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Course Details
Course Details
What You'll Learn
Topic 1: Autonomous AI Agent Fundamentals with OpenClaw and Hermes Agent
Topic 2: Securing AI Agent Tools, Data, Memory and Multi-Agent Workflows
Topic 3: AI Agent Governance, Risk Management and Security Monitoring with Paperclip
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: 21-65 years old
Minimum Software/Hardware Requirement
Software:
- A modern web browser (Chrome, Edge or Safari)
- WhatsApp on your phone
- Hermes Agent desktop app, with a free MiniMax account for a low-limit training API key
Hardware: Windows and Mac Laptops
Job Roles
Job Roles
- AI Security Engineer
- Cybersecurity Analyst
- Security Operations Engineer
- AI Governance Manager
- Risk and Compliance Officer
- IT Security Manager
- AI Agent Developer
- Automation Engineer
- Solutions Architect
- DevOps Engineer
- Identity and Access Management Specialist
- Data Protection Officer
- IT Operations Manager
- Systems Administrator
- Incident Response Analyst
- Technology Risk Consultant
- Digital Transformation Lead
- Enterprise Architect
- Machine Learning Engineer
- AI Adoption Consultant
Trainers
Trainers
Securing autonomous agents sits at the meeting point of two areas Dr. Alfred Ang has worked in for years: building agentic AI systems and governing them responsibly. A full-stack AI developer and Agentic AI solution architect, he is Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and the founder of Tertiary Courses. He designs and deploys multi-agent architectures with the Claude Agent SDK, the OpenAI Agents SDK, the Google Gemini Agent SDK, Microsoft AutoGen, CrewAI, n8n, Langflow and Flowise, and his day-to-day work spans system architecture, security, observability and performance optimisation on AWS and Kubernetes. On the security and governance side he is CompTIA Security+ certified, holds the Certificate in AI Ethics and Governance (Senior Professional) from NTU, and is an AWS Certified Solutions Architect and Microsoft Certified AI Engineer Associate (AI-102). His GitHub portfolio of more than 300 public repositories includes hermes-video-pipeline, in which a web form triggers a Hermes Agent webhook that researches, scripts, renders, verifies and publishes videos autonomously, and n8n-hrportal, a self-service HR portal with human-in-the-loop manager approval and an HR chatbot protected by input and output guardrails. He also built tertiarytraining, a platform that runs Docker-based Ubuntu and Kali Linux labs in the browser with role-based access and on-demand container control. He holds a PhD in Electrical Engineering from NUS. He is also certified in PMP and ITIL, which shapes how he frames agent risks in terms of processes, owners and service controls.
In AI Agent Security, Dr. Ang brings the lessons of running agents in production to the risks that appear once an agent can use tools, keep memory and act across business systems. The course begins with how autonomous agents work, using OpenClaw and Hermes Agent to show how tasks are planned, tools are called and context is retained. It then moves into securing the tools, data, memory and multi-agent workflows those agents depend on, covering threats such as prompt injection, malicious instructions, excessive permissions, confidential data exposure, unsafe tool execution, identity misuse and compromised memory. The final topic turns to governance, risk management and security monitoring with Paperclip, so learners can define who may approve what, how agent actions are logged and how incidents are detected. Throughout, he applies the same controls he uses in his own work: least-privilege tool access, human approval for sensitive actions, input and output guardrails, isolated execution environments and clear audit trails. He explains each risk with concrete scenarios before demonstrating the mitigation, so that security and business professionals alike understand both the threat and the fix. As an ACTA-certified trainer and DACE-certified curriculum developer, he keeps sessions hands-on and grounded in realistic enterprise use cases. Learners finish with a practical checklist for assessing the agents already in use in their organisation, from tool permissions to memory retention and monitoring. To review the agent and security-minded projects he has built, visit his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Truman Ng first worked with artificial intelligence as an Electrical Engineering undergraduate at NUS, where his final year project was an AI controller for a DC-DC power converter built on fuzzy logic and neural networks. After graduating in 2002, he built over 15 years of project experience across database and web design, PLC machinery, data centre design, structured cabling and enterprise network design. He served as a network architect for Hewlett Packard, working with a US-based virtual team on projects in the States, and later founded Nexplore (S) Pte Ltd, which provides cloud SaaS, IaaS and PaaS, software-defined networking, VoIP and internet security solutions. An ACTA-certified trainer, he holds PMP, Cisco CCNP, CCIP and CCDP, and Huawei HCIE R&S and HCNA Security certifications.
In AI Agent Security, Truman applies this security and infrastructure background to autonomous agents built on OpenClaw and Hermes Agent. He walks learners through how agents use tools, retain memory and share context across multi-agent workflows, and where those capabilities open the door to prompt injection, excessive permissions, data exposure and unsafe tool execution. Drawing on his experience designing and securing enterprise networks, he shows participants how to restrict access, protect confidential data and set up governance, risk management and security monitoring with Paperclip, so they leave able to deploy agents with clear, enforceable controls.
Ken Hiong is an ACTA-certified trainer whose career in the healthcare and pharmaceutical industry spans functional and managerial roles in sales, marketing, business development, finance, business analysis and planning. With a strong interest in scripting, he has worked on projects using HTML, CSS, PHP, MySQL, WordPress, VBA and Power BI, and he is a proven expert Excel user who has streamlined work processes and improved the quality of business planning and reporting for organisations. He graduated with a Pharmacy degree and holds a Master of Business Administration from the National University of Singapore and a Master of Applied Finance from the University of Adelaide. He holds the MS Office Master qualification and continually upgrades his IT skills through Microsoft certifications.
In AI Agent Security, Ken brings a business analysis and process perspective to securing autonomous AI agents that operate across business systems, data sources and multi-step workflows. Learners examine how platforms such as OpenClaw and Hermes Agent let agents perform tasks, use tools, retain context and collaborate, and why each of these capabilities widens the attack surface. They then work through securing agent tools, data, memory and multi-agent workflows, before applying governance, risk management and security monitoring with Paperclip. Ken's experience improving business processes helps participants think about where agents touch sensitive data and decisions. Learners leave with a practical framework for deploying AI agents in a controlled, accountable way.
Noel Lou is an ACTA-certified trainer and experienced mentor with a demonstrated history of working in the education management industry. Noel's technical skills include iOS, Unity3D and Python, together with Microsoft Excel and Microsoft Word, and this mix of development and productivity tools is complemented by strong customer service skills. As a mentor, Noel is used to guiding learners step by step through unfamiliar technology and helping them build practical confidence, which suits a course that introduces new concepts and platforms.
In AI Agent Security, Noel brings this programming and mentoring background to securing autonomous AI agents that operate across business systems, data sources and multi-step workflows. Learners first explore autonomous AI agent fundamentals with OpenClaw and Hermes Agent, looking at how agents perform tasks, use tools, retain context and collaborate. They then examine how to secure agent tools, data, memory and multi-agent workflows, and finish with AI agent governance, risk management and security monitoring using Paperclip. Noel's mentoring approach helps participants from both technical and business backgrounds follow how each capability creates new risks. Learners leave with practical knowledge for deploying and overseeing AI agents securely within their organisations.
Lim Cheng Chong is an ACTA-certified trainer and NUS Computer Science graduate whose expertise includes applied machine learning, IoT, web programming and app development. He developed a passion for computing early, teaching himself programming and computer graphics from the age of 10. He has taught at institutions such as BCA Academy and NUS, created more than 900 educational videos with over 5 million views on his YouTube channel, and delivered professional training for organisations including CSIT, SMRT, Panasonic and HP.
AI Agent Security applies his technical grounding in applied machine learning and software systems to a growing concern: keeping autonomous agents safe. Learners first cover autonomous AI agent fundamentals with OpenClaw and Hermes Agent, learning how agents operate across business systems, data sources and tools. They then examine how to secure agent tools, data, memory and multi-agent workflows, and finish with AI agent governance, risk management and security monitoring with Paperclip. His hands-on, beginner-friendly teaching style helps participants understand how agents actually work before deciding how to protect them. Learners leave able to identify the main risks in agent deployments and to apply practical controls and monitoring.
Review
Customer Reviews (20)
- will recommend Review by Course Participant/Trainee
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. (Posted on 5/28/2025)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 - will recommend Review by Course Participant/Trainee
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.need more time to catch up all the module1. 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
time too short, need to speed up the module in 2 days. training room not comfortable. (Posted on 6/29/2022) - will recommend Review by Course Participant/Trainee
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. (Posted on 10/17/2021)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 enough Review by Course Participant/Trainee
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. (Posted on 9/23/2021)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 - will recommend Review by Course Participant/Trainee
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good class to attn (Posted on 3/17/2021)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
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