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AI Agent with Openclaw

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Course Brochure

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

AI Agent with Openclaw

Course Code: C1434

9 Review(s) | Add Your Review

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What's This Course About

AI Agent with Openclaw teaches you how to build your own autonomous AI agent using the OpenClaw platform. OpenClaw lets you design, configure and deploy AI agents that can take on defined roles, use tools, follow skills, communicate through messaging channels and carry out multi-step tasks on your behalf, from research and reporting to customer replies and routine operations. The course is designed for professionals, entrepreneurs, IT staff and technology enthusiasts who want practical, hands-on experience building an AI agent.

You will start by getting started with OpenClaw, installing and configuring the platform, connecting an AI model and messaging channels, and understanding how agents plan, use tools and keep memory. You will create your first agent with a clear role, instructions and boundaries, and test how it responds to real requests. Next you will build and deploy autonomous agents with OpenClaw, adding tools and skills, connecting business apps and data sources, scheduling recurring tasks and deploying your agent so it can work continuously.

Throughout the course you will also learn how to monitor what your agent is doing, review its results, manage permissions and data access, protect it against risks such as prompt injection and keep humans in control of important actions. Every activity is hands-on with realistic use cases. By the end, you will be able to build, deploy and safely manage an autonomous AI agent with OpenClaw that saves you time and handles real work.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR1,100.00
+ 8% SST

Course Date

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Exploring OpenClaw and the Autonomous AI Agent Landscape

Topic 2: Evaluating OpenClaw Applications and Business Opportunities

Topic 3: Designing OpenClaw Agent Workflows and Managing Implementation Risks

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Mac or Linux laptop, or a Windows laptop with WSL2 enabled (OpenClaw runs on Windows only through WSL2)

Job Roles

Job Roles

  • AI Solutions Architect
  • AI Automation Specialist
  • Machine Learning Engineer
  • AI Product Manager
  • DevOps Engineer (AI Infrastructure)
  • Full Stack Developer
  • AI Integration Consultant
  • Business Process Automation Specialist
  • Data Engineer
  • AI Research Analyst
  • Digital Transformation Consultant
  • Software Engineer
  • Technical Project Manager
  • AI Operations Manager
  • Systems Administrator
  • Innovation Strategist
  • Knowledge Management Specialist
  • IT Solutions Consultant
  • Productivity Technology Analyst
  • AI Workflow Designer

Trainers

Trainers

Autonomous agents are the core of Dr. Alfred Ang's daily work as a full-stack AI developer and Agentic AI solution architect. As CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses, Dr. Ang builds intelligent agents and the systems around them end-to-end, from front-end interfaces and back-end services to databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub show agents doing real jobs. In the hermes-video-pipeline project, a request submitted through a web form triggers an agent that produces a YouTube video for Tertiary Courses. The n8n-financeadvisor project pairs a stock analysis dashboard with a Telegram AI agent that answers market questions, while n8n-inventorycontrol runs an inventory audit and forecasting agent on a local language model through Ollama, keeping sensitive data on premises. Dr. Ang has also built an ERP prototype that routes purchase orders through human-in-the-loop approvals by email, Asana and Telegram, and a self-hosted AI-LMS-TMS platform that uses AI agent automation for routine training administration. A collection of Claude Code skills packages repeatable agent behaviour, such as starting apps, writing READMEs and scanning for secrets, into reusable building blocks. These projects give Dr. Ang a grounded view of what agents handle well, where they stumble and which guardrails make them safe to trust with real tasks. That practical track record lets Dr. Ang talk candidly about the gap between impressive agent demos and dependable everyday operation.

AI Agent with Openclaw puts that experience to work on the OpenClaw platform. The first topic explores OpenClaw and the wider autonomous AI agent landscape, explaining how an agent differs from a chatbot, how roles, tools and memory fit together, and where OpenClaw sits among other agent frameworks. In the second topic, learners evaluate OpenClaw applications and business opportunities, mapping candidate tasks in their own organisation against criteria such as value, data access, risk and how easily results can be checked. The third topic turns to designing OpenClaw agent workflows and managing implementation risks: participants configure an agent with a defined role, connect it to tools, test its behaviour and add approval steps, limits and logging so that mistakes are caught early. Dr. Ang brings examples from the agents described above, including what happened when an agent lacked a guardrail and how a human-in-the-loop checkpoint fixed it. The class is practical and paced for professionals rather than programmers, mixing short explanations with guided build exercises and open discussion of use cases from the room. By the end, participants should be able to judge whether a task suits an autonomous agent and set one up responsibly. Learners who want to study the agent projects referred to in class are invited to explore Dr. Real business examples, from enquiry handling to report preparation, are used to keep each design decision anchored in measurable value. Ang's portfolio at https://github.com/alfredang.

Review

Customer Reviews (9)

Clear and easy to follow Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 03/06/2026)
Highly recommended Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 24/04/2026)
Great practical training Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 16/04/2026)
Knowledgeable trainer Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 01/04/2026)
Practical and relevant Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 07/01/2026)

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