Through this 100% online Postgraduate Diploma, you will get the most out of Artificial Intelligence to develop individualized Professional Development plans and optimize employee well-being”

Why Study at TECH?

TECH is the world's largest 100% online business school. It is an elite business school, with a model based on the highest academic standards. A world-class center for intensive managerial skills education.   

TECH is a university at the forefront of technology, and puts all its resources at the student's disposal to help them achieve entrepreneurial success"

At TECH Global University

Innovation

The university offers an online learning model that balances the latest educational technology with the most rigorous teaching methods. A unique method with the highest international recognition that will provide students with the keys to develop in a rapidly-evolving world, where innovation must be every entrepreneur’s focus.

"Microsoft Europe Success Story", for integrating the innovative, interactive multi-video system. 

The Highest Standards

Admissions criteria at TECH are not economic. Students don't need to make a large investment to study at this university. However, in order to obtain a qualification from TECH, the student's intelligence and ability will be tested to their limits. The institution's academic standards are exceptionally high...  

95% of TECH students successfully complete their studies

Networking

Professionals from countries all over the world attend TECH, allowing students to establish a large network of contacts that may prove useful to them in the future.  

+100.000 executives prepared each year, +200 different nationalities

Empowerment

Students will grow hand in hand with the best companies and highly regarded and influential professionals. TECH has developed strategic partnerships and a valuable network of contacts with major economic players in 7 continents.  

+500 collaborative agreements with leading companies 

Talent

This program is a unique initiative to allow students to showcase their talent in the business world. An opportunity that will allow them to voice their concerns and share their business vision. 

After completing this program, TECH helps students show the world their talent. 

Multicultural Context

While studying at TECH, students will enjoy a unique experience. Study in a multicultural context. In a program with a global vision, through which students can learn about the operating methods in different parts of the world, and gather the latest information that best adapts to their business idea. 

TECH students represent more than 200 different nationalities.  

Learn with the best

In the classroom, TECH’s teaching staff discuss how they have achieved success in their companies, working in a real, lively, and dynamic context. Teachers who are fully committed to offering a quality specialization that will allow students to advance in their career and stand out in the business world. 

Teachers representing 20 different nationalities. 

TECH strives for excellence and, to this end, boasts a series of characteristics that make this university unique:   

Analysis

TECH explores the student’s critical side, their ability to question things, their problem-solving skills, as well as their interpersonal skills.  

Academic Excellence

TECH offers students the best online learning methodology. The university combines the Relearning method (postgraduate learning methodology with the best international valuation) with the Case Study. Tradition and vanguard in a difficult balance, and in the context of the most demanding educational itinerary. 

Economy of Scale

TECH is the world’s largest online university. It currently boasts a portfolio of more than 10,000 university postgraduate programs. And in today's new economy, volume + technology = a ground-breaking price. This way, TECH ensures that studying is not as expensive for students as it would be at another university.   

At TECH, you will have access to the most rigorous and up-to-date case analyses in academia" 

The Postgraduate Diploma in Assessment and Improvement of Professional Development and Job Satisfaction through Artificial Intelligence is a custom-designed curriculum delivered in a 100% online format that adapts to your own schedule, which will lay the foundation for your professional growth and prepare you for strategic roles such as Human Resources Management.  

You will master specialized Artificial Intelligence software to measure Professional Development and increase employee Job Satisfaction”

Syllabus

The Postgraduate Diploma in Assessment and Improvement of Professional Development and Job Satisfaction through Artificial Intelligence from TECH Global University is an intensive program that prepares you to face business decisions in Human Resources. 

The curriculum will address the most sophisticated Artificial Intelligence techniques to automate administrative tasks such as performance evaluation systems, monitoring compliance with labor policies and even contract management.  

The curriculum will also delve into advanced Machine Learning techniques to detect employees with high growth potential and develop individualized training programs to retain talent.

Module 1. Artificial Intelligence and Its Application in Talent Management and Professional Development 
Module 2. Performance Evaluations 
Module 3. Monitoring and Improving Work Climate with Artificial Intelligence 

Where, When and How is it Taught?

TECH offers you the possibility to study this Postgraduate Diploma in Assessment and Improvement of Professional Development and Job Satisfaction through Artificial Intelligence completely online. Throughout the 6 months of the educational program, the students will be able to access all the contents of this program at any time, allowing them to self-manage their study time.

Module 1. Artificial Intelligence and Its Application in Talent Management and Professional Development 

1.1. Introduction to the Application of Artificial Intelligence 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 Artificial Intelligence to Automate Administrative Tasks in Talent Management  
1.2.2. Implementing Artificial Intelligence-Based Talent Management Systems  
1.2.3. Assessing Operational Efficiency and Cost Reduction through Automation with Artificial Intelligence 

1.3. Talent Identification and Retention with Artificial Intelligence 

1.3.1. Using Artificial Intelligence 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 Artificial Intelligence with HR Management Systems for Continuous Performance and Development Tracking

1.4. Personalization of Professional Development. Leader Amp  

1.4.1. Implementing Customized Artificial Intelligence-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 Artificial Intelligence

1.5. Competency and Skills Gap Analysis  

1.5.1. Using Artificial Intelligence 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 Artificial Intelligence Recommendations  

1.6. Mentoring and Virtual Coaching  

1.6.1. Implementation of Artificial Intelligence-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 Artificial Intelligence Feedback 

1.7. Achievement and Performance Recognition  

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

1.8. Evaluation of Leadership Potential  

1.8.1. Applying Artificial Intelligence Techniques to Assess Leadership Potential of Employees  
1.8.2. Identifying Emerging Leaders and Developing Tailored Leadership Programs  
1.8.3. Using Artificial Intelligence-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 Artificial Intelligence  
1.9.3. Using Artificial Intelligence to Manage Organizational Change and Promote Adaptability. Cognician  

1.10. Ethics and Accountability in Talent Management with Artificial Intelligence 

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

Module 2. Performance Evaluations 

2.1. Introduction to the Application of Artificial Intelligence in Performance Evaluations  

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

2.2. Automation of Evaluation Processes  

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

2.3. Data Analysis and Performance Metrics  

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

2.4. Continuous Evaluation and Real-Time Feedback  

2.4.1. Implementation of Artificial Intelligence-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 Artificial Intelligence-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 Artificial Intelligence-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 Artificial Intelligence to Identify and Mitigate Bias in Performance Evaluations  
2.8.2. Implementing Impartial and Equitable Algorithms in Evaluation Processes  
2.8.3. Artificial Intelligence Ethics Training for Evaluators  

2.9.  Data Security and Protection in Artificial Intelligence Evaluations 

2.9.1. Ethical and Legal Considerations in the Use of Personal Data in Performance Evaluations with Artificial Intelligence. LEver  
2.9.2. Ensuring the Privacy and Security of Employee Information in Artificial Intelligence-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 Artificial Intelligence 

3.1. Applying Artificial Intelligence in Workplace Climate Management  

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

3.2. Artificial Intelligence 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. Artificial Intelligence Sentiment Analysis 

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. Artificial Intelligence in the Proactive Detection of Workplace Problems  

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

3.6. Improving Internal Communication with Artificial Intelligence 

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

3.7. Change Management with Artificial Intelligence Support  

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

3.8. Assessment and Continuous Improvement of Work Climate with Artificial Intelligence 

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

3.9. Integration of Artificial Intelligence and Organizational Psychology  

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

3.10. Ethics and Privacy in the Use of Artificial Intelligence 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 develop the most effective predictive analytics to create more productive work environments and increase talent development in organizations”