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CASL - Autonomous AI Agents with OpenClaw

Sessions 1 day
Duration 8 hrs
Level Beginner
Assessment 1 hr

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.

Funding for this course is valid from 30 Aug 2026 to 29 Aug 2027. Register and complete the course within this period to qualify for funding support.

Download Course Brochure

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

CASL - Autonomous AI Agents with OpenClaw

Course Code: TGS-2026064859

CASL
SFEC
Absentee Payroll
MCES

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Autonomous AI Agents with OpenClaw equips learners with the knowledge and practical skills to build, deploy, and manage AI agents that can perform complex tasks with minimal human intervention. Participants will explore how OpenClaw enables AI agents to understand objectives, plan actions, retrieve information, use digital tools, maintain contextual memory, and collaborate with people and other agents.

Through hands-on activities, learners will set up and configure OpenClaw, create specialized agent roles, develop reusable skills, connect tools and APIs, and automate multi-step workflows. They will apply OpenClaw to practical business functions such as research, customer service, sales, marketing, administration, content creation, reporting, and knowledge management. The course also introduces Retrieval-Augmented Generation, persistent memory, context engineering, sub-agents, multi-agent coordination, and human-in-the-loop approvals.

Participants will learn to monitor agent performance, validate outputs, troubleshoot failures, manage token usage, and optimize workflows for reliability and cost efficiency. Emphasis is placed on secure and responsible deployment through least-privilege access, sandboxing, data protection, audit trails, security guardrails, and defence against prompt injection.

By the end of the course, learners will be able to use OpenClaw to develop secure, reliable, and goal-driven autonomous AI agents that improve operational efficiency, support digital transformation, and create new opportunities for business innovation.

Full Fee $350.00 Before GST

GST $31.50 9% of fee

Baseline Nett $206.50 SG/PR age 21+ · 50% funded

MCES / SME Nett $136.50 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used.

Direct Application on SkillsFuture Portal

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

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.

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

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

Case Study

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.

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

OpenClaw – free, open source; requires Node.js 22 or later
Node.js (LTS) – free

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

Funding Eligibility Criteria

Self-sponsored learners (individuals)

Singapore Citizens and Singapore Permanent Residents aged 21 and above.
Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).

Company-sponsored learners

Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
Employers can also claim Absentee Payroll funding for employees who attend during working hours.
Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

Attendance is taken digitally with Singpass for every session, including the assessment.
You must complete the course and pass all assessments (assessed as Competent).
If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
9% GST is charged on the full course fee before funding.
Promo and discount codes cannot be used on funded courses.
Any balance after funding can be paid in cash.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.

Check your company's SFEC eligibility and balance on EnterpriseSG.
Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
Discuss the decision with the assessor or the assessment manager first.
If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

AI Automation Specialist
Business Process Analyst
Digital Transformation Consultant
Operations Manager
Product Manager (AI products)
Customer Experience Manager
Marketing Operations Specialist
Sales Operations Analyst
Knowledge Management Specialist
IT Solutions Architect
Software Developer (AI integration)
Data Analyst
Innovation Manager
Technology Risk and Governance Officer
Entrepreneur exploring AI-driven business models.

Trainers

Terence Ee is an experienced IT leader and consultant with more than 25 years of expertise in technology management, information systems, and digital transformation. He has served as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led major IT modernization projects. Since 2017, he has worked as an independent consultant and ACLP-certified trainer, specializing in guiding SMEs and enterprises in adopting future-ready digital platforms. As a WSQ-accredited trainer, Terence delivers programs in digital collaboration, IT governance, and productivity tools. His facilitation emphasizes case studies, simulations, and hands-on practice, enabling learners to apply modern IT systems such as Microsoft 365 and Google Workspace to improve collaboration and business efficiency. With his leadership background and deep IT expertise, Terence prepares learners to thrive in digitally transforming environments.

Yap Swee Leong is an ACLP-certified trainer with experience in adult education and IT-focused training. He has delivered courses across digital systems, IT fundamentals, and business technology, equipping learners with the skills to adapt to digital workplaces. With his strong foundation in instructional design and applied learning, he makes technical concepts accessible to diverse groups of learners. In his network security training, Yap focuses on building beginner-level understanding of key security principles, including password policies, secure browsing, and basic risk management. His sessions are designed to provide non-technical learners with confidence in recognizing and addressing everyday cybersecurity threats. By using practical, relatable examples, he ensures participants develop essential habits for safeguarding personal and organizational data.

Jyoti Chopra is an experienced AutoCAD instructor and design professional with extensive expertise in architectural design, furniture design, simulation, and 3D visualization. She has worked on projects involving technical drawing, space planning, and digital prototyping, helping learners and organizations develop skills in design documentation and visualization. Her teaching is grounded in industry-relevant experience, ensuring participants acquire both creativity and technical proficiency. As a trainer, Jyoti has taught WSQ and professional courses in AutoCAD, graphic design, and 3D modeling, emphasizing practical application and portfolio-ready outputs. She leverages real-world case studies and design projects to help learners master AutoCAD tools and apply them to diverse industries. Her facilitation style encourages creativity, precision, and efficiency, enabling participants to confidently use design software for both academic and professional growth.

Shahul Maricar is a blockchain strategist and digital transformation consultant with extensive experience in Web3, decentralized applications, and smart contract integration. He has worked on numerous NFT and crypto projects, helping organizations and creators navigate tokenization, digital ownership, and blockchain ecosystems. As an experienced trainer and developer, Shahul specializes in making complex blockchain concepts accessible to creative professionals and business leaders.
In “Autonomous AI Agents with OpenClaw,” Shahul teaches the technical and strategic aspects of agent deployment—covering agent architecture, tool and API integration, and multi-agent coordination. His sessions focus on the business implications of agentic AI adoption, including least-privilege access, audit trails, and defence against prompt injection. By combining his integration expertise with real-world commercial insight, he equips learners to leverage autonomous AI agents as transformative tools for business innovation.

Shanique Moh is a digital marketing strategist and creative designer with expertise in content creation, brand storytelling, and AI-powered design. With a strong background in UI/UX, social media marketing, and generative design tools, she helps businesses develop visually compelling digital assets that drive engagement and growth. Shanique has trained professionals and creative teams in adopting AI tools such as Midjourney, DALL·E, and Adobe Firefly for brand development and campaign execution.
In “Autonomous AI Agents with OpenClaw,” Shanique focuses on helping participants apply AI agents to marketing, content creation, and customer engagement workflows. Her sessions cover agent-assisted content production, campaign reporting, and human-in-the-loop review of agent outputs. With her creative and technical expertise, she enables learners to use autonomous AI agents not just as automation tools, but as practical drivers of engagement and growth in the digital economy.