AI for Recruitment & Headhunters is a course in using AI for recruitment, from job posts and sourcing messages to résumé screening, candidate summaries and talent pool follow-up, with attention to bias and PDPA. It suits recruiters, headhunters, HR staff and agency owners, and you leave able to build your own recruitment assistant with Custom GPT or Gems.
Recruitment and headhunting work handles large volumes of candidate data under tight deadlines: writing job posts, screening resumes, contacting and scheduling interviews, writing candidate summaries, communicating with clients and hiring managers, and maintaining a talent pool. These tasks are repetitive and time-consuming. Generative AI helps recruitment teams work faster, communicate professionally and in multiple languages, and free up time to focus on evaluating people and closing positions. This course is designed to help recruiter, HR and headhunter teams use AI in real work confidently and systematically, covering job posts and
sourcing, candidate screening and summaries, communication and interview scheduling, talent pool care, setting up an assistant and knowledge base, to automation with n8n, plus practices for reducing selection bias, never making hiring decisions with AI alone, and protecting candidate data under PDPA. All content is taught through workshops on real recruitment tasks, finishing with a capstone project where learners set up an end-to-end AI toolkit for their own work. (2 days, 6 hours per day, 12 hours in total, Beginner to Intermediate level, no AI or programming background required.)
Course Details
A 2-day course, 6 hours per day (12 hours in total), delivered as a hands-on workshop with a capstone project. Beginner to Intermediate level, no AI background required. Learners take home a recruitment prompt library, a recruitment assistant (Custom GPT/Gem), job post and interview question templates, and a bias-reduction and PDPA checklist.
Section 1: AI in Recruitment and Headhunting Work
Section 2: Prompts and Recruitment Communication
Section 3: Job Posts and Sourcing
Section 4: Resume Screening and Candidate Summaries
Section 5: Communication and Interviews
Section 6: Talent Pool Care and Reports
Section 7: Chatbots and Recruitment Assistants
Section 8: Documents and Administration
Section 9: Recruitment Automation with n8n
Section 10: Bias, Candidate Data and PDPA
Section 11: Capstone Project and Real-world Adoption
No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770
Give the AI the real details of the role: main duties, required and nice-to-have skills, the team, working arrangements and benefits, and tell it who you want to attract. Ask it to open with what candidates will gain and the actual work involved, to separate must-have from nice-to-have requirements clearly, and check the result for wording that excludes people by gender, age or personal traits unrelated to the job.
First set measurable, job-related criteria such as skills, relevant experience and achievements, then instruct the AI to assess against those criteria only and to quote the CV for each judgement. Remove information unrelated to the job, such as photos, age, gender and marital status, beforehand. Treat the AI's output as an initial ranking and leave the final decision to a recruiter. This course provides a bias-reduction and PDPA checklist to take back to work.
Have the AI draft a short, personal message that draws on the candidate's profile, such as work or experience that fits the role. It should explain why you are getting in touch, give the role's main appeal in one or two sentences and close with an easy call to action, such as asking for a quick chat. Avoid identical templated messages, and always read each one before sending.
It suits recruitment agency owners and managers, recruiters, headhunters and talent acquisition staff, HR teams handling recruitment, and sourcing and candidate coordination teams. No AI or programming knowledge is needed. You should be able to use a computer, smartphone and the internet, have used job boards or recruitment tools, and understand your own team's hiring process.
You will be able to write job posts and sourcing messages with AI, screen CVs and produce structured candidate summaries, draft interview questions, manage a talent pool and follow up candidates, build a recruitment assistant in Custom GPT or Gems, and automate application acknowledgements with n8n, following bias-reduction and PDPA practice. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
Yes. It can be run in-house for your recruitment or HR team, with examples adapted to your work, such as job posts for roles you are currently hiring for. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.
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