter. In this course, we have organized the content clearly and simply so you can understand how Agentic AI connects decision-making with execution and how it can be applied to practical work. Discover the essential knowledge for every professional preparing for the future right now.

Beginner

gemini, AI, ChatGPT

[AI Cheat Sheet] The secret to finishing work instantly, Agentic AI

skmns

Get Started with Claude Code Faster Than Anyone Else | E-book

Neo

Get Started with Claude Code Faster Than Anyone Else | E-book Learn Claude Code quickly and start automating your work!

Beginner

AI, Business Productivity, Self Improvement

Get Started with Claude Code Faster Than Anyone Else | E-book

Neo

Automating my entire daily routine with Builder Josh's Claude code and multi-agents

aladinacademy

The most rapidly emerging task automation tool recently is 'Claude Code.' Through Claude Code, you can deploy AI agents within your computer that work exclusively for you and create a system where repetitive tasks are assigned to the AI one by one. Try automating 100% of the once-exhausting tasks like PPTs, reports, and Excel work.

Basic

AI, AI Agent, product details webpage

Automating my entire daily routine with Builder Josh's Claude code and multi-agents

aladinacademy

[Basic Part 2.5] OpenClaw.AI Master Class: Fundamentals of Multi-Agent Team Design and Role Separation

Kevin

Basic

Business Productivity, orchestration, multi-agent

[Basic Part 2.5] OpenClaw.AI Master Class: Fundamentals of Multi-Agent Team Design and Role Separation

Kevin

Stock Vibe Coding for Beginners - An AI-Powered Automated Stock Trading System

yalco

Even those who know nothing about coding will be able to create their own automated stock trading program by giving commands to AI in Korean!

Beginner

gemini, AI, Cursor AI

Stock Vibe Coding for Beginners - An AI-Powered Automated Stock Trading System

yalco

Getting Started with the Vibe Coding Trend and MCP_Cursor AI

Masocampus

AI agents, the latest trend in generative AI! How to stay ahead with Cursor, which handles all your development tasks, and MCP, which expands its capabilities!

Beginner

cursor, mvp, AI Agent

Getting Started with the Vibe Coding Trend and MCP_Cursor AI

Masocampus

AI Beginner-Intermediate 4-Week Challenge - 15 AI Tools All at Once! (Including Detailed Study Materials + Assignments)

seulkikang

Which AI tool should I learn first? Stop worrying now! - Rated 4.8 by 80 students ⭐️⭐️⭐️⭐️⭐️ - ChatGPT, Claude, Gemini, Genspark, NotebookLM, Gamma, Skywork, Manus, Antigravity, Claude Code, MiriCanvas, Opal, CapCut, and more - Learn the core features of over 15 tools very easily over 20 days. - Through weekly assignments, we provide a course you can "internalize" rather than just "passively listen to." - All-in-one coverage: Prompt Engineering > Image Generation > PPT & Video Creation > Vibe Coding - 4 hours of lecture videos + weekly study materials + assignment certification system

Beginner

gemini, AI, ChatGPT

AI Beginner-Intermediate 4-Week Challenge - 15 AI Tools All at Once! (Including Detailed Study Materials + Assignments)

seulkikang

The Trend is Vibe Coding, Starting with Claude Code: An Introduction to the Next-Generation Development Paradigm Completed by Intent Alone

Masocampus

It's okay if you don't know a single line of code. We are now in the era of 'Vibe Coding,' where you develop by 'conversing' with AI.

Beginner

AI Agent, Vibe Coding, claude

The Trend is Vibe Coding, Starting with Claude Code: An Introduction to the Next-Generation Development Paradigm Completed by Intent Alone

Masocampus

Practical Harness Engineering Completed in 2 Hours

knodark74

Building an MVP with AI is no longer difficult. However, most projects stop at the next stage. 👉 You’ve built the features 👉 But development doesn't continue Why does this happen? The problem isn't the code; 👉 It's because there is no structure that allows AI to work continuously. --- In this course, based on an existing project, 👉 We will cover the process of building a structure 👉 That allows AI to continue development on its own. --- Instead of simply using AI tools, we will: * Create a docs structure * Define the SSOT (Single Source of Truth) * Execute development on a per-ticket basis * Connect QA and iteration cycles 👉 To complete a single "AI Development System." --- Through this process, you will: 👉 Create a structure where development continues 👉 Even without a human manually coding. In other words, you can: 👉 Build and understand a development system 👉 That operates AI like a team. --- This course is designed for: 👉 Those who want to build a structure applicable to their projects immediately 👉 Those who started development with AI but found it difficult to sustain 👉 Those who want to move to the next level after "Vibe Coding" --- Beyond just learning, we provide an experience where you: 👉 Take action 👉 Build a structure that actually works 👉 And walk away with a framework you can apply to your own projects.

Basic

Python, cursor, ChatGPT

Practical Harness Engineering Completed in 2 Hours

knodark74

Modern English learning methods with an AI Agent English tutor! (April Update!!)

Terry Lee

How to speak English like a native while saving millions of won in academy fees: Study not just simple speaking, but Reading + Writing + Listening + Speaking + IELTS all together with an AI Agent!

Basic

English, AI, AI Agent

Modern English learning methods with an AI Agent English tutor! (April Update!!)

Terry Lee

AI Full-Stack Designer Master Class

Sarah

The goal is to cultivate a full-stack perspective that allows individuals to lead the entire product lifecycle, covering everything from research automation and backend data integration to the deployment of live dynamic websites. We empower those who want to strengthen their competitiveness in the AI era by providing the ability to use these tools as a powerful engine to turn ideas into reality.

Beginner

Google Analytics, Figma, UX Research

AI Full-Stack Designer Master Class

Sarah

Hands-on! Building Intermediate AI Agent Services with LangChain and LangGraph: From RAG to Multi-Agents

YoungJea Oh

Simple tutorials alone make it difficult to apply in practice. I will clearly pass on my professional know-how, covering complex state management and multi-agent design methods.

Basic

AI, ChatGPT, prompt engineering

Hands-on! Building Intermediate AI Agent Services with LangChain and LangGraph: From RAG to Multi-Agents

YoungJea Oh

Cursor AI for 2x Productivity Java Spring Development

ishrhrl

"The Era of Coding with AI: A New Productivity Paradigm for Java Developers" This course is a practical Cursor AI utilization guide for Java developers. Beyond simply copying AI-generated code, you'll learn Vibe Coding methods that maximize development efficiency through collaboration with AI. By leveraging Cursor's powerful code understanding, refactoring, and documentation features, you'll master AI coding workflows step by step that can be immediately applied to real-world projects. In an era where AI writes code for us, "developers who can effectively work with AI" now have the competitive edge. Start your upgraded development experience as a Java developer with this course.

Basic

Java, Spring, Business Productivity

Cursor AI for 2x Productivity Java Spring Development

ishrhrl

[Meetup VOD] The Future of Work Seen Through the Working Style of an AI Native Company

golbin

The real story of an AI-native company run by GolbinHacker, the 1st place winner of Kakao AI TOP 100 and author of the bestseller "The Best Prompt Engineering Lecture." It explores how just two developers build and operate a service, along with the new competencies developers and organizations need in the AI era through real-world cases.

Beginner

Business Productivity, AI, organization management

[Meetup VOD] The Future of Work Seen Through the Working Style of an AI Native Company

golbin

AI Utilization Guide: E-book Creation Edition

sarc

Learn a complete workflow for efficiently creating your own e-book utilizing AI and automation tools. From slide creation with Marp and PDF/EPUB conversion using Pandoc, to MySQL database management, cover design, and publishing preparation, this guide provides a systematic production process applicable directly in practice, step-by-step.

Beginner

markdown, ChatGPT, claude

AI Utilization Guide: E-book Creation Edition

sarc

Google's Most Powerful AI Weapon, Gemini Business Automation A to Z – Google Workspace Secret Class

Masocampus

The Gemini agent that works across Google Drive! Put the finishing touches on your Google AI workflow with overwhelming productivity.

Beginner

gemini, AI, Business Productivity

Google's Most Powerful AI Weapon, Gemini Business Automation A to Z – Google Workspace Secret Class

Masocampus

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

4.9

What you will gain after the course

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

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

🚀 After taking this course, you will experience these changes

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

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

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

💻 I highly recommend this course to the following people!

📜 Lecture Section Introduction

Section 1. Orientation – Why ‘Agents’?

Section 2. Environment Setup – Creating a Secure AI Workspace

Section 3. Equipping the Brain – Gemini API Integration

Section 4. Hands-on Practice – Autonomous File Control

Section 5. Wrap-up – Review and Preview of Next Steps

Section 6. Security Special Lecture – Minimum Defense Strategies to Protect My Assistant

📢 A word from the instructor

Will you remain a quitter who says, "I can't do it because of security," or "I will build a system that achieves 10x efficiency through safe control" will you become a leader who says that?

⚙️ Download Lecture Materials

🧰 Tech Stack Used

✅ Do you have any questions?

💡 Notes before taking the course

Precautions

Recommended for
these people

Hello
This is Kevin

Curriculum

Reviews

Kevin's other courses

Similar courses

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

4.9

What you will gain after the course

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

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

🚀 After taking this course, you will experience these changes

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

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

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

💻 I highly recommend this course to the following people!

📜 Lecture Section Introduction

Section 1. Orientation – Why ‘Agents’?

Section 2. Environment Setup – Creating a Secure AI Workspace

Section 3. Equipping the Brain – Gemini API Integration

Section 4. Hands-on Practice – Autonomous File Control

Section 5. Wrap-up – Review and Preview of Next Steps

Section 6. Security Special Lecture – Minimum Defense Strategies to Protect My Assistant

📢 A word from the instructor

Will you remain a quitter who says, "I can't do it because of security," or "I will build a system that achieves 10x efficiency through safe control" will you become a leader who says that?

⚙️ Download Lecture Materials

🧰 Tech Stack Used

✅ Do you have any questions?

💡 Notes before taking the course

Precautions

Recommended for these people

HelloThis is Kevin

Curriculum

Reviews

Kevin's other courses

Similar courses

Recommended for
these people

Hello
This is Kevin