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AI Agents for Recruiters: Recruiting and Sourcing
Role Play
Rating: 4.5 out of 5(25 ratings)
4,923 students

AI Agents for Recruiters: Recruiting and Sourcing

Use AI agents for recruiting automation, sourcing and screening, with skills transferable to ChatGPT and Claude
Last updated 10/2026
English
English [Auto],

What you'll learn

  • Delegate a multi-step recruiting task with clear deliverables, permitted tools, checkpoints and stop rules
  • Verify agent-sourced candidate profiles using source evidence, identity checks and explicit unknowns
  • Review preliminary candidate screening against agreed criteria without treating missing evidence as failure
  • Approve accurate, personalized outreach drafts while keeping candidate contact under human control
  • Reconcile recruiting funnel counts with candidate records and observed agent actions
  • Detect unsupported claims, duplicate records, conflicting evidence and blocked tool actions
  • Maintain an action log that separates planned work from completed, failed and unverified actions
  • Apply sourcing foundations in Boolean search, profile research, contact tools and candidate tracking

Course content

13 sections • 24 lectures • 12h 11m total length
  • AI Agent Task Design: Set Goals, Permissions and Stop Rules51:25
    • Goals, inputs and permitted tools for a multi-step task
    • Checkpoints, action limits and conditions for stopping
    • Agent Task Brief and acceptance checks

Requirements

  • Basic recruiting and sourcing knowledge, including vacancy criteria and candidate profile review
  • Experience giving simple tasks to an AI assistant; no programming knowledge is required
  • A computer and a modern web browser to open the five downloadable interactive HTML tools
  • Access to an approved AI workspace with agent tools for live practice; a clearly labeled simulated run is supplied when live access is unavailable
  • Use fictional or authorized data; agent features and usage limits depend on your chosen workspace, and some live features may require paid access

Description

This course contains the use of artificial intelligence

A candidate list is only useful when you can explain where every fact came from.

An AI agent's finished answer is the start of your review, not the end of your responsibility.

Recruiting work often moves through disconnected searches, profile notes, screening comments and message drafts. Copying information between these steps makes it easy to lose the source, miss a duplicate or report a draft as a completed action. A fluent AI summary can hide those gaps instead of resolving them.

The practical shift is from asking for isolated answers to commissioning a bounded piece of work. A recruiting run has a goal, permitted inputs, intermediate outputs, checkpoints and a named reviewer. Its result travels with the evidence and the record of what happened, so a correction can be traced to the step that needs attention.

Mike is the #1 HR instructor on Udemy, with 2,000,000+ students on the platform and 20 years in HR. He holds PHRi, SHRM-CP and HCI sHRBP certifications. This PapaHR course connects that HR perspective with practical recruiting work, while keeping hiring responsibility with people.

The course opens with a new five-part agent workflow. The first section establishes the task and its boundaries. The next sections follow candidate search and profile enrichment, preliminary screening, and outreach preparation. The final section brings candidate records and observed actions together in a checked funnel summary. Each part has one interactive browser tool, a complete fictional example and a practical assignment.

Live practice uses an approved agent workspace with the tools and permissions available to you. A clearly labeled simulated run supports output review when live access is unavailable. The browser tools organize task instructions, evidence, corrections and review decisions; they do not execute an AI agent themselves. Draft preparation and actual candidate contact remain distinct.

After the new core, the retained LinkedIn, Boolean search and OSINT sections provide the sourcing context behind queries, profile research and contact verification. The original sourcing automation sections then cover scraping and parsing, contact tools, browser extensions, applicant tracking systems and assessment tools. These recordings remain a foundation layer rather than a claim that every older demonstration uses an agent.

What's included

  • Lifetime access to all course materials
  • Five downloadable interactive HTML tools that open in a web browser
  • Practical assignments and clearly labeled fictional recruiting cases
  • Active instructor support in Q&A
  • Udemy Certificate of Completion

Every unreviewed recruiting run can carry a small error into the next search, shortlist or report. Putting evidence and review into the work now creates a clearer basis for the next handoff. Enroll now and start your first lesson today.

Who this course is for:

  • Recruiters who want to delegate connected search, screening and outreach preparation tasks to AI agents
  • Sourcers who need to verify profile enrichment and preserve evidence across a candidate search
  • Talent acquisition specialists who want clear review checkpoints and a traceable recruiting run
  • HR managers who personally handle recruiting and need to check agent outputs before using them