185
learners
30
lessons
100-150 hours
duration
Lifetime
access
FREE
price
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Adult Learning Principles: How Recruiters Learn and Adopt New Tools
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AI Evolution: What's Likely to Change?
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Anomaly Detection: Identifying Unusual Patterns That Signal Problems
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Building Adaptive Capacity: Organizational Learning, Partnerships
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Building the Case -- Efficiency, Quality, Fairness, Brand, and Risk
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Change Leadership -- Driving Adoption While Managing Resistance
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Coaching and Support: Helping Individuals Build Confidence
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Creating Communities of Practice: Learning Networks
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Data Infrastructure: Collecting, Storing, and Analyzing Recruiting Data
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Escalation Processes: How Concerns Flow Up and Decisions Get Made
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Ethical Guidelines: Values-Driven Principles for AI in Talent
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Fairness Metrics: Defining and Measuring Bias in Outcomes
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Governance Structures: Committees, Roles, and Decision Authority
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Hands-On Project: Design a Fairness Monitoring Dashboard
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Hands-On Project: Design a Team Capability Building Program
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Hands-On Project: Develop a 2-3 Year AI Strategy
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Hands-On Project: Develop a Future Readiness Assessment
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Hands-On Project: Draft Governance Framework and Policies
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Measuring Adoption: Tracking Usage, Proficiency, and Impact
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Policies for AI Use: What Should Be Required, Prohibited, or Encouraged?
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Recruiting Evolution: How Jobs, Skills, and Hiring Processes May Shift
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Regulatory Landscape: GDPR, AI Act, Executive Orders, and Emerging Standards
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Remediation and Escalation: When and How to Act on Findings
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Roadmapping -- Phased Adoption, Capability Building, and Culture Shift
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Root Cause Analysis: Understanding Why Bias or Errors Occurred
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Societal Expectations: Candidate Expectations, Activist Pressure
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Strategic Assessment -- Where Is AI Most Valuable?
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Training and Capability Building: Ensuring Staff Can Use AI Responsibly
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Training Program Design: Curriculum, Delivery, and Evaluation
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Vendor and Tool Selection -- Evaluating AI Solutions
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about this course
Use AI responsibly and strategically across recruiting and talent acquisition workflows.
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