Grow your skills. Shape your future.

Learn practical recruitment, talent engineering, AI, sourcing and business development skills through free online courses and certifications.

Free recruitment courses

• Talent Engineering Fundamentals: Connect hiring outcomes, evidence, people and systems, then design and evaluate a small recruitment improvement.
• Workforce Planning and Skills Strategy: Translate business scenarios into capacity, skills gaps and a justified build, buy or borrow plan.
• Write a Better Search Brief: Turn business outcomes into defensible requirements, evidence criteria and a search plan that can change with market feedback.
• Recruitment Process and Service Design: Map candidate and client journeys, repair handoffs and build a service that handles exceptions.
• Stakeholder, Hiring Manager and Recruiter Responsibilities: Create clear decision ownership, useful discovery conversations and a route through conflicting expectations.
• Quality Standards and Operating Cadences: Set observable quality standards, audit a useful sample and run meetings that lead to decisions.
• Talent Engineering Capstone Project: Build a complete hiring-system portfolio for a fictional organisation, then test it against a practical self-review rubric.
• Talent Market Mapping: Define a market, build useful search lanes and communicate the limits of your talent intelligence.
• Candidate and Company Research: Build concise research briefs that separate professional facts, hypotheses and questions worth asking.
• Advanced Search and Sourcing Methods: Build and debug search strategies across title variants, capabilities and legitimate research channels.
• Research Verification and Source Quality: Trace material claims, resolve contradictory sources and communicate confidence without inventing certainty.
• Candidate Outreach That Connects: Write relevant, accurate outreach, manage follow-up respectfully and learn from response quality.
• Talent Pools, Nurture and Relationship Management: Build purposeful talent communities with current records, useful contact and reliable preference handling.
• Employer Brand and Employee Value Proposition: Turn real employee experience into an accurate, differentiated proposition and consistent candidate journey.
• Sourcing Analytics and Channel Performance: Measure channel quality, understand attribution and make sourcing decisions from comparable evidence.
• Evidence-Led Candidate Screening: Screen consistently against essential criteria while distinguishing missing evidence from negative evidence.
• Designing Candidate Scorecards: Translate role outcomes into observable criteria, anchored ratings and defensible decision rules.
• Structured Interviewing: Design consistent interviews, probe for evidence and run a disciplined panel debrief.
• Work Samples and Skills Assessments: Create proportionate job-relevant tasks, score the work consistently and avoid unpaid production assignments.
• Psychometric Testing Fundamentals: Understand reliability, validity, norms and the limits of using test scores in hiring.
• Inclusive Recruitment and Reasonable Adjustments: Identify avoidable barriers and build a practical, confidential route for accessible participation.
• Bias, Consistency and Decision Documentation: Recognise judgement traps, preserve independent evidence and write decisions that can be explained.
• References, Offers and Candidate Closing: Verify appropriately, manage offer dependencies and support informed candidate decisions without pressure.
• Onboarding Handoffs and Quality-of-Hire Feedback: Connect recruitment evidence to a supported start and learn from outcomes without oversimplifying performance.
• AI for Recruitment: Use AI for bounded recruitment tasks, verify outputs and measure whether it improves the work.
• Responsible AI in Recruitment: Define accountable AI use, map risks and make oversight, transparency and challenge routes operational.
• Recruitment Data Protection and Privacy: Map personal information through recruitment and design practical controls for purpose, access, retention and requests.
• ATS and CRM Data Architecture: Model recruitment entities, relationships and events so records stay usable across search, sales and delivery.
• Recruitment Funnel Analytics: Build trustworthy hiring metrics, interpret bottlenecks and avoid misleading comparisons.
• Data Quality, Taxonomies and Record Hygiene: Build reliable field definitions, resolve duplicates carefully and maintain useful skills and role vocabularies.
• Plan Your First Recruitment Workflow: Specify a reliable recruitment workflow from trigger to verified outcome, with human review and recovery.
• Advanced Automation and Exception Handling: Design stateful workflows that survive duplicates, partial failures, retries and changing candidate intent.
• AI Output Evaluation and Quality Assurance: Build representative test sets, score material errors and decide whether an AI workflow is ready for its stated use.
• Recruitment Technology Procurement: Turn a real operating need into requirements, evidence-led trials and a credible supplier decision.
• AI Agents, Integrations and Human Escalation: Design agents with bounded tools, explicit permissions and reliable handoff when they cannot safely proceed.
• Monitoring, Incident Handling and Continuous Improvement: Detect meaningful failures, contain incidents and improve recruitment systems using evidence.
• Recruitment Business Development: Connect market knowledge to useful client conversations and qualified recruitment opportunities.
• Choosing and Validating a Recruitment Specialism: Find a defensible niche by testing demand, talent access, commercial viability and your ability to deliver.
• Account Mapping and Hiring-Signal Research: Map organisations and buying roles, then turn public changes into careful discovery hypotheses.
• Client Outreach and Credible Value Propositions: Write useful commercial approaches grounded in verified context and a service you can actually deliver.
• Discovery, Role Qualification and Search Strategy: Run discovery that connects hiring outcomes, delivery constraints and a mutually agreed search plan.
• Proposals, Fees, Terms and Commercial Expectations: Explain recruitment services, model their economics and prepare clear commercial discussions for proper review.
• Search Delivery and Client Communication: Run a search with clear milestones, evidence-rich updates and controlled changes.
• Pipeline Management and Forecasting: Build evidence-based opportunity stages, separate revenue from cash and model uncertainty honestly.
• Account Development and Repeat Business: Earn repeat work through delivery evidence, useful account reviews and relevant expansion conversations.
• Building an Independent Recruitment Practice: Plan a viable service, operating capacity and professional support before committing to independent delivery.
• Ethics, Confidentiality and Professional Boundaries: Handle conflicts, representation and commercial pressure with transparent professional judgement.
• Independent Recruiter Operating System: Bring sales, delivery, finance and quality into a sustainable weekly operating rhythm.

Explore five learning pathways · Download practice workbooks · Learning standards