A great job description is your first filter — get it wrong and you scare off strong people or attract the wrong ones. Learn to use AI to turn a rough role idea into a polished, accurate JD: real responsibilities, must-have vs. nice-to-have skills, and an honest picture of the work. Just as important, you will spot and strip out biased or exclusionary language — gendered wording, needless degree gates, ableist phrasing — so your postings widen the pool instead of narrowing it. By the end you can draft, tighten, and localize a JD fast without losing your voice or your standards.

Screening is where speed and fairness collide. Learn to use AI to work through a stack of resumes: pull relevant experience, match against the real job criteria, and build a shortlist you can explain. But this track is honest about the traps — AI can inherit bias from past hires, penalize career gaps, or reward the right keywords over the right person. You will learn to define objective criteria up front, keep AI as an assist rather than the decision-maker, audit for skewed results, and document your reasoning. By the end you screen in a fraction of the time while treating every candidate consistently.

Unstructured interviews mostly measure who the interviewer liked — structured ones predict real performance. Learn to use AI to build role-specific question banks, behavioral and situational prompts tied to the actual competencies, and clear scorecards so every candidate is measured the same way. Practice generating follow-up questions on the fly, calibrating your panel, and turning messy interview notes into a fair, evidence-based evaluation. You will also learn what not to ask and how to keep questions job-relevant and legally sound. By the end you run consistent, defensible interviews that surface the best person, not just the most confident one.

The first weeks decide whether a new hire stays and thrives — but most onboarding drowns in repetitive docs and copy-paste. Learn to use AI to build personalized onboarding plans, first-week checklists, and role-specific 30-60-90 day goals in minutes. Draft and refresh policy documents, benefits explainers, and an internal FAQ that new hires actually read. You will see how to keep tone warm and human, tailor materials by role and location, and set up templates your team reuses. By the end you deliver a smooth, consistent onboarding experience while cutting the admin load dramatically.

This is the track that keeps you and your company out of trouble. AI in hiring is increasingly regulated, and a careless tool can discriminate, leak candidate data, or make decisions you cannot explain. Learn the essentials in plain language: how bias creeps into AI screening and how to test for it, what candidate and employee data you can and cannot feed into a tool, and why a human must stay in the loop on every real decision. Understand consent, transparency, data protection, and audit trails, and set simple guardrails your whole team can follow. By the end you can use AI in hiring responsibly — fast, fair, and defensible if anyone ever asks how a decision was made.