AI Applications in Human Resources and Talent Management Training Course

Module 1: The AI-Driven HR Landscape

• Evolution of Human Resources: From administrative support to strategic AI partner
• Identifying high-impact AI use cases across the employee lifecycle
• Overview of the AI HR stack: ATS, HRIS, and standalone AI platforms
• Understanding the role of Big Data in driving talent intelligence
• Challenges of AI adoption: Culture, change management, and technical debt
• Practical session: Conducting an HR technology audit and identifying priority areas for AI integration

Module 2: Data Engineering for People Analytics

• Consolidating heterogeneous data: ATS logs, payroll, performance reviews, and surveys
• Feature engineering for HR: Creating variables for tenure, engagement, and skill levels
• Handling sensitive data: Anonymization and encryption protocols for employee privacy
• Data cleaning and normalization for consistent employee profiles across global regions
• Techniques for building a unified "Employee 360" data view
• Practical session: Building a unified data pipeline for multi-source employee records

Module 3: AI in Talent Acquisition and Sourcing

• Automated sourcing: Using AI to find passive candidates across social platforms
• Algorithmic job description optimization for diversity and SEO
• Programmatic advertising for job postings: Reaching the right talent at the right time
• AI-driven headhunting: Identifying high-potential leads using predictive modeling
• Enhancing the candidate experience through recruitment chatbots and real-time updates
• Practical session: Using AI tools to optimize a job description and generate a targeted sourcing list

Module 4: Machine Learning for Candidate Screening and Selection

• Implementing automated resume screening: Beyond keyword matching to semantic intent
• AI-driven video interviews: Analyzing verbal and non-verbal cues for soft skills
• Predictive matching: Ranking candidates based on historical success data in specific roles
• Skill-based assessment automation: Using AI to grade technical and creative tasks
• Reducing human bias in the initial screening phase through blind-screening algorithms
• Practical session: Training a classification model to rank candidates for a specific role based on historical hire data

Module 5: Natural Language Processing for Employee Sentiment

• Mining "Voice of the Employee" data from surveys, Glassdoor, and internal communications
• Sentiment analysis: Real-time tracking of workforce morale and engagement levels
• Automated topic modeling: Discovering what employees are talking about most
• Enhancing internal support through AI-powered HR helpdesks and virtual assistants
• Using NLP to analyze performance review feedback for consistent rating patterns
• Practical session: Using a pre-trained NLP model to perform sentiment analysis on anonymized employee survey data

Module 6: Predictive Analytics for Employee Churn and Retention

• Identifying the "Flight Risk": Building predictive models for employee turnover
• Analyzing turnover drivers: Compensation, management style, or lack of growth?
• Personalized retention strategies: Using AI to suggest interventions for high-performers
• Forecasting tenure: Predicting how long a new hire is likely to stay
• Impact analysis: Measuring the cost of churn and the ROI of retention programs
• Practical session: Building a churn prediction model and identifying the top five risk factors in the organization

Module 7: AI-Powered Learning and Development (L&D)

• Personalized learning pathways: AI-driven content recommendations for employees
• Skill gap analysis: Using AI to identify the delta between current and required skills
• Automated content curation: Finding the best external learning resources for your team
• Virtual coaching and AI-driven mentoring platforms for leadership development
• Measuring learning ROI: Connecting training completion to performance improvements
• Practical session: Designing an AI-driven personalized development plan for a sample employee persona

Module 8: Workforce Planning and Strategic Resource Allocation

• Demand forecasting: Using AI to predict future hiring needs based on business growth
• Internal mobility: Identifying current employees for new roles using skill-matching
• Succession planning: Using predictive modeling to identify future leaders
• Labor cost optimization: Predicting overtime needs and seasonal staffing requirements
• Scenario planning: Using AI to simulate the impact of restructuring or mergers
• Practical session: Creating a 12-month workforce demand forecast based on historical growth data

Module 9: Generative AI for HR Communications and Policy

• Using LLMs for automated drafting of offer letters, policies, and internal newsletters
• Personalized employee communications: Tailoring benefits explanations to individual needs
• Automated generation of interview questions and evaluation rubrics
• Multi-language HR: Using AI for high-fidelity translation of global policies
• Managing brand voice in automated HR communications
• Practical session: Using generative AI to create a comprehensive onboarding guide and personalized welcome sequence

Module 10: AI Ethics, Bias Mitigation, and Regulatory Compliance

• Navigating global privacy laws: GDPR, CCPA, and AI-specific labor regulations
• Identifying and mitigating algorithmic bias in hiring and promotion decisions
• Ensuring "Explainability": Letting employees know how AI-driven decisions are made
• Developing an HR-specific AI Ethics Charter and Governance Framework
• Future trends: The shift toward "Skill-based" organizations and decentralized HR AI
• Practical session: Conducting an ethical audit on an automated screening tool and drafting a mitigation plan

Requirements:

• Participants should be reasonably proficient in English.
• Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588