OpenClaw with Silicon Valley Engineers

This course teaches you how to build AI agents from scratch to a production-ready level using OpenClaw. Beyond a simple introduction to features, you will master OpenAI, local LLMs, memory, sessions, Tools, and Skills in a single, cohesive workflow. Based on hands-on experience and know-how gained from developing AI and large-scale systems in Silicon Valley, the course explains architectures and operational methods applicable to real-world projects. By the end of the course, you will be able to design your own AI agents and implement automation by integrating them with various services. This is a practice-oriented course for those who want to go beyond just using AI and learn how to build and operate it themselves.

33 learners are taking this course

Level Beginner

Course period Unlimited

AI
AI
AI Agent
AI Agent
LLM
LLM
AI
AI
AI Agent
AI Agent
LLM
LLM

What you will gain after the course

  • You can install OpenClaw from scratch and utilize it at a professional level.

  • You can build and operate your own AI agent.

  • You can freely integrate local LLMs and OpenAI models.

  • You can build your own AI automation system that performs repetitive tasks.

🤖 From the era of using AI to the era of creating AI

Using AI like ChatGPT and Claude is now something anyone can do.

However, in the future, the ability to create 'AI Agents' that give AI tasks to perform on their own and connect them with various services to execute work automatically will become even more important.

In this course, you will learn how to build AI agents from scratch to a professional level using the open-source AI Agent platform OpenClaw.

Rather than simply introducing features, it is based on structures used in actual projects,

  • OpenClaw Installation and Operation

  • Agent / Persona / Session / Memory structure


  • Connecting OpenAI and Ollama (Local LLM)

  • Utilizing Tools, Skills, and Plugins

  • AI Automation (Cron Jobs)

  • Prompt Injection and Security

  • Voice AI (Whisper) integration

We will personally implement features that can be used in actual work, one by one.

📌 Recommended for the following people:

Those who use ChatGPT but feel lost on how to actually build an AI agent

  • I want to properly understand what an AI Agent is.

  • I want to go beyond simple prompts and create a system where AI works autonomously.

Developers who want to utilize OpenAI, Claude, and Ollama in real-world projects

  • I don't know how to connect AI to a service.

  • I want to learn how to use local LLMs and cloud models together.

Developers and professionals who want to delegate repetitive tasks to AI

  • I want to automate repetitive tasks.

  • I want to create workflows where AI performs tasks on its own.

After completing the course, you will be able to

  • You can directly install and operate OpenClaw.

  • You can design and manage your own AI Agents and Personas.

  • You can freely integrate OpenAI and Ollama.

  • You can build your own AI automation workflows and delegate repetitive tasks to AI.

  • You can understand professional-level AI Agent architecture and implement it yourself.

🧑🏻‍💻 What you will learn

Getting Started with OpenClaw

You will learn how to install and run OpenClaw, a core platform in the era of AI Agents, from scratch. From installation using Docker to Telegram integration, basic commands, and UI, you will practice so that anyone can run their first AI Agent. In addition, you will understand the internal structure of how OpenClaw works and learn how to properly design an AI Agent. You will master core concepts such as Workspace, Persona, Session, and Memory, and directly implement automation using Cron Jobs and Whisper.

Getting Started with OpenClaw

AI Business Automation Project

You will create a project that automates actual tasks using OpenClaw. You will implement workflows that connect Gmail and Google Calendar to analyze and send emails, as well as have AI periodically collect news to automatically write and publish blog posts. Through this, you will complete an AI Agent automation system that can be put into practice immediately.

Blog Automation

🙋 Do you have any questions?

Please write at least three questions and answers that prospective students might be curious about before taking the course.
Rather than cliché or formal responses, we recommend answers that reflect the instructor's unique personality.

Q. Can I take this course even if I'm new to OpenClaw?

Yes, it is possible. This course explains everything step-by-step, starting from installation, so that even those using OpenClaw for the first time can follow along. Since we will go through hands-on practice for Docker-based installation, basic usage, and core concepts one by one, even those learning about AI Agents for the first time can start without any pressure.

Q. Is the OpenAI API absolutely necessary?

It is not mandatory. However, if you are using a ChatGPT Pro or higher subscription service, you will be able to follow the lecture more comfortably. In addition, the lecture covers not only how to utilize the OpenAI API but also how to connect a local LLM using Ollama. Therefore, you can build and practice with AI Agents in a local environment without any API costs.

Q. Can I take this course even if I'm not a developer?

If you have a basic understanding of computer and terminal usage, you will be able to follow along just fine. However, since the course includes exercises using Docker and simple commands, those with development experience will find it even easier to learn.

🤔 Things to note before taking the course

💻 Hands-on Environment

  • Operating System: Practice is possible on Windows, macOS, and Linux (including Ubuntu).

  • Required Programs: It is recommended to install Docker Desktop, Git, and Visual Studio Code.

  • AI Models: If you have a ChatGPT Pro plan, you can follow the practice sessions more smoothly. We will also conduct local LLM practice using Ollama.

  • Recommended Specifications: At least 16GB of memory is recommended, and if you are using a local LLM, 32GB or more will provide a smoother experience. A GPU is not required.

📚 Learning Materials

  • All lecture materials (PDFs, slides, configuration files, and example codes) are provided.

  • We provide the Docker configuration and OpenClaw example projects required for the practice sessions.

  • Major lectures and materials will be continuously updated in line with OpenClaw updates.

📌 Prerequisites and Important Notes

  • It will be even easier to follow along if you are familiar with Docker and basic terminal (Command Line) usage.

  • We explain everything step-by-step, starting from installation, so that even those using OpenClaw for the first time can take the course.

  • If you have any questions during the lecture, you can ask them at any time through the Q&A board, and I will respond as quickly as possible.

  • Lecture materials and example codes are for personal study use only, and unauthorized distribution or resale is prohibited.

Recommended for
these people

Who is this course right for?

  • Developers who want to learn AI agents properly from scratch

  • Office workers who want to go beyond ChatGPT and implement actual task automation

  • Those who want to build AI systems by utilizing OpenAI and Ollama together

  • An engineer who wants to create AI agents and automation systems that can be utilized in practical business applications.

Need to know before starting?

  • It is helpful to have a basic understanding of how to use a computer and the terminal (Command Line).

  • It will be much easier to follow the lecture if you can install and run Docker.

  • Experience using LLMs such as the OpenAI API or Ollama is helpful for understanding, but it is not required.

  • If you are interested in AI agents and automation, even beginners can take this course.

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Are you going to finish in Korea? Penetrate the global market with English! 🌍🚀

Hello. I majored in Computer Science (EECS) at UC Berkeley 💻, have worked as a software engineer in Silicon Valley for over 15 years, and am currently a Staff Software Engineer working with Big Data and DevOps at a Big Tech headquarters in Silicon Valley.

  • 🧭 I would now like to share the technologies and know-how I learned firsthand at the forefront of innovation in Silicon Valley with all of you through online lectures.

  • 🚀 Join me, having learned and grown at the forefront of technological innovation, and develop the skills to compete on the global stage!

  • 🫡 I may not be the smartest, but I want to emphasize that you can achieve anything if you stay consistent and never give up. I will always be by your side, supporting you with great resources.

 

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