TECH's 100% online methodology will allow you to update your knowledge without interrupting your professional work"

More and more educational institutions are becoming aware of the benefits of Machine Learning for academic data processing. Among them, the detection of suspicious activities, which could indicate a possible violation of privacy, stands out. In turn, this mechanism drives biometric authentication, such as facial or fingerprint recognition, to ensure that only authorized individuals have access to information. Similarly, Artificial Intelligence (AI) serves to manage the encryption of recorded facts efficiently.

In this sense, TECH has designed an innovative program that will offer the keys to implement secure protocols in the treatment of educational data, through the use of Artificial Intelligence. At the same time, the syllabus will delve into the most effective mechanisms for the predictive study of academic performance data.

In addition, students will analyze data that will contribute to both the prevention and solution of educational problems. In addition, the program will provide the keys for graduates to develop personalized diagnoses of learning difficulties.

On the other hand, the university qualification will be based on the revolutionary Relearning methodology, a learning system pioneered by TECH, which consists of reiterating the key aspects of the syllabus so that they remain in the mind. The program can be planned individually, as there are no preset schedules or evaluation chronograms. All students will need is an electronic device with Internet access, such as a cell phone, tablet or computer.

Likewise, the Virtual Campus will be available 24 hours a day, offering users the possibility of downloading teaching materials for later consultation. They will also be able to access a library full of multimedia resources, including interactive summaries and infographics, all to strengthen their knowledge in a dynamic way.

You will master the most modern Machine Learning algorithms to obtain academic performance data"

The Postgraduate certificate in Personalization of Education through Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include: 

• The development of case studies presented by experts in Personalization of Education through Artificial Intelligence
• The graphic, schematic and practical contents of the book provide theoretical and practical information on those disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out 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 use the most sophisticated applications to detect the particular educational needs of your students”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading 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 academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

The program will include real case studies and exercises to bring the development of the program closer to the usual teaching practice"

Relearning will allow you to learn with less effort and higher performance, involving you more in your professional specialization"

This university program will provide professionals with a thorough understanding of the Personalization of Education through Artificial Intelligence. Designed by an experienced faculty, the syllabus will delve into the identification, extraction, preparation and evaluation of educational data. Graduates will apply continuous improvements in the classroom, guaranteeing teaching based on excellence. In this line, the syllabus will provide various tools of Machine Learning, which will allow more informed educational decisions. Finally, the program will delve into the application of Data Analysis to prevent and solve educational problems quickly.

This Postgraduate certificate merges teaching excellence with the technological revolution of Artificial Intelligence, so that you can stay at the forefront of education" 

Module 1. Data Analysis and Application of AI Techniques for Educational Personalization

1.1. Identification, Extraction and Preparation of Educational Data 

1.1.1. Applying H2O.ai in the Collection and Selection of Relevant Data in Educational Settings 
1.1.2. Data Cleaning and Normalization Techniques for Educational Analyses 
1.1.3. Importance of Data Integrity and Quality in Educational Research 

1.2. Analysis and Evaluation of Educational Data with AI for Continuous Improvement in the Classroom 

1.2.1. Implementation of TensorFlow in the Interpretation of Educational Trends and Patterns using Machine Learning Techniques
1.2.2. Evaluating the Impact of Pedagogical Strategies using Data Analytics 
1.2.3. Application of Trinka in the Integration of AI-Based Feedback for the Optimization of the Teaching Process

1.3. Definition of Academic Performance Indicators from Educational Data 

1.3.1. Establishment of Key Metrics for Evaluating Student Achievement 
1.3.2. Comparative Analysis of Indicators to Identify Areas for Improvement 
1.3.3. Correlation Between Academic Indicators and External Factors Using AI 

1.4. AI Tools for Educational Decision Making and Monitoring 

1.4.1. Decision Support Systems Based on tome.ai for Educational Administrators 
1.4.2. Use of Trello for Educational Resource Planning and Allocation
1.4.3. Optimization of Educational Processes through Predictive Analytics with Orange Data Mining 

1.5. AI Technologies and Algorithms for Predictive Analysis of Academic Achievement Data 

1.5.1. Fundamentals of Predictive Modeling in Education 
1.5.2. Use of Classification and Regression Algorithms to Predict Trends in Education 
1.5.3. Case Studies of Successful Predictions in Educational Environments 

1.6. Application of Data Analytics with AI for the Prevention and Solution of Educational Problems 

1.6.1. Evaluating the Impact of DataRobot AI-Based Solutions in Education 
1.6.2. Data-driven Intervention Strategies to Address Educational Challenges 
1.6.3. Assessing the Impact of AI-based Solutions in Education 

1.7. Personalized Diagnosis of Learning Difficulties from Data Analytics with AI 

1.7.1. AI Techniques for the Identification of Learning Styles and Learning Difficulties with IBM Watson Education
1.7.2. Integration of Data Analysis into Individualized Educational Support Plans 
1.7.3. Case Studies of Diagnoses Improved by the Use of AI 

1.8. Data Analysis and Application of AI for Identification of Special Educational Needs 

1.8.1. AI Approaches to Special Educational Needs Screening with Gooroo 
1.8.2. Personalization of Teaching Strategies Based on Data Analysis 
1.8.3. Evaluation of the Impact of AI on Educational Inclusion 

1.9. Personalization of Learning with AI from Academic Performance Data Analytics 

1.9.1. Creating Adaptive Learning Pathways using Smart Sparrow
1.9.2. Implementation of Recommender Systems for Educational Resources 
1.9.3. Real-Time Individual Progress Measurement and Adjustment via Squirrel AI Learning 

1.10. Security and Privacy in the Processing of Educational Data 

1.10.1. Ethical and Legal Principles in the Management of Educational Data 
1.10.2. Data Protection and Privacy Techniques for Educational Systems with Google Cloud Security
1.10.3. Case Studies on Security Breaches and their Impact on Education 

The current importance of Personalization of Education makes this program a safe bet, especially in an ever-growing market full of possibilities"