Course Information

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

Venue

Course Brochure

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.

AI Agent Security

Course Code: C28
AI Vibe Coding Series
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What's This Course About

This course equips participants with essential knowledge and practical skills to secure autonomous AI agents operating across business systems, data sources, digital tools, and multi-step workflows. Learners will examine how platforms such as OpenClaw, Hermes Agent, and Paperclip enable AI agents to perform tasks, use tools, retain context, coordinate work, and collaborate within multi-agent environments.

Participants will explore security risks associated with autonomous agents, including prompt injection, malicious instructions, excessive permissions, confidential data exposure, unsafe tool execution, identity misuse, compromised memory, unauthorised system changes, and uncontrolled agent-to-agent communication. They will learn to assess the potential business impact of agent actions and identify vulnerabilities throughout the agent lifecycle.

The course covers practical safeguards such as identity and access management, least-privilege permissions, isolated execution, tool allowlists, secure credential handling, memory protection, action approval, activity logging, output validation, and emergency shutdown procedures. Learners will apply these controls to OpenClaw and Hermes Agent workflows and establish governance measures for coordinating and supervising multiple agents with Paperclip.

Through hands-on scenarios, participants will configure secure agent workflows, assess agent behaviour, investigate suspicious activities, respond to incidents, and improve security controls. Emphasis is placed on human oversight, accountability, privacy, transparency, ethical use, and compliance with organisational policies.

By the end of the course, learners will be able to evaluate risks and implement security controls for autonomous AI agents, enabling organisations to adopt OpenClaw, Hermes Agent, and Paperclip more safely and responsibly.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.

Course Fee

₵3,000.00

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.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh 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: 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

Prerequisite

Basic computer and file-management skills are expected. Familiarity with basic tables, relationships and data handling will help you follow the exercises.

Software Requirement

Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.

Also prepare the tools needed for the practical exercises:

Confirm the version, account permissions and any API usage budget with the trainer before class.

Hardware Requirement

Bring a Windows or Mac laptop supported by the listed software, with a working keyboard and sufficient storage for course exercises.

Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.

If you need help arranging a suitable device, contact us before the class to confirm availability.

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

Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.

Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.

Few combinations have powered as much of the web as PHP and MySQL, and Dr. Alfred Ang works with that stack in production every day. Dr. Ang is CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses, and a full-stack AI developer, Agentic AI solution architect and corporate trainer who builds complete systems across front end, back end, databases, cloud deployment and native mobile apps. The most directly relevant project is the course-registration LMS that runs the Tertiary Courses websites in Singapore, Malaysia and Ghana. It is built on OpenMage with PHP 8.2 and MySQL, containerised with Docker and deployed through Coolify, with a single codebase serving each partner site and its own database. That platform involves exactly the work this course teaches: forms and user input, sessions and authentication, relational schema design, SQL queries and numbered database migrations that must run safely on every server. Much of its recent development has been carried out with AI coding assistants, which has made careful review of AI-generated PHP and SQL an everyday discipline. Dr. Ang also publishes Claude Code skills, including a secret scanner, and has built other database-backed web apps on PostgreSQL, from an ERP prototype to an HR and accounting platform. With more than 300 public repositories at github.com/alfredang, Dr. Ang brings a realistic picture of what AI gets right in PHP and MySQL, and where a developer still needs to step in.

That experience shapes a course focused on building working applications, not memorising syntax. Learners set up PHP, MySQL and AI coding assistants such as Cursor, GitHub Copilot and Claude, write a first PHP script from a prompt and learn how to phrase requests so the generated code is clear and secure. PHP fundamentals follow: variables, data types and operators, control flow, loops and functions, and handling forms and user input, with AI used to explain and debug each piece. The third topic turns to MySQL, designing a database, writing SQL queries with AI assistance, connecting PHP to MySQL and reviewing and refactoring the generated code. Finally, learners build and secure a database-driven web app with sessions and authentication, test and improve it with AI and deploy it. Because Dr. Ang maintains a large PHP and MySQL platform in production, the sessions dwell on the habits that matter in real projects: parameterised queries to prevent SQL injection, password hashing, validating every input and never trusting AI-generated code until it has been read, run and tested. Teaching follows a simple loop of describe, generate, review and refine, with short demonstrations followed by plenty of hands-on building and debugging of each learner's own code. Learners leave with a working PHP and MySQL application and a dependable workflow for vibe coding the next one. Dr. Ang also shows how to ask an AI assistant to explain unfamiliar code before changing it, a habit that prevents many subtle bugs in larger projects. To see the production PHP platform and other projects behind this course, explore Dr. Ang's public portfolio at https://github.com/alfredang

Review

Customer Reviews (7)

Very informative Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
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Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 5/23/2026)
Engaging trainer 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 5/15/2026)
Learned a lot 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
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 5/1/2026)
Knowledgeable trainer 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 3/14/2026)
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
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 3/4/2025)

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