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Course Details
Course Details
What You'll Learn
Topic 1 Building Your AI Agent Team with Paperclip
- Introduction to Multi-Agent AI and the Paperclip Platform
- Installing and Self-Hosting Paperclip
- Building the Agent Org Chart with Roles, Titles and Reporting Lines
- Connecting Agent Runtimes such as Claude, Codex, Gemini and Cursor
Topic 2 Running and Governing Multi-Agent Operations
- Aligning Agent Work to Business Goals and Missions
- Managing Tasks with Tickets and Heartbeat Scheduling
- Controlling Costs with Per-Agent Budgets and Spend Tracking
- Governance with Audit Logs, Approvals, Overrides and Agent Termination
Course Info
Prerequisite
Basic computer and file-management skills are expected. Familiarity with basic workflow concepts; basic programming and API use for developer courses will help you follow the exercises.
Software Requirement
- Visual Studio Code (for code-based exercises).
- Course-specific automation platform or framework listed in the joining instructions.
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.
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
- Web Designer
- Front-end Developer
- UI/UX Designer
- Web Developer
- Full Stack Developer
- Graphic Designer (focusing on web)
- CMS Developer
- E-commerce Website Designer
- Digital Product Designer
- Website Theme Developer
- Prototype Designer
- Mobile App Designer (looking for web integrations)
- Interactive Designer
- Landing Page Designer
- Digital Marketing Specialist (with a design focus)
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.
Running several AI agents as a coordinated team raises the same questions as running a team of people: who owns what, who approves it, and what it costs. Dr. Alfred Ang has been answering those questions in working systems. 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 intelligent agents and business solutions end to end, from front end and back end to databases, cloud deployment and native mobile apps. Relevant builds include an ERP prototype in which AI agents handle purchase orders and replenishment while humans approve each step through email, Asana or Telegram; an automated video production pipeline in which a web form triggers an agent that researches, scripts, renders, verifies and publishes; and an AI-powered content management system on the Claude Agent SDK with a weekly auto-blog scheduler and a self-improving chatbot. Dr. Ang also maintains Claude Code skills, works daily with coding agents such as Claude Code and Codex, and created an AI coaching simulator for redesigning jobs around accountable ownership of AI agents. An n8n HR portal adds human-in-the-loop manager approval and a guarded chatbot. The public portfolio at github.com/alfredang holds more than 300 repositories, and the common thread is governance: agents deliver real value only when goals, budgets, approvals and audit trails are designed in from the very start.
This course applies that thinking to Paperclip, a platform for organising and governing multi-agent teams. Learners start with an introduction to multi-agent AI and the platform, then install and self-host Paperclip so they understand exactly where their agents and data live. Next, they build an agent org chart with roles, titles and reporting lines, and connect agent runtimes such as Claude, Codex, Gemini and Cursor, comparing which runtime suits which kind of work. The second topic moves from setup to operations: aligning agent work to business goals and missions, managing tasks with tickets and heartbeat scheduling, controlling costs with per-agent budgets and spend tracking, and governing the whole system through audit logs, approvals, overrides and, when necessary, agent termination. Dr. Ang brings lessons from the approval workflows and scheduled agents in the portfolio, so discussions cover practical issues such as how much autonomy to grant, where a human checkpoint belongs and how to notice when an agent is quietly drifting from its brief. The teaching is hands-on throughout: learners stand up a small agent company of their own, assign it a realistic mission, watch it work through tickets and adjust budgets and permissions as they go. Everyone leaves with a running Paperclip setup and a governance checklist for taking multi-agent work into production. Time is also given to comparing results across runtimes and reading the audit trail to understand exactly why each agent made the decisions it did. To see the agentic systems that inform this course, explore Dr. Ang's public portfolio at https://github.com/alfredang
Review
Customer Reviews (7)
- Very satisfied Review by Course Participant/Trainee
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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 3/26/2026)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 - Clear and easy to follow Review by Course Participant/Trainee
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A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 2/15/2026)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 - Exceeded my expectations Review by Course Participant/Trainee
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The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 1/8/2026)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 - Superb training Review by Course Participant/Trainee
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Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 10/18/2025)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 - Well structured course Review by Course Participant/Trainee
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Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 10/14/2025)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
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