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Course map

Every module and lesson in the AI Recruitment Masterclass

All 73 lessons across 12 modules. Linked titles are published and readable now; the rest are listed so you can see the full scope of the course.

73 of 73 lessons published  ·  XML sitemap

Module 1Foundations of AI recruiting

What AI actually changes, the seven-layer stack, the five failure modes, and your workspace setup.

Module 2Intake and the job blueprint

Turning an intake conversation into a weighted profile, a scorecard, and criteria you can screen against.

Module 3Sourcing with AI

Boolean, X-Ray, LLM query expansion, talent mapping and a reusable prompt library.

Module 4Resume parsing and AI screening

The anchor module: how parsing works, why fields matter more than scores, and a full 500-resume run.

Module 5Candidate matching and ranking

Semantic matching, match profiles, silver medallists and defensible explanations.

Module 6Outreach and candidate communication

Personalisation at scale, five-touch sequences, chatbots and rejections that protect your brand.

Module 7Structured and AI interviews

Question banks, async interviews, scheduling, transcripts to evidence, and debrief facilitation.

Module 8ATS and recruitment CRM operations

Pipeline design, migration, nurture, career sites and job distribution.

Module 9Agents and automation

From prompts to workflows to agents, with human-in-the-loop checkpoints that actually catch errors.

Module 10Recruiting analytics and KPIs

Funnel models, the four metrics that matter, source ROI and a weekly dashboard.

Module 11Compliance, bias and candidate experience

The regulatory map, running a bias audit, disclosure language, retention and documentation.

Module 12Rollout and capstone

Your 30-60-90 plan, hiring manager adoption, the ROI case, and the end-to-end capstone.