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Business Transformation with OpenClaw Digital Employees

Course Information

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

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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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.

Business Transformation with OpenClaw Digital Employees

Course Code: C691
  • HRDF

6 Review(s) | Add Your Review

What's This Course About

This course introduces participants to the practical development and deployment of a digital AI agent workforce using the OpenClaw platform. Participants will learn how to install, configure, and operate OpenClaw to build autonomous agents that can perform tasks, automate workflows, and support digital operations across organizations.

The course begins with the setup and configuration of the OpenClaw platform, including the installation of required components, integration of language models, and deployment of a working AI agent environment. Participants will gain a clear understanding of the OpenClaw architecture and how agents operate within the system.

Participants will then learn how to design and develop OpenClaw agent skills, create task workflows, and build specialized sub-agents that collaborate to perform complex tasks. The course also covers memory management techniques to improve agent performance and ensure efficient task execution.

Finally, participants will explore how to optimize and secure an OpenClaw digital workforce, including implementing security best practices, managing agent permissions, improving context and memory efficiency, and applying token cost optimization strategies to ensure scalable and sustainable AI agent deployment.

By the end of the course, participants will be able to deploy, manage, and optimize OpenClaw agents and sub-agents to support real-world automation and digital workforce transformation initiatives

WSQ Funding

Full Fee 1,100.00 Before GST
GST 99.00 9% of fee
Baseline Nett 649.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 429.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - Dialogflow AI Chatbot Platform Management for Beginners

Course Fee

MYR1,100.00

Course Date

Course Time

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: Setting Up the OpenClaw Agent Platform

Overview of OpenClaw architecture and AI agent framework

Installing and configuring OpenClaw

Setting up LLM models and system dependencies

Configuring communication channels and integrations

Creating and deploying the first OpenClaw AI agent

Understanding the OpenClaw workflow and agent lifecycle

Topic 2: Developing OpenClaw Agent Skills and Sub-Agents

Designing agent roles and responsibilities

Building and configuring agent skills in OpenClaw

Creating specialized OpenClaw sub-agents for different tasks

Orchestrating collaboration between agents and sub-agents

Integrating external tools and APIs for agent capabilities

Implementing short-term and long-term memory management

Testing and improving agent task execution

Topic 3: Optimizing and Securing the OpenClaw Digital Workforce

Security best practices for OpenClaw deployment

Managing permissions and access control for agents

Securing integrations and external tool usage

Memory optimization and context management strategies

Monitoring token usage and token cost optimization

Performance tuning and reliability improvements

Best practices for deploying OpenClaw agents in production environments

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • AI Solutions Architect
  • Digital Transformation Manager
  • AI Agent Developer
  • Automation Engineer
  • AI Platform Administrator
  • Digital Workforce Manager
  • AI Operations Specialist
  • Business Process Automation Consultant
  • AI Integration Engineer
  • Enterprise AI Strategist
  • Intelligent Automation Analyst
  • AI Security Specialist
  • DevOps Engineer (AI Platforms)
  • AI Product Manager
  • Workflow Automation Specialist
  • AI Infrastructure Engineer
  • Digital Innovation Lead
  • RPA and AI Developer
  • AI Deployment Specialist
  • Chief Digital Officer

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (6)

Well structured course 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 20/06/2026)
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 trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 09/03/2026)
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
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 10/04/2025)
Good course materials 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
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 27/11/2024)
Exceeded my expectations 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
Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 25/09/2024)

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