📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI in Recruitment and Talent Acquisition, from foundations to a certified capstone project.
Process
• Sourcing, screening, assessment and offer as distinct decision points
• Where automation compounds existing bias rather than removing it
• Defining the job requirement before automating the search for it
Sourcing
• Semantic matching of candidates to requirements and its blind spots
• Skills-based rather than credential-based matching
• Outreach automation and candidate experience
Assessment
• Resume parsing and the proxies that encode discrimination
• Structured interviews, work samples and their superior predictive validity
• Video and game-based assessment, and the weak evidence behind some vendors
Fairness
• Adverse impact analysis and the four-fifths rule
• Bias audit obligations including NYC Local Law 144 and EU AI Act high-risk duties
• Candidate notice, explanation and human review rights
Practice
• Vendor diligence: validity evidence, not marketing claims
• Monitoring outcomes by group after deployment
• Measuring quality of hire rather than time-to-fill alone
Earn government-registered certification in AI in Recruitment and Talent Acquisition
e-Certificate and e-Marksheet issued on successful completion.
