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Learning journey map
Click any checkpoint to expand its topics and key takeaway. Click again to collapse. The dashed path shows the order of the 4-day program.
Tip: Click a checkpoint to expand details. Click again to collapse.
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Day 1 · Program kick-off
Follow the map through all 11 modules to build practical, responsible AI skills for HR.
Day 1 · Basic AI concepts for HR
Explain how LLMs work, compare major models, and choose the right one for each HR scenario while verifying outputs for hallucination risk.
Day 1 · Prompting & AI strategy
Construct structured prompts that produce consistent, context-aware, and compliant HR content across different HR functions.
Day 1 · Prompting & AI strategy
Assess whether an HR AI initiative is worth pursuing — using the 4-question audit and focusing on high-value, appropriately scoped tasks.
Day 2 · Recruitment & onboarding
Run AI-assisted candidate searches and CV screens, compare tool outputs, and flag bias, gaps, and verification steps before acting on results.
Day 2 · Recruitment & onboarding
Generate welcome packs, checklists, and FAQs faster — and judge which tool delivers clearer, more complete onboarding content.
Day 2 · Learning & development
Turn source documents into training summaries, deep-search insights, slide outlines, and learner-ready exports with NotebookLM.
Day 2 · Learning & development
Define an AI orientation ambassador with clear persona boundaries — what it can say, cannot say, and when to escalate to a human.
Day 3 · Productivity enhancement
Brief, generate, and critique executive HR decks — comparing Kimi AI and Gamma for story structure, visuals, and presentation readiness.
Day 3 · Productivity enhancement
Map HR automation flows (triggers, data, reminders, escalation) and identify where privacy, access control, and error handling are essential.
Day 3 · Vibe coding
Prototype small HR tools with natural-language prompts — and articulate the risks, users, data boundaries, and acceptance criteria before building.
Day 4 · Responsible adoption
Translate risky HR AI scenarios into company-ready governance: data classification, prohibited uploads, approval flows, and human review rules.
Day 4 · Capstone
Apply the full journey: choose an HR AI pilot, demonstrate it safely, and defend your verification and governance approach.