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Course Information

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

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

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

Business Transformation with OpenClaw Digital Employees

Course Code: C691

26 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

Funding Options

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

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

Course Time

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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.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

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

Dr. Mak Wai Keong

Dr. Mak Wai Keong has a Doctor of Education (EdD.) and has completed his Masters of Science (MSc) degree in Management of Technology in 2000 at the National University of Singapore. In 1994, he obtained his Bachelor of Science (Merit) in Chemistry and Mathematics from the National University of Singapore.

Upon graduation with a BSc degree, he started his career in the area of training and multimedia development, and set up a company in 1997 to focus on multimedia training development for the telecommunications and semi-conductor industries. Being passionate in research and training, and educating the youth, he then moved to the academic and research domains as a lecturer at Temasek and Ngee Ann Polytechnic. His research capacity started at SIM University as a Research Associate, and National Institute of Education (Centre for Research in Pedagogy and Practices (CRPP). He was able to apply his experience in Learning Technology areas at the Singapore Polytechnic and Yale-NUS College where he was the Associate Director for Educational Resources & Technology.

Dr. Mak last appointment was at the Institute for Adult Learning, Innovation Lab (iN.LAB) as the Senior Learning Innovator before starting out on his own. He curated 4 major programs for iN.LAB, namely InnovByte, InnovLogue, InnovJam and InnovPlus.

He is author and co-author of numerous international journal and conference papers. Currently, he is the Group CEO of Edtrix Group – comprises Edtrix Solutions Pte. Ltd., Edtrix Innovation Pte. Ltd., Edtrix Enterprise Pte. Lte. and SmartzWerkz Pte. Ltd. His work involves research and development in Learner (and Gamer) Profiling (a psychometric tool that purports one’s learning preference) through Block Chain, Artificial Intelligence (Data, Textual, Auditory and Video [DTAV] Analytics), Supervised, Unsupervised and Reinforcement Learning. He is also into Conscious and Unconscious Learning through Games. He is currently working on various AI projects with Lee Kong Chian School of Medicine, GSK Singapore, as well as consultancy work with SIM GE and ITE College East. He has also extended his skills and knowledge in this area through various consultancy works. Edtrix Solutions is a reseller and distributor of iSpringSolutions software in Singapore

Review

Customer Reviews (26)

will recommend 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
All is well. Nothing to improve.

Thanks to Truman for his patience in answering so many questions. (Posted on 6/7/2020)
Mr Truman Ng is very patient and helpful 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
Mr Truman Ng is very patient and helpful. He understand our difficulties as an older person and who is a beginner trying to learn programming courses. I am really happy to have him as my Trainer. (Posted on 4/14/2020)
Will Recommend 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
. (Posted on 10/7/2019)
Will Recommend 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 could revise the notes to be in line with the hands-on so that participants would be able to refer after the course.

-The venue is a bit cramp for the trainer to move around in the event if participant have issues with their hands-on. Since there are only 5 partipants during the session, suggest to remove the last row table and chairs and maintain only 2 rows of table sufficient for 5 pax and easier for trainer to move.
- course is good as 90% is hand-on which is what pax wants (Posted on 8/21/2019)
Will Recommend 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
. (Posted on 8/4/2019)

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