🚀 Ride the Wind:
OpenClaw Enterprise-Level Multi-Agent System Architect (AI Agent Developer)
In an era where university diplomas are severely devalued and there is a complete disconnect between academic achievements and market demand, the traditional education system can no longer provide you with a true workplace moat.DreaMot adheres to the United Nations Sustainable Development Goal SDG 8 (Decent Work and Economic Growth) concept, breaking the myth of background and prestigious schools, directly connecting to the most valuable top technologies in the market.
This time, we unlock for you the most explosive golden track in the "Advanced Practice Community" —AI Agent Developers (Enterprise-Level Privatized AI Employee Architects) track。
OpenClaw Training (AI Automation Specialist)
Our entire course helps you
A true one-person company!
Labor costs:Expensive manual handling of repetitive paperwork vs. near-zero cost OpenClaw Agent.
Use AI for sales!
Customers waiting for replies vs. instant feedback via Feishu/WhatsApp.
Free you from busyness
Manually organizing reports vs. automated Skillhub data integration.
💼 For "Working Friends / Office Workers": Break free from the educational background competition and directly advance to the core of the enterprise.
Traditional workers are facing a crisis of university degree oversaturation, mid-life unemployment, and stagnant wages. Mastering this set of skills will grant you:
Transforming from "Executor" to "Architect": You are no longer the grassroots employee who types for the boss and fills out forms every day, but the core technical officer who can set up a 24/7 automated AI team (AI Staffs) for the entire company.
One person equals a team's "Value Ceiling": Mastering cloud multi-agent orchestration and Python external tool invocation allows you to develop advanced systems that link the company's CRM and ERP by yourself, becoming the "lone warrior" who is least likely to be laid off and even crazily promoted.
International certification and practical work as dual moats: The course includes guidance for Microsoft official international certifications (AI-901 / AI-103) and a production-level AI employee portfolio that you personally deploy in the cloud. Bring real online systems to interviews, directly outshining competitors who only have prestigious diplomas but cannot code.
🚀 For "Entrepreneurs / Independent Developers": Launch a one-person business war at an extremely low cost.
Entrepreneurs often fail due to "high R&D costs" and "lack of efficient teams." This track will empower you to:
Build a zero-salary, sleepless "Digital Employee Empire": By using the open-source OpenClaw framework and advanced Hermes model fine-tuning, you can customize business BD, 24/7 customer service, and automated data analysts for your own business without needing to organize a large team. Your R&D and operational marginal costs will approach zero!
Defend absolute business secrets (data sovereignty): SaaS tools on the market are always at risk of data leaks. We exclusively teach thePrivatized "AI Edge Box" and local database integration, allowing you to run the company's core business logic in a completely isolated internal network without worrying about customer data leakage.
Rapidly validate MVP and commercial monetization: Combining agile prototype design from Module 1, you can incubate a crazy startup idea into a workable AI intelligent agent within days and directly push it to the market through all channels (WhatsApp / Discord) to obtain the first cash flow, no longer wasting hundreds of thousands of Hong Kong dollars exploring the market.
Course Instructor: Bruno Wong (Mr. Huang Xiaobin)
Started entrepreneurship in high school to pursue dreams, teaching programming and using platforms to develop projects, business management, etc.; now also an AI instructor, speaking at large overseas events and local institutions and schools in Hong Kong, advocating for everyone to use AI to bring better lives, achieving the United Nations Sustainable Development Goal 8 - decent work and economic growth.
Course Modules (Curriculum)
In the 3 to 4 month direct mentorship, you will start from scratch and personally design, deploy, and govern a "24/7 Virtual Employee (AI Staffs)" with autonomous decision-making capabilities for the enterprise. Here are your four core training modules:
🏛️ Track Module 1: Automated AI Operation Closed Loop and AnythingLLM Agile Prototyping
(Module 1: Foundational Agentic AI & AnythingLLM Prototyping) 【Main Task: Master the operational closed loop of intelligent agents thoroughly before touching complex code, completing no-code/low-code rapid prototyping.】
Core Agentic Concepts: Break the stereotype of "ordinary chatbots" and deconstruct the four pillars of intelligent agents—Perception, Planning, Action, and Memory—perfectly aligning with the authoritative Johns Hopkins University (JHU) Agentic AI core framework.
LLM Fundamentals: Deeply understand the underlying behaviors of large language models, master prompt boundaries, system personas, temperature tuning, and advanced token management to achieve precise control over AI.
AnythingLLM Rapid Prototyping: Set up a workspace for local production environment, smoothly build, test, and iterate the decision logic of intelligent agents in a no-code frictionless environment.
RAG & Vector DB Basics: Learn enterprise-level document ingestion, precise data chunking strategies, embedding models, and vector storage architecture to fundamentallyeliminate AI model hallucinations, ensuring answers are 100% accurate.
Built-in Action Skills: Configure essential native tools (including automated web scraping and lightweight API execution), witnessing how your AI agent takes specific autonomous actions.
🌐 Track Module 2: Cloud Infrastructure Construction and Omnichannel Production Deployment
(Module 2: Cloud Infrastructure & Omnichannel Deployment) 【Main Task: Transition your AI agent from a local desktop to a highly scalable, secure, and real-time operational cloud production infrastructure, connecting with the real world.】
Application Containerization: Learn to write robust, clean Dockerfiles to securely package complex AI workloads and manage sensitive environment variables (.env) strictly and safely.
Cloud Architecture Setup: Deploy containerized applications to industrial-grade cloud ecosystems (such as Google Cloud Run or highly elastic serverless computing infrastructure).
Security & API Gateways: Build secure HTTPS network endpoints, manage real-time cloud traffic for enterprises, and implement strict token security authentication and API quota traffic limits.
Omnichannel Integration: Configure an advanced and secure Webhook handshake protocol, to be deployed in the cloud AI intelligent brain, seamlessly connecting to high-traffic real-time communication channels (such as WhatsApp and Discord), allowing users to wake up AI anytime, anywhere.
☁️ Track Module Three: Cloud-Native Enterprise-Level Multi-Agent Orchestration (OpenClaw & Hermes)
(Module 3: Cloud-Native Enterprise Agents - OpenClaw & Hermes) 【Main Task: Fully transition to high-level code. Break through the limitations of rigid GUI interfaces, write Python native code, deploy the OpenClaw framework, and unlock enterprise-level deep intelligence.】
Transition to Cloud-Native OpenClaw Core (Transition to Cloud-Native OpenClaw): Break through the black box limitations of third-party tools, directly initialize and configure Python native OpenClaw open-source agent framework on cloud production servers.
Hermes Level Advanced Model Optimization (Hermes Model Optimization): Implement and fine-tune highly optimized Hermes models in cloud infrastructure, demonstrating top performance in advanced logical reasoning, strict instruction-following, and function-calling.
Deep Feishu / Lark Integration (Deep Feishu / Lark Integration): Build customized enterprise Feishu (Lark) applications directly driven by the cloud OpenClaw engine, natively handling complex enterprise event subscriptions and workflow notifications.
Interactive Cloud Workflows (Interactive Cloud Workflows): Design dynamic, interactive "Rich-text Cards" in the communication suite, allowing enterprise employees to trigger autonomous cloud callback functions directly by clicking buttons.
Custom Python Tool-Calling (Custom Python Tool-Calling): Write powerful server-side Python functions, empowering your cloud AI staff with the ability to autonomously query internal enterprise CRM, ERP, or real-time relational databases.
Cloud Multi-Agent Orchestration (Cloud Multi-Agent Orchestration): Design complex state machines and collaborative multi-agent workflows, enabling multiple specialized cloud AI agents to converse, autonomously divide tasks, cross-review, and validate complex tasks.
🖥️ Track Module Four: Customized AI Staff Delivery, Data Sovereignty Governance & Local Extension
(Module 4: Customized AI Staff, Private Governance & Local Extension) 【Main Task: Achieve top-tier enterprise delivery standards. Perfectly combine cloud logic with local physical hardware and isolated internal networks to safeguard absolute corporate data sovereignty.】
The Private "AI Box": Evaluate, optimize, and deploy productive edge computing hardware (Mini-PC), enabling it to securely handle heavy enterprise confidential workloads locally.
Hybrid Cloud-to-Local Data Pipelines： Build a seamless, secure real-time data synchronization mechanism that safely connects the cloud-hosted OpenClaw/Hermes engine with local infrastructure.
Private Database Integration： Connect AI intelligent agents to the core databases within the enterprise, using strict Role-Based Access Control (RBAC) permissions to ensure absolute isolation and security of sensitive corporate files and customer assets.
Multimodal Peripherals & UI Wrappers： Package advanced backend systems behind aesthetically pleasing, intuitive enterprise-grade graphical interfaces (such as Open-WebUI), and tune real-time voice recognition parameters to make AI visible and understandable.
Enterprise Handover & Maintenance： Learn to perform rigorous Concurrency Stress Testing, build centralized logging and monitoring dashboards, and write comprehensive technical operation maintenance manuals to achieve perfect enterprise-level project delivery.
💼 Career Achievements and DreaMot Ecosystem Advantages
After completing this hardcore career adventure of 3-4 months, you will transform into a highly sought-after AI Agent Architect or Enterprise Workflow Automation Engineer。
More importantly, we reject the notion of "graduation equals unemployment." Through DreaMot's sister company IdeaCray's B2B business transformation and consulting network, outstanding advanced learners will directly participate in real corporate AI upgrade projects through project-based apprenticeship programs or Income Share Agreement (ISA) models.
We do not sell flashy academic diplomas; we only sell the skills and worldview that empower you to take control of your destiny.
Course FAQ
In this section, you can efficiently answer common customer questions.
Is this course suitable for someone with no programming background?
Yes! The course starts with the basic concepts of AI Agents and gradually guides you through installing OpenClaw. Even if you have no programming experience, you can keep up. We will teach Docker deployment, API connections, and Skillset configuration step by step, focusing on practical application rather than deep coding. Basic computer skills (such as installing software and using terminal commands) are recommended. If you have some experience using AI (like ChatGPT), you will learn faster.
What is OpenClaw?
OpenClaw is an open-source personal AI Assistant (commonly known as "Lobster" 🦞) that can run on your own computer, phone, or VPS. It can automatically help you handle tasks through channels you already use, such as WhatsApp, Feishu (Lark), WeChat Work, Discord, etc., like replying to customers, generating reports, managing calendars, and more.
What hardware or software do I need to prepare?
A computer that can run Docker (Windows / macOS / Linux)
Optional: VPS (such as AWS, DigitalOcean, local cloud servers in Hong Kong) for 24/7 operation
Is the course online or in-person? Are there recorded sessions?
The course is primarily conducted through online live sessions (Zoom), with small class sizes for better interaction. All classes provide recorded videos + materials + configuration files for easy access if you miss a class or want to review. Corporate training can be arranged for in-person or customized times.
Does OpenClaw have security risks? Will the course teach how to protect against them?
AI Agents have higher system permissions, so security is indeed a concern. The course specifically includes aCybersecurity module, which will teach you how to:
- Use virtual machines or containers for isolation
- Follow the principle of least privilege
- Manually review high-risk operations
- Avoid using personal main accounts directly
Do I need to purchase an account for AI models (like OpenAI) separately?
Yes. Students can purchase as needed or use corresponding AI models, and suggestions and tests will be provided during the course.
Whether you are looking to earn a six-figure side income by taking on freelance work after hours, or an entrepreneur seeking quality AI technology partners, DreaMot, in collaboration with sister company IdeaCray's B2B business transformation network, provides you with the strongest support.