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Course Details
Course Details
What You'll Learn
Topic 1 Get Started with AI for HR
- AI and Agentic AI in HR: Use Cases and Landscape
- Popular AI Tools and Agent Platforms (ChatGPT, Claude and More)
- Effective Prompting for HR Tasks
- Connecting AI to HR Data and Documents
Topic 2 Build HR AI Agents
- Designing Agentic AI Workflows for HR
- Recruitment and Candidate Screening Agents
- Onboarding and Employee Support Agents
- Drafting HR Content and Communications with AI
Topic 3 Deploy Agentic AI Across the HR Function
- Automating Multi-Step HR Workflows with AI Agents
- Integrating Agents with HR Systems and Tools
- Governance, Fairness and Human Oversight
- Rolling Out Agentic AI in Your Organisation
Course Info
Prerequisite
Basic computer and file-management skills are expected. Familiarity with basic computer use and familiarity with the business or creative tasks covered by this course 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.
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
- HR Technology Specialist
- AI-Powered Recruitment Coordinator
- HR Data Analyst
- Employee Experience Manager
- Talent Acquisition Specialist using AI
- HR Digital Transformation Consultant
- Organizational Development Specialist with AI Insights
- HR Process Automation Expert
- Workforce Analytics Manager
- AI Integration Project Manager in HR
- Employee Relations Specialist with AI Tools
- Performance Management Analyst using AI
- Learning and Development Coordinator with AI Integration
- AI-Enhanced Payroll Administrator
- HRIS (Human Resources Information System) Analyst
- Diversity and Inclusion Officer using AI Analysis
- Employee Retention Strategist with AI
- Compensation and Benefits Analyst using AI
- Corporate Culture Advisor with AI Insights
- HR Strategic Planner with AI Implementation
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.
Human resources is one of the areas where Dr. Alfred Ang's portfolio runs deepest, because the HR systems Dr. Ang has built are used to run a real organisation. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and the CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses, building intelligent agents and business systems end-to-end across front end, back end, databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub document the work. For the academy, Dr. Ang built an HR and accounting platform on Next.js with role-based access, leave accrual, clock-in and clock-out attendance, intern-hours tracking and payroll, plus native iOS and Android apps that let staff apply for leave, view payslips, submit expenses and approve requests on their phones. A self-service HR portal on n8n handles leave applications with human-in-the-loop manager approval and offers an OpenAI HR chatbot protected by input and output guardrails. On the recruitment side, Dr. Ang has built a tool that generates candidate-tailored interview questions and analyses a CV against a job description, an AI interview simulator that scores candidates across six roles against detailed rubrics, and a tutor marketplace that uses a short Claude AI interview during verification. A coaching simulator explores how jobs can be redesigned around accountable ownership of AI agents, and a workplace learning site focuses on AI transformation and job redesign.
This course draws directly on those builds. The first topic maps AI and agentic AI use cases across HR, introduces popular tools and agent platforms such as ChatGPT and Claude, and teaches effective prompting for HR tasks and how to connect AI safely to HR data and documents. The second topic designs agentic workflows for HR and builds practical agents for recruitment and candidate screening, onboarding and employee support, and for drafting HR content and communications, with learners seeing how a screening agent can be shaped by the same CV-versus-job-description logic used in Dr. Ang's recruitment tool. The final topic looks at automating multi-step HR workflows, integrating agents with existing HR systems and tools, governance, fairness and human oversight, and rolling out agentic AI across an organisation in a way employees will accept. Dr. Ang is especially careful on fairness: learners examine where bias can enter screening, why approvals should stay with people, and how guardrails keep a chatbot within policy, all illustrated with working examples rather than slides alone. Sessions are practical and discussion-rich, suiting HR professionals with no technical background as well as HR technology leads. Learners are invited to bring anonymised examples of their own processes, such as a job description or an onboarding checklist, so the agents they build reflect real work. Participants leave with prototype agents for recruitment, onboarding and employee queries, and a realistic rollout plan for their own team. To see the HR portal, HRMS apps and recruitment tools referenced here, visit Dr. Ang's portfolio at https://github.com/alfredang
Review
Customer Reviews (9)
- Exceeded my expectations 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 6/16/2026)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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I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 4/6/2026)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 - Engaging trainer Review by Course Participant/Trainee
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Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 3/23/2026)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 - Engaging trainer Review by Course Participant/Trainee
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Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 1/25/2026)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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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 11/5/2025)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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