Applied AI for HR Professionals: Productivity & Practice

Programme outline

Learning objectives

By the end of the course, participants will be able to:

1. Explain fundamental AI and Generative AI concepts relevant to HR functions.
2. Identify suitable HR tasks where AI can improve productivity and efficiency.
3. Apply effective prompting techniques to generate HR-related content and outputs.
4. Use AI tools to support common HR activities such as recruitment, communications and policy drafting.
5. Evaluate and refine AI-generated outputs through human review and validation.
6. Apply responsible AI practices relating to privacy, confidentiality and bias awareness.

Day 1: Understanding AI and Its Impact on HR

Module 1: AI Foundations for the Modern HR Professional

Build a practical understanding of how AI is changing work, organisations and the HR function.

Topics include:

• The evolving role of HR in an AI-enabled workplace
• Core AI concepts and emerging developments
• How different types of AI support human work
• Common misconceptions and limitations of AI

Module 2: Applying AI Across HR

Explore how AI can be used to improve productivity, decision support and employee experiences across HR activities.

Topics include:

• Using AI to create, analyse, summarise and improve work
• Applying AI across different stages of the HR lifecycle
• Identifying opportunities for greater efficiency and effectiveness
• Exploring relevant AI tools and emerging capabilities

Module 3: Responsible and Effective Use of AI

Develop the judgement needed to use AI responsibly in people-related work.

Topics include:

• Key risks and limitations of AI
• Ethical and responsible use considerations
• Privacy, bias, accuracy and accountability
• Governance and regulatory considerations
• Balancing AI capability with human judgement

Day 2: AI Productivity & Practice

Day 2 is workshop-based, using guided HR scenarios, case studies and practical exercises to help participants apply the concepts in realistic contexts. Case materials and activities may be adapted to reflect evolving AI capabilities and workplace practices.

Module 4: Finding the Right Work for AI

Explore where AI can genuinely improve HR productivity and where it may not be the right solution.

Topics include:

• Identifying high-value opportunities in HR work
• Distinguishing between one-off tasks and repeatable work
• Assessing whether tasks, inputs and outputs are suitable for AI
• Recognising where human judgement and control remain important

Module 5: Getting Better Results from AI

Learn practical techniques for improving the quality, relevance and reliability of AI-generated work.

Topics include:

• Framing tasks and instructions clearly
• Providing appropriate context and examples
• Breaking complex work into manageable steps
• Refining and challenging AI-generated responses
• Checking outputs for accuracy, completeness and usefulness

Module 6: Moving from One-Off Use to Reusable AI Solutions

Explore how effective AI practices can be structured into more consistent and reusable ways of working.

Topics include:

• Turning effective AI interactions into repeatable approaches
• Combining instructions, organisational knowledge and task-specific information
• Designing consistent outputs and workflows
• Building appropriate controls and human review points
• Testing and improving AI-enabled solutions over time

Assessment

• Online quiz (20%)
• Practical individual assignment (50%)
• Oral presentation (30%)