About Course
AI agents can now carry work through a process on their own initiative, contributing to sourcing, screening, workforce analysis and decision support without a person signing off at each step. This gives HR teams a direct hand in how the technology enters the organisation. Recruitment criteria, accountability lines, reskilling pathways and performance frameworks are all set by people decisions, which places the HR function at the centre of AI adoption rather than downstream of it.
This course is designed for HR, L&D, talent acquisition, organisation design and business transformation professionals leading people-related change in AI-enabled workplaces. It is structured around three core topics: recruitment, reskilling and bias risk; agentic workforce planning and organisation design; and ethical performance management and change.
Learners work through where bias risk enters AI-assisted sourcing, how accountability is resolved when output blends human and agent contribution, and what safeguards belong in performance management.
The course opens with a condensed grounding in how agentic systems are architected, governed and costed, so that people decisions rest on an accurate reading of the technology, and closes with a workshop in which learners produce a reskilling roadmap for a business unit of their choice. It assumes no coding, AI engineering or data science background.
Delivery is classroom-based, built around guided discussion, applied HR scenarios and a hands-on roadmap workshop.
Skills you’ll gain
Business Management
Artificial Intelligence
AI and Machine Learning
Who Should Attend
HR professionals and HR Business Partners
Talent acquisition and recruitment professionals
Learning and Development (L&D) and organisation development professionals
Workforce planning and organisation design professionals
Business transformation professionals involved in AI-enabled workforce change
Minimum Entry Requirements
- At least two years of professional work experience, preferably in human resources, talent acquisition, learning and development, organisation development, workforce planning, business transformation or people management
- Familiarity with basic workplace HR or people-management processes
- Learners without HR or people-management exposure may still attend if they are involved in workforce transformation, digital adoption or business process redesign
No prior experience with AI tools is required
The Agentic AI Series
This course is part of a collection of Agentic AI courses curated by SITLEARN, spanning finance, legal, human resources, marketing, operations, and risk and security. Each course imparts agentic AI foundations customised to the specific function. View the full collection here.
Learning Outcomes
By the end of this course, learners will be able to:
- Assess where agentic AI changes recruitment across criteria, sourcing and screening practice.
- Identify bias risk in AI-assisted sourcing and screening, and where it enters the process.
- Build a reskilling plan for reshaped roles that accounts for roles being redesigned rather than simply automated.
- Apply agentic workforce planning principles to the HR function's own structures and organisation design.
- Resolve accountability questions where work output blends human and agent contribution.
- Extend succession planning to agent ownership so that agent fleets have named accountable owners.
- Identify ethical risks in performance management introduced by agentic AI, and design safeguards to address them.
- Design a segmented change management approach for AI adoption across different workforce groups.
- Produce a reskilling roadmap for a business unit or workforce segment of their choice.
Teaching Team
Ian Loe Wai Yew
Trainer
View profile
Course Details
Schedule
| Course Run | Dates | Time |
|---|---|---|
| January 2027 | 20 - 21 Jan 2027 | 9:00 am – 6:00 pm |
| March 2027 | 11 - 12 Mar 2027 | 9:00 am – 6:00 pm |
Day 1
| Topics |
|---|
|
Day 2
| Topics |
|---|
|
Certificate and Assessment
A Certificate of Attainment will be issued to participants who:
- Attend at least 75% of the course
- Undertake and pass non-credit bearing assessment during the course
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
Mode of Assessment: Oral Questioning (30 minutes)
Fee Structure
The full fee for this course is S$2,507.00.
| Funding Category | Eligible Funding | Course Fees Payable After Funding |
|---|---|---|
| Singapore Citizen (Below 40) | 70% | S$752.10 |
| Singapore Citizen (40 & Above) | 90% | S$292.10 |
| Singapore PR / LTVP+ Holder | 70% | S$752.10 |
| Non-Singapore Citizen | Not Eligible | S$2,507.00 |
Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.
For Organisations
Interested in this course for your business or team?
Tailored to your organisation's specific training needs, we can help you design and develop custom courses to grow key talent and build specialist expertise to meet the future demands of work.
Course Runs
New Engineering Micro-credentials Launching Soon!
Exciting news! We are introducing new micro-credentials in Electrical and Electronic Engineering & Infrastructure and Systems Engineering. Be among the first to know by registering your interest today! Register now →