Thanks to this 100% online Postgraduate diploma, you will acquire skills to implement innovative solutions that improve efficiency in personnel management, from payroll administration to talent selection”

The optimization of Human Resources processes through Artificial Intelligence (AI) is radically transforming the way organizations manage their talent. In fact, its predictive capabilities make it easier to identify trends in employee behavior, allowing companies to anticipate potential attrition and develop effective retention plans. It also improves operational efficiency in HR, enhancing the employee experience and contributing to a more dynamic work environment.

This is how this Postgraduate diploma was created, which will emphasize the integration of Artificial Intelligence solutions to automate personnel administration and payroll management, resulting in greater operational efficiency. In addition, an in-depth understanding of AI technologies will be provided to ensure compliance with legal regulations, helping to minimize the risks associated with HR management.

Likewise, employers will use AI tools to automate various tasks, from resume analysis to candidate evaluation, optimizing the quality of recruitment. Emphasis will also be placed on identifying and eliminating biases in the selection process, which promotes fairer and more equitable practices in talent acquisition.

Finally, experts will acquire the ability to customize career development plans, tailoring growth paths to the individual needs of each employee. In turn, AI tools can be used to identify key talent within the organization and design effective retention strategies.

In this way, TECH has developed an exhaustive 100% online program, which will only require an electronic device with an Internet connection to access all the didactic materials, avoiding problems such as traveling to a physical center and adjusting to a pre-established schedule. Additionally, it will be based on the revolutionary Relearning learning methodology, consisting of the continuous repetition of key concepts for an optimal and organic assimilation of the contents.

You will adapt to the demands of today's market, contributing to the sustainable growth of your organization and positioning yourself as a leader in the digital transformation of Human Resources. What are you waiting for to enroll?"

This Postgraduate diploma in Human Resources Process Optimization with Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include: 

• Development of practical cases presented by experts in Artificial Intelligence in HR
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• The availability of access to the contents from any fixed or portable device with an Internet connection

You will be able to customize professional development plans for each employee, adjusting growth opportunities to individual needs, thanks to an extensive library of innovative multimedia resources”

The program includes in its teaching staff professionals of the sector that pour into this program the experience of their work, as well as recognized specialists from reference societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned experts in the field of educational coaching with extensive experience.

You will specialize in automating personnel administration and payroll management, which will not only optimize operational processes, but also allow for a more efficient allocation of resources"

You will use AI tools that automate various tasks, from the analysis of resumes to the evaluation of candidates, through the best didactic materials, at the forefront of technology and education"

Throughout the program, employers will learn how to automate administrative tasks such as personnel and payroll management, optimizing resources and ensuring compliance with legal regulations. In addition, they will delve into the use of AI to improve personnel selection processes, eliminating biases and promoting fairer practices. Another key aspect will be the use of Artificial Intelligence to personalize professional development plans, identifying key talent and designing effective retention strategies.

This Postgraduate diploma in Human Resources Process Optimization with Artificial Intelligence offers a comprehensive approach on how to apply AI to transform talent management in organizations”

Module 1. Personnel and Payroll Management with AI

1.1. Artificial Intelligence for Diversity and Inclusion in the Workplace

1.1.1. Diversity Analysis Using IBM Watson to Detect Trends and Biases
1.1.2. AI Tools for Detecting and Correcting Biases in HR Processes
1.1.3. Evaluating the Impact of Inclusion Policies using Data Analytics

1.2. Fundamentals of Personnel Administration with AI

1.2.1. Automation of Hiring and Onboarding Processes
1.2.2. Use of AI-Based Personnel Data Management Systems
1.2.3. Improving the Employee Experience through Intelligent Platforms

1.3. AI Technologies Applied to Payroll

1.3.1. AI Systems for Automated Payroll Calculation
1.3.2. Intelligent Profit Management with Platforms such as Gusto
1.3.3. Detection of Errors and Fraud in Payrolls Using AI Algorithms

1.4. Optimizing Resource Allocation with AI

1.4.1. Personnel Planning with Kronos Predictive Tools
1.4.2. AI Models for Shift and Task Assignment Optimization
1.4.3. Workload Analysis and Resource Allocation with Power BI

1.5. AI in HR Regulatory and Legal Compliance

1.5.1. Automation of Compliance with Labor Policies
1.5.2. AI Systems to Ensure Fairness and Transparency in HR
1.5.3. Contract and Regulatory Management with IBM Watson Legal Advisor

1.6. Predictive Analytics in Workforce Management

1.6.1. Predictive Models for Employee Retention with Retain's AI
1.6.2. Sentiment Analysis in Internal Communications
1.6.3. Predicting Training and Development Needs

1.7. Automating Benefits Management with AI

1.7.1. Benefits Administration Using Intelligent Platforms such as Zenefits
1.7.2. Customizing Benefit Packages using AI
1.7.3. Optimizing Benefit Costs Using Data Analytics

1.8. Integrating HR Systems with AI

1.8.1. Integrated Systems for Personnel Management with Salesforce Einstein
1.8.2. Interface and Usability in AI-Based HR Systems
1.8.3. Data Security and Privacy in Integrated Systems

1.9. AI-Supported Training and Development of Personnel

1.9.1. Adaptive and Personalized Learning Systems
1.9.2. AI-Powered E-Learning Platforms
1.9.3. Performance Assessment and Monitoring Using Intelligent Technologies

1.10. Crisis and Change Management with AI in HR

1.10.1. Using AI for Effective Management of Organizational Change
1.10.2. Predictive Tools for Crisis Preparedness with Predictive Layer
1.10.3. Data Analysis to Evaluate and Adapt HR Strategies in Times of Crisis

Module 2. Selection Processes and Artificial Intelligence

2.1. Introduction to the Application of Artificial Intelligence in Personnel Selection

2.1.1. Definition of Artificial Intelligence in the Human Resources Context. Entelo
2.1.2. Importance of Applying AI in Selection Processes
2.1.3. Benefits of Using AI in Selection Processes

2.2. Automating Tasks in the Recruitment Process

2.2.1. Using AI to Automate Job Postings
2.2.2. Implementing Chatbots to Answer Candidates' Frequently Asked Questions
2.2.3. Tools XOR

2.3. Resume Analysis with AI

2.3.1. Using AI Algorithms to Analyze and Evaluate Resumes. Talview
2.3.2. Automatic Identification of Skills and Experience Relevant to the Position
2.3.3. Advantages and Disadvantages

2.4. Candidate Filtering and Ranking

2.4.1. Applying AI to Automatically Filter Candidates Based on Specific Criteria. Vervoe
2.4.2. Ranking Candidates According to Suitability for the Position Using Machine Learning Techniques
2.4.3. Using AI for Dynamic Customization of Filtering Criteria based on Job Needs

2.5. Pattern Recognition on Social Networks and Professional Platforms

2.5.1. Using AI to Analyze Candidate Profiles on Social Networks and Professional Platforms
2.5.2. Identifying Behavioral Patterns and Trends Relevant to Recruiting
2.5.3. Assessing the Online Presence and Digital Influence of Candidates Using AI Tools

2.6. AI-Assisted Virtual Interviewing

2.6.1. Implementing Virtual Interviewing Systems with Language and Emotion Analysis. Talentoday
2.6.2. Automatic Evaluation of Candidate Responses Using Natural Language Processing Techniques
2.6.3. Developing Automatic and Personalized Feedback for Candidates Based on AI Interview Analysis

2.7. Evaluation of Skills and Competencies

2.7.1. Using AI-Based Assessment Tools to Measure Technical and Soft Skills. OutMatch
2.7.2. Automatically Analyzing Tests and Assessment Exercises Performed by Candidates. Harver
2.7.3. Correlation of Assessment Results with Success on the Job Using AI Predictive Analytics

2.8. Elimination of Selection Biases

2.8.1. Applying AI to Identify and Mitigate Unconscious Bias in the Selection Process
2.8.2. Implementing Unbiased and Fair AI Algorithms in Decision Making
2.8.3. Training and Continuous Tuning of AI Models to Ensure Fairness in Personnel Selection

2.9. Prediction of Fit and Retention

2.9.1. Using Predictive AI Models to Predict Candidate Suitability and Likelihood of Retention Hiretual
2.9.2. Analyzing Historical Data and Performance Metrics to Identify Patterns of Success
2.9.3. AI Models for Simulating Job Scenarios and Their Impact on Candidate Retention

2.10. Ethics and Transparency in AI Selection

2.10.1. Ethical Considerations in the Use of AI in the Personnel Selection Processes
2.10.2. Ensuring Transparency and Explainability in AI Algorithms Used in Hiring Decisions
2.10.3. Developing Audit and Review Policies for Automated Decisions

Module 3. AI and Its Application in Talent Management and Professional Development

3.1. Introduction to the Application of AI in Talent Management and Professional Development

3.1.1. Historical Evolution of AI in Talent Management and How It Has Transformed the Industry
3.1.2. Definition of Artificial Intelligence in the Human Resources Context
3.1.3. Importance of Talent Management and Professional Development Glint

3.2. Automation of Talent Management Processes

3.2.1. Using AI to Automate Administrative Tasks in Talent Management
3.2.2. Implementing AI-Based Talent Management Systems
3.2.3. Assessing Operational Efficiency and Cost Reduction through Automation with AI

3.3. Talent Identification and Retention with AI

3.3.1. Using AI Algorithms to Identify and Retain Talent in the Organization
3.3.2. Predictive Analytics for the Detection of Employees with High Growth Potential
3.3.3. Integrating AI with HR Management Systems for Continuous Performance and Development Tracking

3.4. Personalization of Professional Development. Leader Amp

3.4.1. Implementing Customized AI-Based Professional Development Programs
3.4.2. Using Recommendation Algorithms to Suggest Learning and Growth Opportunities
3.4.3. Matching Career Development Pathways to Labor Market Evolution Predictions Using AI

3.5. Competency and Skills Gap Analysis

3.5.1. Using AI to Analyze Employees' Current Skills and Competencies
3.5.2. Identification of Skills Gaps and Training Needs Using Data Analytics
3.5.3. Implementing Real-Time Training Programs Based on Automated AI Recommendations

3.6. Mentoring and Virtual Coaching

3.6.1. Implementation of AI-Assisted Virtual Mentoring Systems. Crystal
3.6.2. Using Chatbots and Virtual Assistants to Provide Personalized Coaching
3.6.3. Impact Assessment of Virtual Coaching Using Data Analysis and Automated AI Feedback

3.7. Achievement and Performance Recognition

3.7.1. Using AI-Based Achievement Recognition Systems to Motivate Employees BetterUp
3.7.2. Automatically Analyzing Employee Performance and Productivity Using AI
3.7.3. Developing an AI-Based Reward and Recognition System

3.8. Evaluation of Leadership Potential

3.8.1. Applying AI Techniques to Assess Leadership Potential of Employees
3.8.2. Identifying Emerging Leaders and Developing Tailored Leadership Programs
3.8.3. Using AI-Driven Simulations to Train and Evaluate Leadership Skills

3.9. Change Management and Organizational Adaptability

3.9.1. Predictive Analytics to Anticipate Change Needs and Promote Organizational Resilience
3.9.2. Organizational Change Planning Using AI
3.9.3. Using AI to Manage Organizational Change and Promote Adaptability Cognician

3.10. Ethics and Accountability in Talent Management with AI

3.10.1. Ethical Considerations in the Use of AI in Talent Management and Professional Development. Reflektive
3.10.2. Ensuring Fairness and Transparency in AI Algorithms Used in Talent Management Decision-Making
3.10.3. Implementation of Audits to Monitor and Adjust AI Algorithms to Ensure Ethical Practices

The contents of this program will provide you with a complete and practical vision of the impact of Artificial Intelligence in the Human Resources area of companies”