Postgraduate Certificate in Human Resource Analytics and AI

Module 5: AI in Talent Acquisition: Recruitment, Screening & Matching

• Strategic talent acquisition

• The talent acquisition process

• The role and benefits of AI in the talent acquisition process

• Talent Sourcing and AI tools

• Selection Tools

• Structured Behavioral Interviewing

• Reducing Bias in Talent Selection

• The Importance of Onboarding

Module 6: Performance Management

• Evolution of performance management trends over time, and how these have been applied

• The GROW model

• 360 Feedback

• Performance trends

• Strategic Role of Competency-based Human Resource Management

Module 7: Competency-Based HRM using AI

• Building Competency Frameworks

• Competency Mapping using HR Roles

• Linking Competencies with Selection, Performance Management and Learning and Development

• Using AI in Competency-based HR processes, Skill Gap dashboards

Module 8: AI-Powered Learning & Personalized Development

• The Future of Work and Need for Upskilling Talent

• Creating a Learning and Development Strategy

• Personalized Learning

• AI Tools for Employee Development (LMS)

• Implementing AI Powered Learning

Module 9: Tech-Driven Employee Engagement with AI & NLP

• Drivers of employee engagement (M.A.G.I.C Framework: Meaning, Autonomy, Growth, Impact, Connection-- of Dr. Tracy Maylett)

• Designing, Scoring and Interpreting pulse and annual surveys

• User-Friendly Tech Tools for Employee Engagement (P.M.G.)

• AI tools for engagement prediction

Module 10: Talent Management and Succession Planning with AI

• The Role of Succession Planning and Talent Development in Business

• Succession Planning and Talent Development Framework

• Talent Review: Identification of High Potentials

• Succession Planning and Talent Development Best Practices

• Wrap Up and Closing

Module 11: Creating a Coaching Culture in the Era of AI

• Coaching and other development approachees

• The Coaching Leader

• Coachng Demo

• Coaching Mindsets

• Coaching Skills

• GROW Coaching Model

• How can AI help the Coaching Manager

Module 12: Compensation & Benefits planning with AI

• Core Principles and Strategic Frameworks on Compensation and Benefits Planning

• Compensation Architecture and Design Structures

• Benefits Strategy and Portfolio Optimization

• Governance, Analytics, and Communication

• AI Expert: AI and Technology in Compensation and Benefits

Module 13: Health, Wellness. Safety and Positive Workplaces

• Why Workplace Well-Being Matters: Feeling Good and Doing Well

• Defining Well-Being at Work

• Components of Workplace Well-Being

• Physical and Mental Health Programs Across PERMAH

• Employee Assistance Programs (EAPs): Role and Limitations

• Using AI and Analytics to Monitor Stress and Well-Being

• Wearables, Safety Analytics, and Ethical Interpretation

Module 14: HR Policy, Compliance & Ethics

• HR Legal Compliance in the Philippines

• Impact of AI in HR processes

• Good practices and Pitfalls in the use of AI

• Simulating HR compliance scenarios

Module 15: No-Code Automation in HR: Tools & Use Cases

• Intro to no-code/low-code platforms

• Use cases in HR (leave, approval, onboarding)

• Building basic workflows

• Form creation and auto-emailers

• Connecting tools using triggers

Module 16: People Analytics I: Dashboards & Descriptive Insights

• Headcount and demographic dashboards

• HR scorecards

• Descriptive metrics for leadership

• Data visualization principles

• Creating simple dashboards

Module 17: People Analytics II: Predictive Models & Workforce Trends

• Root cause analysis using HR data

• Identifying trends and patterns

• Simple regression explained

• Clustering for segmentation (e.g., employee types)

• Visualizing predictions

Module 18: Strategic Decision Making and Ethical AI

• AI's growing role in HR

• Why ethics matter in AI-powered HR

• Key ethical concerns in using AI HR Management

• Key ethical concerns in using AI HR Management

• Balancing technology with human judgement

• Best practices for ethcial AI in HRM

Module 19: Agentic AI and the Autonomous HR Function

• What is Agentic AI: Concepts and Capabilities

• Differences between Generative AI, Agentic AI, and Automation

• AI Agents in HR: Examples (Onboarding bots, Learning agents, Talent advisors)

• Building HR Copilots using tools like Microsoft Copilot, ChatGPT, or AutoGPT

• Ethical Considerations, Risk Management, and Human Oversight in Agentic AI

Capstone Project

This program is designed for mid-level HR professionals such as HR Generalists, HR Business Partners, and Talent Acquisition Managers who want to strengthen decision-making through HR analytics, AI, and data-driven practices. It is also suited for senior HR leaders—including CHROs, HR Heads, and HR Directors—seeking a strategic perspective on AI-led workforce transformation, responsible AI adoption, and change management. Additionally, it benefits HR and People Analytics specialists looking to move beyond descriptive reporting to predictive, AI-driven workforce insights using no-code and analytics tools, as well as professionals transitioning into HR or People Operations who want to build a strong foundation in HR management combined with future-ready skills in analytics and AI.

The program curriculum has 19 modules across 5 pillars. The curriculum is a well-rounded curriculum that covers HR startegy, AI, GenAI, AI strategies. This aligns more directly with future HR roles such as People Analytics Leader or HR Data Strategist. etc and this makes it more actionable for modern HR leaders. The curriculum is a completely immersive format that includes faculty interaction, peer discussion, applied learning, tools, case studies, hands-on activities, capstone project along with an extensive curriculum on HR strategies, AI strategies, predictive workforce insights, and data-driven talent strategy

The entire program is in a synchronous format for delivery. The sessions of this program will be conducted LIVE by the AIM faculty.

The program fee varies based on the session and enrollment period. For the latest fee structure, please refer to the program’s brochure or contact the program advisor.

Yes, installment or flexible finance options are available to help participants manage the course fee in a flexible manner. Details about payment plans can be obtained by reaching out to the program advisor.

The duration of the program is 20 weeks with weekly efforts of 4-6 hours/week, combining live sessions by the AIM faculty and 1-day of immersion and networking event at the Asian Intitute of Management campus.

Upon successful completion of the program, participants will receive a verified digital certificate from the Asian Institute of Management.

Upon successful completion of the program, participants will be invited to attend a 1- Day Immersion and Networking Event at the end of the 20-week journey at the Asian Insitute of Management (AIM) campus. During this event, participants will have the opportunity to network with fellow global leaders and interact with program faculty/director