Certificate Course in Prompt Engineering & GenAI for HRs
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This course contains the use of artificial intelligence.
Unlock the power of Generative AI and Prompt Engineering to revolutionize your HR practice. This beginner-friendly course is designed specifically for HR professionals who want to stay ahead in a tech-driven workplace—without needing any coding skills.
You’ll explore how Generative AI, AI Agents, and Large Language Models (LLMs) are transforming key HR functions like talent acquisition, performance management, L&D, engagement, and HR analytics.
Learn how tools like ChatGPT, Microsoft Copilot, Gamma, and Google NotebookLM differ from traditional platforms like Google, and how to apply them for HR use cases such as policy drafting, training material creation, employee query handling, and internal communication.
Trace the evolution of AI—from rule-based systems to neural networks—and understand its role in driving HR digital transformation.
Master the essentials of Prompt Engineering: how to structure effective prompts, apply tone and role modifiers, use zero-, one-, and few-shot prompting, and fine-tune responses using parameters like tokens, temperature, top-k, and top-p.
You’ll also explore advanced prompting techniques such as Chain of Thought, Iterative Prompting, and Tree of Thought—all through real-world HR scenarios and case studies.
Whether you're an HR Manager, Recruiter, L&D Specialist, or People Ops Generalist, this course will help you automate tasks, enhance employee experiences, and make data-driven, ethical decisions—all while staying future-ready.
No coding Experience
Explore how Generative AI, Prompt Engineering, and AI Agents are transforming the HR function—from talent acquisition to employee engagement and L&D.
Identify emerging use cases across workforce planning, performance management, HR analytics, and organizational development.
Trace the evolution of AI from rule-based systems to neural networks and generative models, and understand its implications for HR digital transformation.
Explain what Generative AI is and how it differs from traditional search tools like Google, particularly in HR use cases
Define LLMs and understand their capacity to process, analyze, and generate human-like language
Define prompt engineering and evaluate how prompt clarity affects output quality
Break down the structure of effective prompts using the components: Task, Context, Data Input, Output Format.
Define zero-shot, one-shot, and few-shot prompting apply them to HR contexts
Apply modifiers for tone, perspective, formatting, and role-based instructions.
Adjust tokens, temperature, top-k, top-p to refine responses
Explore advanced prompting techniques: Chain of Thought Prompting, Iterative Prompting and Tree of Thought Prompting
HR professionals seeking to future-proof their careers by integrating AI into recruitment, learning & development, performance management, and employee engagement
