Artificial Intelligence in Human Resources Training Course

Name: Applications of Artificial Intelligence in Human Resources Training Course
Availability: InStock

Deploy predictive talent analytics, automated recruitment workflows, and algorithmic governance across workforce operations.

At a glance

Duration: 5 days
Format: Classroom
Cities: London, Abu Dhabi, Nice, Al Jubail, San Diego, Dubai and more
Next session: 19 – 23 October 2026, London
Average fee: 5,800 €

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Applications of Artificial Intelligence in Human Resources Training Course

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Overview

Applications of Artificial Intelligence in Human Resources Training Course is a 5-day applied course for human resources directors, talent acquisition managers, people analytics specialists and organizational development leaders who leave with an AI HR Implementation and Governance Blueprint. The course addresses the challenge of deploying automated talent workflows and predictive analytics while maintaining algorithmic fairness, regulatory data protection compliance and human accountability across the workforce lifecycle. Practical case analysis guides participants through talent modeling and risk controls. Agile Leaders Training Center delivers the Applications of Artificial Intelligence in Human Resources Training Course.

Who Should Attend

Human resources leaders responsible for organizational talent strategy and technology adoption
Talent acquisition managers responsible for recruitment systems and candidate screening pipelines
People analytics professionals responsible for workforce reporting and predictive talent modeling
Compensation and performance managers responsible for objective evaluation and appraisal architecture
HR compliance officers responsible for employee data privacy and workplace regulatory adherence

The course assumes participants already oversee standard employment processes and organizational talent workflows, and it leaves out technical machine learning engineering and programming code development.

Departments and Industries

The course serves departments and industries where automated decision systems and predictive analytics optimize workforce administration.

Human resources, talent acquisition and people analytics departments
Commercial banking, insurance and financial services institutions
Healthcare networks, hospital systems and clinical service providers
Retail conglomerates, supply chain networks and consumer goods distributors
Information technology, digital services and telecommunications companies
Engineering, construction and industrial manufacturing corporations

Learning Objectives

By the end of this course, participants will be able to:

Analyze automated workforce workflows using established artificial intelligence management standards
Apply structured prompt engineering and predictive modeling to recruitment pipelines
Evaluate algorithmic bias and disparate impact in talent selection systems
Build robust employee personal data safeguards aligned with statutory compliance rules
Diagnose retention risks and employee sentiment trends using predictive analytics
Prioritize ethical oversight controls and audit gates for automated appraisals

Course Agenda

Day 1: AI Foundations and HR Use-Case Architecture

ISO/IEC 42001:2023 Plan-Do-Check-Act Framework for People Operations
Workforce Planning Heatmaps and Automated Demand Forecasting
Predictive Attrition Modeling and Early Flight-Risk Diagnostic Matrices
Core Capability Gap Analysis for Human Capital Transformation
Generative Text Workflows for Optimized Position Descriptions and Competencies

Day 2: Talent Acquisition and Algorithmic Screening Controls

Automated Resume Screening Workflows and Candidate Matching Architecture
Prompt Engineering Protocols for Structured Job Advertising and Sourcing
Algorithmic Bias Auditing Frameworks for Recruitment Selection Tools
Adverse Impact Ratio Calculations and Disparate Impact Review Gates
Automated Candidate Engagement Chatbots and Structured Interview Guides

Day 3: People Analytics, Sentiment and Performance Evaluation

Employee Sentiment Analysis Architecture and Pulse Survey Processing
Automated Performance Appraisal Validation and Goal Calibration Matrices
Personalized Learning Path Recommendations for Competency Development
Succession Planning Dashboards and High-Potential Identification Rubrics
Human-in-the-Loop Override Protocols for Automated Assessment Decisions

Day 4: Data Governance, Employee Privacy and Vendor Risk

Employee Data Protection Controls and Lawful Processing Documentation
Sensitive Biometric and Health Record Governance Protocols in HR Systems
Automated Profiling Disclosure Notices and Employee Consent Workflows
Five-Year Digital Employment Record Retention and Audit Protocols
Third-Party HR Software Vendor Due Diligence and Compliance Checklists

Day 5: Applied Practice and Capstone Execution

Exercise: Auditing Algorithmic Resume Screening for Disparate Impact
Exercise: Designing an Employee Data Protection and Consent Protocol
Exercise: Building a Predictive Attrition Diagnostic and Retention Plan
Exercise: Stress-Testing an Automated Performance Review Override Gate
Capstone: Presenting an AI HR Implementation and Governance Blueprint

Practical Exercises

The course includes suggested activities that connect analytical methods with practical human capital administration.

Suggested activity: evaluate resume screening algorithms to detect demographic bias and disparate selection ratios
Suggested activity: construct an employee data privacy audit workflow covering sensitive health information
Suggested activity: develop a predictive attrition model using engagement survey indicators and operational factors
Suggested activity: formulate a transparent human-in-the-loop escalation procedure for automated performance appraisals

FAQs

Who is Applications of Artificial Intelligence in Human Resources training suited to, and what does it assume?

It suits human resource executives, talent acquisition leaders, and people analytics practitioners. It assumes operational familiarity with standard recruitment, appraisal, and employee data management practices while excluding computer coding and software programming.

How does this course differ from general human resource digital transformation training?

Applications of Artificial Intelligence in Human Resources Training Course concentrates specifically on automated algorithmic evaluation, predictive modeling, bias auditing, and governance controls rather than broad enterprise software migration and general change management.

How do human resource teams manage algorithmic bias in automated candidate selection?

Human resource teams evaluate selection ratios using adverse impact calculations, review training data for demographic skews, establish human-in-the-loop review gates, and audit scoring rubrics against international AI management standards.

What data protection safeguards must govern automated employee evaluation systems?

Organizations must establish lawful processing grounds, implement minimization principles, secure sensitive biometric or health records, maintain statutory digital records, and ensure employees receive disclosure regarding automated profiling and assessment mechanisms.

How does predictive analytics enhance workforce retention and talent development?

Predictive analytics identifies turnover patterns by analyzing engagement markers, compensation benchmarks, and operational workload trends, enabling human resource teams to deploy proactive retention interventions and targeted skill development programs.

Conclusion

Participants take back a functional AI HR Implementation and Governance Blueprint that guides the responsible deployment of predictive tools. This concrete work product establishes measurable validation standards, bias auditing procedures, and data protection controls across all employee operations. Human resources teams use it to elevate talent decisions while ensuring organizational accountability.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-78 of 78 events

Location	Dates	Duration	Mode	Price
Kuala Lumpur	Week 26, 2027 28 June – 2 July 2027	5 Days	Onsite	€5,200
Paris	Week 27, 2027 5 – 9 July 2027	5 Days	Onsite	€5,700
Vienna	Week 27, 2027 5 – 9 July 2027	5 Days	Onsite	€5,700
Amsterdam	Week 28, 2027 12 – 16 July 2027	5 Days	Onsite	€5,700
Bangkok	Week 28, 2027 18 – 22 July 2027	5 Days	Onsite	€6,000
Toronto	Week 28, 2027 18 – 22 July 2027	5 Days	Onsite	€12,000
Cairo	Week 30, 2027 26 – 30 July 2027	5 Days	Onsite	€4,100
London	Week 31, 2027 2 – 6 August 2027	5 Days	Onsite	€5,700
Riyadh	Week 31, 2027 8 – 12 August 2027	5 Days	Onsite	€5,700
Abu Dhabi	Week 33, 2027 16 – 20 August 2027	5 Days	Onsite	€4,700
Dubai	Week 34, 2027 23 – 27 August 2027	5 Days	Onsite	€4,500
Zoom	Week 34, 2027 23 – 27 August 2027	5 Days	Online	€1,500
Amman	Week 34, 2027 29 August – 2 September 2027	5 Days	Onsite	€4,100
Kuala Lumpur	Week 35, 2027 30 August – 3 September 2027	5 Days	Onsite	€5,200
Marbella	Week 36, 2027 12 – 16 September 2027	5 Days	Onsite	€5,700
Munich	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€5,700
Berlin	Week 38, 2027 20 – 24 September 2027	5 Days	Onsite	€5,700
Muscat	Week 40, 2027 10 – 14 October 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewApplications of Artificial Intelligence in Human Resources Training Course is a 5-day applied course for human resources directors, talent acquisition managers, people analytics specialists and organizational development leaders who leave with an AI HR Implementation and Governance Blueprint. The course addresses the challenge of deploying automat…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Artificial Intelligence in Human Resources Training Course