AI Agent with Openclaw

Dr. Alfred Ang helps organisations move from AI experimentation to operational AI agents, and he combines that agentic AI work with serious DevOps credentials. He is a full-stack AI developer and Agentic AI solution architect, Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, and founder of Tertiary Courses. He designs multi-agent systems with n8n, Langflow, Flowise, OpenAI Agents SDK, Google Gemini Agent SDK, Claude Agent SDK, Microsoft AutoGen and CrewAI, and his portfolio includes agents that work through messaging channels, such as an n8n Telegram agent that answers questions from uploaded documents and a stock analysis agent that gives reasoned recommendations over Telegram. His Kacific ERP prototype uses AI agents with human-in-the-loop approvals by email, Asana and Telegram, scheduled tasks and signed webhooks. He is a Certified Kubernetes Administrator (CKA) and Certified Kubernetes Application Developer (CKAD), deploys his platforms with Docker and Coolify, and holds AWS Certified Solutions Architect and AI Practitioner credentials, CompTIA Security+ and the Microsoft Certified AI Engineer Associate (AI-102). He holds a PhD in Electrical Engineering from NUS and a Certificate in AI Ethics and Governance (Senior Professional) from NTU. He is also an ACTA-certified trainer and DACE-certified curriculum developer, and his approach emphasises applied skills, ethical AI governance and sustainable digital adoption. His public projects also include an HR portal with human-in-the-loop approval and an HR chatbot protected by input and output guardrails.

In AI Agent with Openclaw, Dr. Ang guides learners in building their own autonomous AI agent on the OpenClaw platform. The course explores OpenClaw and the autonomous AI agent landscape, evaluates applications and business opportunities, and moves on to designing agent workflows and managing implementation risks. Learners install and configure the platform, connect an AI model and messaging channels, and set up agents that take on defined roles, use tools and follow skills to handle multi-step tasks such as research, reporting, customer replies and routine operations. He brings comparisons from the other agent frameworks he works with, helping learners recognise which patterns carry across platforms. His DevOps and security background shapes the risk discussion: he explains how agents should be hosted, which permissions they really need, why approval steps matter for sensitive actions, and how to monitor what an agent does. As an ACTA-certified trainer, he keeps the course hands-on, so learners leave with a configured agent and a realistic plan for using it. He also helps learners assess the business case for an agent, weighing time saved and new opportunities against set-up effort, running costs and the risks of automating customer-facing work. Learners leave the evaluation topic with a short list of use cases suited to their own organisation and a clear sense of where to begin. Along the way, he stresses that a well-scoped agent with clear boundaries usually delivers more value than an ambitious one that nobody trusts. Participants gain the confidence to evaluate and implement autonomous agents responsibly. Explore his AI agent projects on GitHub at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Allen Wong is an ACTA-certified trainer and seasoned digital marketing strategist who weighs every new technology against its business value. An AI enthusiast with more than eight years of experience across e-commerce, events, FMCG, real estate and finance, he has delivered a career-wide return on ad spend of 300%, peaking at 1000% in events, and generated $2M in e-commerce revenue and over $5M in sales. His data-driven, cost-effective approach is well suited to a course that asks where autonomous AI agents can create real opportunities and where they introduce risk.

AI Agent with Openclaw introduces OpenClaw, a platform for designing, configuring and deploying autonomous AI agents that take on defined roles, use tools, follow skills and communicate through messaging channels. Learners explore OpenClaw and the wider autonomous agent landscape, evaluate OpenClaw applications and business opportunities, and then design agent workflows while managing implementation risks. Allen's experience across several industries helps participants assess use cases such as research, reporting, customer replies and routine operations on their commercial merits. Learners leave with an agent workflow design of their own and a clear view of how to introduce autonomous agents responsibly.

James Lee Kin Nam is a technology trainer and current External Consultant & Training Associate at Boston Consulting Group, with more than 20 years of progressive training experience in corporate enterprises and educational institutes. He specialises in graphics, animation and web technologies, graduated in Computer Studies and Multimedia Development, and has held roles as an Adjunct Lecturer at Singapore Polytechnic, a Web Developer at Nanyang Technological University (NTU) and a Social Media & Content Specialist at Equinet Academy. An ACTA certified trainer, MOE Registered Instructor and ACLP Certified Trainer / Assessor, he is also an Adobe Certified Expert, Instructor and Web Specialist.

In AI Agent with OpenClaw, James brings his corporate training experience and his ability to explain and simplify complex concepts to autonomous AI agents. Learners explore OpenClaw and the wider agent landscape, evaluate OpenClaw applications and business opportunities, and design agent workflows in which agents take on defined roles, use tools, follow skills and communicate through messaging channels, while managing the implementation risks involved. Participants leave able to configure and deploy their own agent for tasks such as research, reporting and customer replies, and to judge where agents add real value.