Curriculum

Every concept in the program, by level and track. The checks are drawn from pools of variants; the Torre concepts are checked by doing the task in Torre.

90 Standard and 54 Advanced concepts

AIR Certification, Standard

How recruiting works

General
  1. The hiring process, end to end, and who does what
  2. What hiring managers worry about
  3. Where candidates come from: active, passive and referred
  4. How companies pay for recruiting

AI foundations for recruiters

General
  1. AI is many things; LLMs are one of them
  2. What a language model does
  3. Prompts, context and tokens
  4. Hallucination and the habit of verifying
  5. Bias in models and why it matters in hiring
  6. Freshness and variability
  7. The map of AI tools in recruiting
  8. What AI does well and badly in recruiting
  9. Agents and automation: where a person must approve
  10. Data you must not paste

Prompting LLMs and workflows for recruiting tasks

General
  1. Anatomy of a good prompt
  2. Giving context: what to include and what to leave out
  3. Iterating and verifying
  4. Structured outputs: tables, checklists and fields
  5. Reusable templates: a personal prompt library
  6. Job descriptions and posts with an LLM
  7. Search strings and talent mapping
  8. Outreach messages and follow-up sequences
  9. Candidate summaries and comparisons against criteria
  10. Interview guides and scorecards from competencies
  11. Notes and transcripts: summarizing and extracting evidence

The AI-assisted hiring funnel

General
  1. The funnel map: where AI helps and where a person decides
  2. Role intake with AI
  3. Sourcing with AI
  4. Screening with AI: consistent criteria, and what never to automate
  5. Scheduling and coordination
  6. Hiring-manager collaboration
  7. Offers and closing

Evaluating candidates with AI

General
  1. Structured interviews: consistency beats intuition
  2. Skills-based hiring: evidence over pedigree
  3. LLM-generated applications
  4. LLM summaries and notes: an aid, not a verdict
  5. Asynchronous and AI-led interviews
  6. Reading match scores
  7. Reference and background checks with AI assistance

Fairness, ethics and compliance

General
  1. Where bias enters: data, proxies and feedback loops
  2. Fair practice basics
  3. Transparency and consent
  4. The rules that apply, in overview
  5. Human accountability: AI recommends, a person decides
  6. Spotting and fixing biased output

Candidate experience and communication

General
  1. Communication at every stage
  2. Chatbots and automated replies
  3. Personalization that is honest
  4. Multilingual communication

Data, privacy and security

General
  1. Personal data and vendor terms
  2. Prompt injection through candidate documents
  3. Deepfakes and impersonation in hiring
  4. Account hygiene and what to do after a leak

Measuring and improving

General
  1. Funnel metrics
  2. Quality of hire and how to approximate it
  3. Spot-checking AI output

Torre's products and services

Torre
  1. What the Torre Network is · Torre
  2. Signals · Torre
  3. Torre Enterprise and what Torre does with companies · Torre
  4. The Torre API · Torre

Posting and managing jobs on Torre

Torre
  1. Post a job · Torre
  2. Add screening questions · Torre
  3. Use the ranking factor of the screening questions · Torre
  4. Edit the job to align candidates: skill levels · Torre
  5. Verify the requirements · Torre
  6. Add a video to the job · Torre
  7. Change the deadline of a job · Torre
  8. Duplicate a job · Torre
  9. Find all your jobs · Torre

Reading candidates and matching

Torre
  1. The applicant column: match, potential match and no match · Torre
  2. Match and Rank, and how to read it · Torre
  3. The ranking factors: why one match sits above another · Torre
  4. Pre-screening complete or not: what it means · Torre
  5. Download a candidate's genome and matching report · Torre

Pipeline and messaging

Torre
  1. See candidates and move them around the pipeline · Torre
  2. Message candidates and find their contact information · Torre
  3. Rule out candidates, and find them afterwards · Torre

Reach, Torre OS and Emma

Torre
  1. What Torre Reach is and how it works · Torre
  2. The Torre Network and Torre Reach: the difference · Torre
  3. What Torre OS is and its benefits · Torre
  4. Torre OS and Torre Reach: the difference · Torre
  5. Activate Reach · Torre
  6. Use Reach credits · Torre
  7. What Emma is and what she does for a job · Torre
  8. Reach out for help with Emma · Torre

The candidate's experience

Torre
  1. How Torre decides whether a candidate matches · Torre
  2. The questions Torre asks candidates by default · Torre
  3. Which actions notify candidates, and what candidates know · Torre
  4. The channels used to talk to candidates, and the ones Emma uses · Torre
  5. Applying: the genome as the base, from a CV or LinkedIn · Torre

AIR Certification, Advanced

AI foundations for recruiters

General
  1. How models are built
  2. Embeddings and semantic search
  3. Retrieval-augmented generation
  4. Choosing a model
  5. Reproducibility and evaluation sets
  6. Agent design and failure modes
  7. Prompt injection and data leakage

Prompting LLMs and workflows for recruiting tasks

General
  1. Prompt patterns
  2. Designing multi-step workflows
  3. Team prompt libraries and playbooks
  4. Structured extraction at scale
  5. Automation and integration
  6. Testing prompts and workflows
  7. Cost and throughput

The AI-assisted hiring funnel

General
  1. Designing the funnel
  2. Capacity and forecasting
  3. Talent intelligence
  4. Internal mobility and talent pools
  5. Employer-brand content

Evaluating candidates with AI

General
  1. Assessment design
  2. AI-assisted grading
  3. Calibrating screening criteria
  4. Fraud and identity at scale
  5. Validating a matching or screening tool

Fairness, ethics and compliance

General
  1. Bias audits and adverse impact analysis
  2. Writing an AI-use policy
  3. Regulatory obligations in depth
  4. Candidate rights and explainability
  5. Handling a complaint or an incident
  6. Vendor due diligence

Candidate experience and communication

General
  1. Measuring candidate experience
  2. Redesigning the candidate journey with AI
  3. Sensitive communication: rescinded offers, freezes and automation errors

Data, privacy and security

General
  1. Security assessment of an AI tool
  2. Incident response for AI tools
  3. Data governance for AI recruiting

Measuring and improving

General
  1. Experiments: pilots, A/B tests and control groups
  2. Systematic evaluation of AI output quality
  3. The return on AI in recruiting: cost, time, quality and risk
  4. The improvement loop: cadence, owners and retiring what does not work

Change management and teaching others

General
  1. Adopting AI in a recruiting team
  2. Playbooks and training for hiring managers
  3. Keeping current: evaluating new tools and models, sandboxes and sunsetting
  4. Managing resistance and fears: job security, skill shifts and redesigned roles

Posting and managing jobs on Torre

Torre
  1. Check a job's stats: where and how · Torre
  2. Other ways to attract applicants: import your database and the share button · Torre
  3. Add admins and team leaders to a job · Torre

Reading candidates and matching

Torre
  1. Cultural fit: what it is and how to read it · Torre
  2. How the team leaders of the job affect cultural fit · Torre
  3. Use the matching report in the shortlist meeting · Torre

Pipeline and messaging

Torre
  1. Create columns in the pipeline · Torre
  2. Add auto-triggered messages · Torre

Reach, Torre OS and Emma

Torre
  1. Check Emma's conversations with candidates · Torre
  2. How Emma works: how she interacts, and what changes when she is present or not · Torre