📅 Published: 2026-03-17

🏷️ Course Type: AI Agents / Automation / Side Hustle Monetization

⏱️ Learning Duration: 7-Day Practicum Bootcamp

👨‍🏫 Instructor:Liuliu, Dachong (Project Founders)

🎯 Who this is for: AI side-hustle explorers, professionals seeking workplace efficiency, self-media automation operators

Are you curious about AI agents but don't know where to start? This OpenClaw (Crayfish) 7-Day Beginner Practical Training Camp is tailor-made for you. Led personally by project foundersLiuliu, Dachong, we abandon boring theory and adopt a"produce results on Day 1"practical approach, guiding you step by step to build your own AI automation system from scratch.

In just 7 days, you will systematically masterOpenClaw, this powerful AI agent framework's core skills. Starting from the most basiclocal and cloud environment deployment, to developing reusableAI skill modules (Skill), and then to achievingautomatic writing and publishing of WeChat official account articlesin a complete workflow. The course not only teaches you technology, but focuses more onbusiness applications and monetization. You will learn how to configuremulti-agent collaborative teams, letting AI "employees" each fulfill their roles, and finally break down variousasset-light monetization modelsto find the money-making path that suits you best.

Whether you want to start anAI side hustle, or hope to use automation tools toimprove workplace efficiency, or achieveautomation of self-media content production, this training camp will provide you with a clear, actionableroadmap and practical results, helping you quickly step into the door of AI agent applications and build future competitiveness.

Phase 1: Environment Setup and Core Skills Mastery (Day 1-2)

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1. Deploy OpenClaw from scratch: local and cloud environment configuration, successfully run your first AI assistant
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2. Master OpenClaw Skill development logic: hands-on development of 3 reusable practical AI skill modules
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Phase 2: Automation Workflow in Practice (Day 3-5)

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3. Practice: Use OpenClaw to achieve automatic writing for WeChat official accounts, running through the complete automated publishing workflow for a commercially usable article
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4. Extension: Build a multi-platform content generation system to form an automated content production pipeline
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5. Advanced: Master OpenClaw multi-Agent collaboration logic and configure a team of 3 AI "employees" with clear division of labor
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Phase 3: Business Application and Model Exploration (Day 6-7)

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6. In-depth breakdown of 10+ asset-light monetization models to identify a suitable OpenClaw money-making implementation plan for yourself
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Note: Course content is continuously updated...

💡 Learning Tip:
This training camp content is based on the OpenClaw project's version and best practices at the time of publication. The AI agent field is developing rapidly, and frameworks, tools, and APIs may be updated. It is recommended that during the learning process, you focus on itsdesign philosophy, architectural logic, and methods for building automated workflows, and actively refer to the project's official documentation and the latest community updates, flexibly applying the core methodology to the current technical environment to achieve the best learning and practical results.