Certificate Course in Prompt Engineering & GenAI for HRs

Explore how generative AI differs from traditional programming and neural networks and how vibe coding with Google AI Studio turns prompts into apps.

Explore generative ai agents as autonomous digital co-workers that act on behalf of users to achieve goals, making decisions and automating tasks like scheduling, ordering, and customer support workflows.

Explore how large language models power artificial intelligence, learning patterns from massive data to understand and generate natural text, enabling translation, summarization, coding, and contextual responses.

Identify AI hallucination as false or misleading outputs; explain why LLMs like ChatGPT predict next words, not fact-check, and how to mitigate by asking for sources and cross-checking.

Explore retrieval augmented generation (rag) and see how retrievers, llms, embeddings, and vector databases with external sources reduce hallucinations and deliver accurate, up-to-date answers.

Learn the art of prompt engineering and crafting clear prompts for large language models, and how to design a structured onboarding program for software engineers with clear goals and activities.

Explore the anatomy of prompts for human resources tasks, detailing task, context, input data, and output format, with practical examples like emails, frequently asked questions, turnover analysis, and onboarding plan.

Learn zero shot, one shot, and few shot prompting in AI for HRs, and how examples shape output and resume evaluation.

Discover how to shape HR AI outputs with prompt modifiers including length, format, perspective, style, role-based, comparative, scenario-based, and case study approaches, tailored for human resource professionals.

Explore how AI models differ from prompts, distinguish parameters from modifiers, and apply tokens, temperature, top k, and top p to control ChatGPT outputs.

Explore advanced prompting techniques for hr prompt engineers, including chain of thought prompting to reveal step-by-step reasoning, iterative prompting to refine prompts, and tree of thoughts to evaluate multiple strategies.

Explore AI agents and their components—llms, memory (short, long, working), and tools—demonstrating automated task execution, decision making, and user assistance across HR and support scenarios.

Explore data analysis techniques in an ai for hr context through a practical demo. Learn how data analysis informs hr decisions and workforce insights.

Explore a practical demo of MS Excel and Google Sheets formulas tailored for AI for HRs, enabling quick data calculations and insights.

See a practical demo presentation of AI for HRs, illustrating real-world applications in human resources and essential features for HR professionals.

Explore how artificial intelligence assists human resources by demonstrating information extraction techniques and practical use cases for hr workflows.

Set up a zap in zapier to auto reply to feedback using google ai studio gemini and gmail, map form fields, test, and publish a live automated feedback response app.

Explore responsible and ethical artificial intelligence for human resources, focusing on fairness, transparency, accountability, and privacy in hiring, lending, and patient-care decisions.

Explore ethics, governance, and compliance as the foundation of responsible AI for HR professionals, guiding fair use, privacy, risk assessments, transparency, and lawful adherence.

Explore six pillars of responsible AI: bias and fairness, accountability, transparency and explainability, privacy and consent, safety and security, and sustainability, and examine issues from biased facial recognition to deepfakes.

Empower HR professionals to apply ethical by design AI with bias audits, explainability tools, human in the loop, and privacy compliance across GDPR and CCPA.

Explore how generative AI works, from prompt engineering and well-structured prompts to AI agents and temperature, through a quiz that compares ChatGPT with Google Search.