7 Topics
5 Days
Programme Overview
Training Description
- HR directors and managers
- Talent acquisition and recruitment specialists
- Learning and development professionals
- Employee communications specialists
- HR business partners
- Organizational development specialists
- HR analysts and data specialists
- Compensation and benefits professionals
- Aspiring HR leaders
- Innovation and technology managers
Session Objectives
- Understand the fundamental concepts of generative AI and its relevance to HR.
- Master the use of AI tools for creating compelling HR content.
- Apply generative AI to enhance the candidate experience.
- Leverage AI for more effective and personalized employee communication.
About the Course
As organizational demands evolve, relying on legacy administrative processes limits HR’s capacity to deliver personalized employee experiences and agile workforce strategies. Our Generative AI for HR & Strategic Talent Management Training Course addresses this operational bottleneck by equipping human resource professionals with the technical skills and strategic frameworks needed to integrate generative AI across the entire talent lifecycle. Guided by HR technology specialists, participants will master prompt engineering and AI tool sets to automate job description drafting, personalize employee learning pathways, refine candidate sourcing, and analyze complex workforce datasets. By combining practical hands-on workshops with responsible AI governance, this program prepares HR leaders, recruiters, and talent managers to deploy ethical AI solutions that eliminate routine operational friction, enhance employee engagement, and drive human-centered organizational strategy.
Curriculum & Topics
7 Topics | 5 Days
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Subtopic 1.1:
What is generative AI and how does it work?
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Subtopic 1.2:
The difference between generative AI and traditional AI.
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Subtopic 1.3:
Key applications of generative AI across the HR lifecycle.
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Subtopic 1.4:
Understanding large language models (LLMs) and their capabilities.
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Subtopic 1.5:
The ethical and responsible use of AI in the workplace.
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Subtopic 2.1:
Using AI to write compelling and inclusive job descriptions.
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Subtopic 2.2:
Generating personalized outreach messages to passive candidates.
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Subtopic 2.3:
Creating interview questions and candidate assessment scenarios.
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Subtopic 2.4:
Automating candidate screening and follow-up communications.
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Subtopic 2.5:
Leveraging AI for candidate experience and engagement.
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Subtopic 3.1:
Crafting engaging internal announcements and newsletters.
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Subtopic 3.2:
Using AI to draft and personalize employee emails and messages.
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Subtopic 3.3:
Creating content for training modules and learning resources.
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Subtopic 3.4:
Summarizing long documents and reports for quick insights.
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Subtopic 3.5:
Developing AI-powered chatbots for employee support.
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Subtopic 4.1:
Generating personalized learning paths and development plans.
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Subtopic 4.2:
Creating interactive and adaptive training materials.
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Subtopic 4.3:
Using AI to simulate challenging conversations for practice.
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Subtopic 4.4:
Analyzing employee feedback to tailor training content.
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Subtopic 4.5:
The future of AI in upskilling and reskilling the workforce.
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Subtopic 5.1:
Using AI to analyze large datasets for trends and patterns.
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Subtopic 5.2:
Generating summaries of performance reviews and employee feedback.
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Subtopic 5.3:
Creating data visualizations and reports with AI assistance.
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Subtopic 5.4:
Forecasting workforce trends with generative AI.
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Subtopic 5.5:
Building a strategic business case with AI-driven insights.
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Subtopic 6.1:
Identifying and mitigating bias in AI-generated content and decisions.
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Subtopic 6.2:
The importance of human oversight in AI-driven HR processes.
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Subtopic 6.3:
Ensuring data privacy and security with AI tools.
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Subtopic 6.4:
Developing a governance framework for responsible AI use.
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Subtopic 6.5:
Communicating the role of AI to employees with transparency.
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Subtopic 7.1:
Developing a roadmap for integrating generative AI into HR.
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Subtopic 7.2:
Assessing and selecting the right AI tools for your needs.
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Subtopic 7.3:
Training your team to be proficient in AI applications.
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Subtopic 7.4:
Measuring the impact and ROI of AI-driven initiatives.
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Subtopic 7.5:
A personal action plan for leading AI innovation in your role.
