With this 100% online Postgraduate diploma, you will master the use of AI to customize professional development plans, which will increase the potential of each employee by adjusting their trajectory to their strengths and needs” 

Artificial Intelligence is playing a crucial role in assessing and improving career development and job satisfaction. In fact, companies are adopting AI tools to automate recruitment and performance evaluation processes, which not only saves time, but also allows for better personalization of the employee experience.

This is how this Postgraduate Diploma was created, in which professionals will be able to customize professional development plans through the use of AI, tailoring employee growth to their individual needs and skills. We will also analyze techniques to identify key talent within organizations, designing more effective retention strategies focused on long-term growth.

Likewise, the implementation of accurate and continuous performance evaluations, supported by AI systems that provide real-time feedback, will be discussed in depth. In this sense, skills will be developed to analyze large volumes of performance data, identifying patterns and areas of improvement that are essential for organizational growth. This will allow providing more timely and relevant feedback.

Finally, the analysis and improvement of the work climate will be addressed using AI tools that monitor employee well-being, through sentiment analysis and other key metrics. In this way, it will be possible to identify potential labor problems before they escalate, improving internal communication and promoting greater job satisfaction.

In this way, TECH has created a comprehensive, fully online program, which will only require an electronic device with Internet access to access all educational materials, eliminating inconveniences such as moving to a physical location or the need to adhere to a fixed schedule. Additionally, it will be based on the revolutionary Relearning learning methodology, which focuses on the constant repetition of key concepts to facilitate a natural and effective assimilation of the contents.

You will control tools for more accurate, real-time performance evaluations, improving data-driven decision making, from the best online university in the world, according to Forbes: TECH”

The  Postgraduate diploma in Assessment and Improvement of Career Development and Job Satisfaction through 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
• Content that is accessible from any fixed or portable device with an Internet connection

You will identify labor problems proactively, implementing solutions that will improve internal communication and overall team satisfaction, thanks to an extensive library of innovative multimedia resources” 

The program includes in its teaching staff professionals from the sector who bring to this program the experience of their work, as well as recognized specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide professionals with situated and contextual learning, i.e., a simulated environment that will provide immersive specialization, designed for specializing oneself 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 use AI to identify key talent within the organization, facilitating the design of effective retention strategies, crucial to keep the most valuable employees” 

You will develop skills in analyzing large volumes of performance data, enabling you to detect patterns and specific areas for improvement, through the best learning materials in the academic market” 

Professionals will examine key concepts of Artificial Intelligence and its application in performance evaluation and human talent management. Topics will include data analysis methodologies, job satisfaction measurement techniques and the development of training and continuous improvement programs. In addition, strategies to promote organizational wellbeing and feedback culture will be addressed, as well as the design and implementation of surveys and evaluation tools. Attention will also be paid to predictive analytics and machine learning techniques, essential to identify patterns and trends in work behavior. 

The contents of this Postgraduate diploma will cover a variety of fundamental topics, integrating theory and practice in the workplace”

Module 1. AI and Its Application in Talent Management and Professional Development

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

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

1.2. Automation of Talent Management Processes

1.2.1. Using AI to Automate Administrative Tasks in Talent Management
1.2.2. Implementing AI-Based Talent Management Systems
1.2.3. Assessing Operational Efficiency and Cost Reduction through Automation with AI

1.3. Talent Identification and Retention with AI

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

1.4. Personalization of Professional Development. Leader Amp

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

1.5. Competency and Skills Gap Analysis

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

1.6. Mentoring and Virtual Coaching

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

1.7. Achievement and Performance Recognition

1.7.1. Using AI-Based Achievement Recognition Systems to Motivate Employees BetterUp
1.7.2. Automatically Analyzing Employee Performance and Productivity Using AI
1.7.3. Developing an AI-Based Reward and Recognition System

1.8. Evaluation of Leadership Potential

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

1.9. Change Management and Organizational Adaptability

1.9.1. Predictive Analytics to Anticipate Change Needs and Promote Organizational Resilience
1.9.2. Organizational Change Planning Using AI
1.9.3. Using AI to Manage Organizational Change and Promote Adaptability Cognician

1.10. Ethics and Accountability in Talent Management with AI

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

Module 2. Performance Evaluations

2.1. Introduction to the Application of AI in Performance Appraisals

2.1.1. Definition of Artificial Intelligence and Its Role in Performance Appraisals. 15Five
2.1.2. Importance of Using AI to Improve the Objectivity and Efficiency of Appraisals
2.1.3. Limitations of AI in Performance Appraisals

2.2. Automation of Evaluation Processes

2.2.1. Using AI to Automate Data Collection and Analysis in Performance Appraisals Peakon
2.2.2. Implementing AI-Based Automated Evaluation Systems
2.2.3. Successful Studies in Automation with AI

2.3. Data Analysis and Performance Metrics

2.3.1. Using AI Algorithms to Analyze Performance Data and Trends
2.3.2. Identifying Key Metrics and KPIs Using Advanced Data Analysis Techniques
2.3.3. AI Data Analytics Training

2.4. Continuous Evaluation and Real-Time Feedback

2.4.1. Implementing AI-Assisted Continuous Assessment Systems. Lattice
2.4.2. Using Chatbots and Real-Time Feedback Tools to Provide Feedback to Employees
2.4.3. Impact of AI-Based Feedback

2.5. Identification of Strengths and Areas for Improvement

2.5.1. Applying AI to Identify Employee Strengths and Weaknesses
2.5.2. Automatic Analysis of Competencies and Skills Using Machine Learning Techniques. Workday Performance Management
2.5.3. Connection with Professional Development and Planning

2.6. Detection of Trends and Performance Patterns

2.6.1. Using AI to Detect Trends and Patterns in Employee Performance. TAlentSoft
2.6.2. Predictive Analytics to Anticipate Potential Performance Problems and Take Proactive Measures
2.6.3. Advanced Data Visualization Dashboards

2.7. Customization of Objectives and Development Plans

2.7.1. Implementing AI-Based Personalized Target Setting Systems. Reflektive
2.7.2. Using Recommendation Algorithms to Suggest Individualized Development Plans
2.7.3. Long-Term Impact of Personalized Targets

2.8. Elimination of Bias in Evaluations

2.8.1. Applying AI to Identify and Mitigate Bias in Performance Appraisals
2.8.2. Implementing Impartial and Equitable Algorithms in Evaluation Processes
2.8.3. AI Ethics Training for Evaluators

2.9.  Data Security and Protection in AI Evaluations

2.9.1. Ethical and Legal Considerations in the Use of Personal Data in Performance Evaluations with AI. LEver
2.9.2. Ensuring the Privacy and Security of Employee Information in AI-Based Evaluation Systems
2.9.3. Implementing Data Access Protocols

2.10. Continuous Improvement and Adaptability of the System

2.10.1. Using Feedback and Data Analysis to Continuously Improve Evaluation Processes
2.10.2. Adapting Evaluation Systems as the Organization's Needs and Objectives Change
2.10.3. Review Committee for Adjustment of Metrics

Module 3. Monitoring and Improving Work Climate with AI

3.1. Applying AI in Workplace Climate Management

3.1.1. Definition and Relevance of Work Climate
3.1.2. Overview of AI in the Management of Workplace Climate
3.1.3. Benefits of Using AI to Monitor Workplace Climate

3.2. AI Tools for Workplace Data Collection

3.2.1. Real-Time Feedback Systems with IBM Watson
3.2.2. Automated Survey Platforms
3.2.3. Sensors and Wearables for Physical and Environmental Data Collection

3.3. Sentiment Analysis with AI

3.3.1. Fundamentals of Sentiment Analysis
3.3.2. Using Google Cloud Natural Language to Analyze Emotions in Written Communication
3.3.3. Applying Sentiment Analysis in Emails and Corporate Social Networks

3.4. Machine Learning for the Identification of Behavioral Patterns

3.4.1. Clustering with K-Means in Python for Segmenting Workplace Behaviors
3.4.2. Pattern Recognition in Behavioral Data
3.4.3. Predicting Trends in Work Climate

3.5. AI in the Proactive Detection of Workplace Problems

3.5.1. Predictive Models to Identify Conflict Risks
3.5.2. AI-Based Early Warning Systems
3.5.3. Detection of Harassment and Discrimination Using Text Analytics with spaCy

3.6. Improving Internal Communication with AI

3.6.1. Chatbots for Internal Communication
3.6.2. Network Analysis with AI to Improve Collaboration Using Gephi
3.6.3. AI Tools to Personalize Internal Communications

3.7. Change Management with AI Support

3.7.1. AI Simulations to Predict Impacts of Organizational Change with AnyLogic
3.7.2. AI Tools to Manage Resistance to Change
3.7.3. AI Models for Optimizing Change Strategies

3.8. Assessment and Continuous Improvement of Work Climate with AI

3.8.1. Continuous Work Climate Monitoring Systems
3.8.2. Algorithms for Analyzing the Effectiveness of Interventions
3.8.3. AI for the Customization of Work Climate Improvement Plans

3.9. Integration of AI and Organizational Psychology

3.9.1. Psychological Theories Applied to AI Analysis
3.9.2. AI Models for Understanding Motivation and Job Satisfaction
3.9.3. AI Tools to Support Employee Emotional Well-Being

3.10. Ethics and Privacy in the Use of AI to Monitor Workplace Climate

3.10.1. Ethical Considerations of Workplace Monitoring
3.10.2. Data Privacy and Regulatory Compliance
3.10.3. Transparent and Responsible Data Management

You will gain a comprehensive and up-to-date vision that will enable you to develop innovative solutions to improve professional development and job satisfaction”