Free AI Recruitment Course
AI for Recruitment and Talent Acquisition
See where AI can support hiring decisions in this free AI recruitment course. Enroll to learn how sourcing, screening, and structured interviews work together while keeping candidate fairness and careful human review in view.
About this course
In this free AI recruitment course, you learn how talent acquisition teams move from a hiring need to a supported selection decision. You start with workforce plans and job requirements, then examine how sourcing channels and clear job descriptions affect the candidate pool. AI talent acquisition training is placed within that wider process, helping you see where automation can assist rather than replace judgment.
You then study screening scorecards, structured interviews, candidate communication, and onboarding. The online recruitment course links these steps to privacy, fairness reviews, and responsible use of candidate information. Lessons on hiring funnels and performance measures show how teams can find weak points in a process. As a beginner, you gain a clearer way to discuss recruiting workflows and question AI outputs without assuming that an automated ranking proves who should be hired.
Course outline
Talent Acquisition Strategy and Workforce Planning Essentials
This module will cover TA vs Recruitment jobs, workforce planning, headcount forecasting, lifecycle phases, stakeholders, budgeting, KPIs of TA and how AI can be used for demand forecasting.
Job Design and Writing Effective Job Descriptions
This module will cover job analysis, collaboration with managers, requirement gathering, competencies mapping, inclusive language, salary banding, approvals, AI-powered JD drafting, and posting.
Screening and Shortlisting Candidates
This module will cover screening objectives, resume scanning, scorecards, bias reduction, ATS usage, high-volume screening, AI-powered screening assessment, and presenting short-lists to hiring managers.
Interviewing and Assessing Candidates
Coverage of modules includes structured and behavioral interviews, interview guide development, skill testing, cultural addition assessment, unbiased interviews, scheduling of interviews by using AI, scoring, and debriefing.
Selection Decisions, Offers, and Candidate Experience
This module will introduce you to feedback consolidation, feedback validation, offer preparation, negotiations, candidate experience management, candidate rejection, no drop-outs, AI-based communication, counteroffer management, and successful hire closing.
Onboarding, DEI, and Compliance in Hiring
This module will include knowledge about pre-onboarding, onboarding process design, DEI practices, bias prevention, compliance, privacy, EEO, AI ethics, fairness audits, and governance in TA.
Talent Acquisition Analytics and the Future of Recruitment
This module will offer you an overview of core TA metrics, funnel analysis, dashboarding, optimization based on data, AI-based predictive analytics, benchmarking, recruiting trends, and TA career pathing.
Sourcing Strategies and Candidate attraction
This module will cover employer branding, candidate personas, recruiting channels, referrals, campus recruiting, AI-powered recruiting, outreach messages, pipelining, and measuring recruiting channel success.
Get access to the complete curriculum once you enroll in the course
Frequently Asked Questions
Where does AI fit within this recruitment course's hiring workflow?
What will I learn about writing job descriptions with AI?
How does the AI sourcing training address candidate pipelines?
Does the course explain how to review AI resume screening?
What interviewing approach is taught in this recruitment course?
Will I learn how AI can support candidate communication?
How does the AI hiring course handle fairness and privacy?
Which recruitment measures are covered in the online course?
Does this course cover the transition from selection to onboarding?
Do I need access to a specific AI recruiting platform?
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