Claude for recruiters:
Set up an AI system that researches, screens, and writes for you — while you make the decisions ➡️

Master the basics in 45 minutes—and start saving time today
Topics:

1. Why Claude, not ChatGPT: a comparison of models for recruiting tasks (context window, accuracy, handling long texts)
2. The claude.ai interface: chats, models (Haiku / Sonnet / Opus), style settings, memory
3. Security and privacy: what you can and cannot upload (candidates’ personal data, GDPR)
4. The anatomy of an effective recruitment prompt: role → context → task → format → constraints
5. Practice: writing a job posting in 3 minutes (from the hiring manager’s brief to the final text)
6. Practice: Rewriting a Boring Job Posting into a Sales-Driven One (EVP-Oriented Approach)
7. Prompts for Mass Tasks: Generating 10 Job Title Variations, Adapting for Different Platforms (LinkedIn, HH, Djinni)
8. 5 common prompting mistakes recruiters make and how to avoid them

✔ Outcome: Students will be able to create effective prompts and generate job postings tailored to different platforms and target audiences
🧰 Tools:

1. Recruiter Prompt Framework Template (XLSX) — a library of 30+ prompts organized by funnel stages
2. Job Description Generator Checklist (XLSX) — checklist + job quality scoring
3. Claude vs ChatGPT Comparison Matrix for Recruiting (XLSX) — comparison of AI tools based on 15 criteria

Create a workspace where Claude understands your company, roles, and standards
Topics:

1. What is Claude Projects, and why should recruiters create a separate project for each job opening or department?
2. Custom Instructions for recruiting: how to write a systematic prompt that sets the tone, format, and context for all responses
3. Knowledge Base: What to upload—company description, EVP, tone of voice, role requirements, email templates, hiring policy
4. Project architecture: “1 job opening = 1 project” vs. “1 department = 1 project”—when each approach works
5. Hands-on: Creating a “Hiring a Frontend Developer” project with custom instructions + knowledge base
6. Collaboration in Projects: how to share a project with a team of recruiters (Team/Enterprise)
7. RAG in Projects: how Claude finds information in uploaded documents and which formats work best
8. Custom instruction templates for different job types: IT, sales, executive search, mass hiring

✔ Result: Students create and configure Claude projects for specific job openings; the team works within a unified context
🧰 Tools:

1. Recruiter Project Setup Framework (XLSX) — a matrix mapping “job type → project architecture → knowledge base → custom instructions”
2. Custom Instructions Template Library (XLSX) — 8 ready-made custom instructions templates for different recruitment areas
3. Knowledge Base Audit Checklist (XLSX) — a checklist of documents to upload to the project, prioritized

Teach Claude to find, filter, and rank candidates faster than you could do manually
Topics:

1. Generating Boolean queries for LinkedIn, GitHub, X/Twitter, and StackOverflow using Claude
2. Resume analysis: upload PDF/DOCX to Claude → structured breakdown by competencies
3. Candidate scoring: create a prompt with evaluation criteria and weights → automatic ranking
4. Batch screening: how to process 20 resumes in a single dialogue (techniques for working with the context window)
5. Prompts for creating a shortlist with rationale for each candidate
6. Red flags and green flags: teach Claude to identify patterns in career trajectories
7. LinkedIn profile analysis: copy profile text → analysis + personalized outreach
8. Prompts for diversity sourcing: how to expand the candidate pool without bias

✔ Result: Students use Claude to source, screen, and rank candidates with transparent reasoning
🧰 Tools:

1. Candidate Screening Scorecard with AI Integration (XLSX) — a scoring card with weights, formulas, and an example of how to fill it out using Claude
2. Boolean String Generator Prompt Library (XLSX) — 20+ prompts for generating Boolean strings for various roles and platforms
3. Resume Analysis Framework (XLSX) — a criteria matrix for AI resume analysis (hard skills, soft skills, red flags, cultural fit)

From the first message to the job offer—Claude writes, you’re in control
Topics:

1. Personalized outreach: “LinkedIn profile + job opening → cold message” prompt with A/B variations
2. Follow-up sequences: generating a series of 3–4 messages with different angles and CTAs
3. Interview preparation: generating questions for a specific role (skills + cultural fit + motivation)
4. Structured Interview Guide: creating a complete guide for the hiring manager in 5 minutes
5. Writing rejection letters: empathetic, specific, and relationship-preserving
6. Generating offer letters: a prompt with parameters (compensation, benefits, terms)
7. Post-interview feedback: structured feedback for the hiring manager and the candidate
8. Prompts for complex communications: counteroffers, rescheduling, offer withdrawal

✔ Result: Students generate professional communications at every stage of the funnel in minutes
🧰 Tools:

1. Candidate Communication Templates Generator (XLSX) — matrix: “funnel stage × communication type → prompt → example”
2. Structured Interview Builder (XLSX) — interview builder: role → competencies → questions → rating scale
3. Hiring Manager Feedback Template (XLSX) — structured feedback template with an AI prompt for generation

Connect Claude to your work tools—and let it do the work for you
Topics:

1. Claude Connectors: What They Are and How to Connect Google Calendar, Gmail, Google Drive, and Slack
2. Recruiting scenarios with connectors: automatic parsing of candidate emails, calendar synchronization, draft replies
3. Claude in Chrome: installation, configuration, how the browsing agent works
4. Recruiting workflows in Chrome: parsing LinkedIn profiles, filling out ATS forms, gathering information from job boards
5. Recording workflows (shortcuts): teach Claude to repeat routine browser tasks
6. Cowork: what it is and how it differs from a regular chat (local files, sub-agents, parallel tasks)
7. Recruiting tasks in Cowork: processing a folder of resumes → Excel report, generating a document package for the hiring committee
8. Scheduled tasks: automating daily/weekly recruiting tasks (digest of new candidates, funnel report)

✔ Result: The student connects Claude to work tools and automates repetitive recruiting tasks
🧰 Tools:

1. Recruiting Workflow Automation Map (XLSX) — a map of 15 recruiting processes × automation tool (connector / Chrome / Cowork) × time savings
2. Claude in Chrome Recruiting Playbook (XLSX) — 10 step-by-step browser automation scenarios for recruiters
3. Cowork Task Library for Recruiters (XLSX) — a library of 12 ready-made tasks for Cowork with prompts and expected results

Create a system that works without needing repeated explanations—your personal AI recruiter
Topics:

• Markdown instructions: syntax, structure, best practices for writing .md files for Claude
• How to write a Markdown instruction for a recruiting task: screening, outreach, reporting—a step-by-step guide
• Architecture of MD instructions: folder instructions in Cowork, project instructions in Projects, global instructions
• Skills in Cowork: what they are, how to install them, how to create your own recruiting skill
• Practical exercise: creating the “Candidate Screener” recruiting skill — from concept to working skill
• Plugins in Cowork: HR/Recruiting plugin, customization for your company
• Integration of all tools: Projects + Connectors + Chrome + Cowork + Skills = AI-powered recruiting system
• Implementation roadmap: 30-60-90 day plan for transitioning to AI-enhanced recruiting
• Performance metrics: how to measure ROI from implementing Claude (time-to-fill, cost-per-hire, source quality)
• Trends for 2026–2027: AI agents in recruiting, autonomous hiring, regulation (EU AI Act, NYC Local Law 144)

✔ Result: Students create their own MD instructions and skills, and build a comprehensive AI recruiting system with measurable ROI
🧰 Tools:

1. Recruiting Skills & Instructions Builder (XLSX) — a tool for mapping: recruiting task → MD instruction → skill → testing
2. AI Recruiting System Implementation Roadmap (XLSX) — 30-60-90 implementation plan with KPIs, responsible parties, and a checklist
3. AI Recruiting ROI Calculator (XLSX) — ROI calculator: current costs → savings with Claude → payback period

Yes. The first session covers the basics: the interface, settings, and initial prompts. You’ll start from scratch and, by the end of the course, build a fully functional AI-powered recruitment system. No prior experience with AI is required.

The "Claude AI in HR" course covers all aspects of HR: recruiting, training, analytics, and performance reviews. This course offers an in-depth look specifically at recruiting: sourcing, screening, outreach, interviews, and job offers. It also covers advanced features: Projects, Cowork, the Chrome extension, MD instructions, and creating your own Skills.

A free account is sufficient for the basic prompts (Lessons 1–4). For Projects, connectors, the Chrome extension, and Cowork (Lessons 2, 5, 6), you’ll need a paid Pro plan ($20/month) or Max plan ($100/month).

Yes. All 6 lessons are available after payment. Watch them at your own pace; access is valid for 1 year.

Yes. Once you've completed all the assignments, you'll receive a certificate on the Accredible platform with a unique code and a QR code. Integrated with LinkedIn and HH. Available in RU/EN/UA.

Yes. The prompts, tools, and workflow apply to both formats. For homework assignments, there are three options to choose from, including agency recruitment and internal hiring.

This course isn’t just about prompts. Prompts make up 20% of the content. The remaining 80% consists of Projects, Cowork, connectors, Chrome automation, MD instructions, and Skills. You can’t reach this level by relying solely on prompts.

Yes. The course is included in the annual subscription ($1,000/year—access to all 160+ courses). For a team of 10 people—$2,500/year.