Through this 100% online Postgraduate certificate, you will master the most advanced techniques of Intrusion Prevention using Generative Artificial Intelligence Models”

A new report prepared by the United Nations highlights that 68% of companies globally reported an increase in cyber-attacks during the last few months. This increase in the frequency and sophistication of attacks has surpassed the capabilities of traditional cybersecurity solutions. In this context, Generative Artificial Intelligence offers a significant advantage by generating synthetic data that simulates attacks and improves the accuracy of intrusion detection systems. Hence the importance for professionals to apply Generative Models such as generative adversarial networks to optimize cyber defenses.

With this in mind, TECH presents a pioneering Postgraduate certificate in Intrusion Detection and Prevention Using Generative Artificial Intelligence Models. Designed by renowned specialists in this field, the academic itinerary will delve into areas ranging from the use of generative techniques to recreate attack scenarios or the use of Gemini to detect anomalies in networks to advanced big data techniques for Intrusion prevention. Thanks to this, students will gain the necessary skills to design and implement advanced solutions for Intrusion Detection and Prevention Using Generative Artificial Intelligence Models.

Furthermore, TECH has created a 100% online academic environment. In this way, experts will be able to individually manage their schedules and evaluation timetables. It also implements its disruptive Relearning method, based on the repetition of key concepts to consolidate knowledge in an optimal way. Thanks to this, specialists will enjoy a dynamic and enjoyable immersive experience that will contribute to maximize the quality of their daily practice. In this sense, the only thing students will require is an electronic device with an Internet connection to enter the Virtual Campus. On this platform, they will enjoy access to a library full of multimedia support pills such as explanatory videos, interactive summaries or specialized readings. 

You will analyze the use of Generative Artificial Intelligence to implement innovative solutions that accurately detect threats”

This Postgraduate certificate in Intrusion Detection and Prevention Using Generative Artificial Intelligence Models contains the most complete and up-to-date educational program on the market. Its most notable features are:

• Development of practical cases presented by experts in Artificial Intelligence
• The graphic, schematic and eminently practical contents with which it is conceived gather scientific and practical information on those disciplines that are indispensable 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 delve into the development of intelligent systems to ensure their effectiveness and adaptability in the face of emerging cyber threats”

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational 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 course. For this purpose, students will be assisted by an innovative interactive video system created by renowned experts.  

You will specialize in the simulation of cyber attacks with state-of-the-art Generative Models"

At your own speed: the Relearning methodology used in this Postgraduate certificate will allow you to learn in an autonomous and progressive way. At your own speed!"

The academic itinerary will delve into subjects ranging from the use of Gemini for network anomaly detection or the application of generative models in the simulation of attacks to the most sophisticated clustering techniques. In this way, students will be able to develop and implement advanced Artificial Intelligence models to detect intrusions in real time, create proactive defense systems and predict malicious behavior in networks.

You will use precision metrics to tune and improve Intrusion Detection systems”

Module 1. Intrusion Detection and Prevention Using Generative Artificial Intelligence Models

1.1. ndamentals of IDS/IPS Systems and the Role of Artificial Intelligence

1.1.1. Definition and Basic Principles of IDS and IPS Systems
1.1.2. Main pes and Configurations of IDS/IPS
1.1.3. Contribution of Artificial Intelligence in the Evolution of Detection and Prevention Systems

1.2. Use of Gemini for Network Anomaly Detection

1.2.1. Concepts and pes of Anomalies in Network Traffic
1.2.2. Gemini's Features for Network Data Analysis
1.2.3. Benefits of Anomaly Detection in Intrusion Prevention

1.3. Gemini and the Identification of Intrusion Patterns

1.3.1. Principles of Intrusion Pattern Identification and Classification
1.3.2. AI Techniques Applied in the Detection of Threat Patterns
1.3.3. pes of Patterns and Anomalous Behavior in Network Security

1.4. Application of Generative Models in Attack Simulation

1.4.1. ndamentals of Generative Models in Artificial Intelligence
1.4.2. Use of Generative Models to Recreate Attack Scenarios
1.4.3. Advantages and Limitations of Attack Simulation Using Generative Artificial Intelligence

1.5. Clustering and Event Classification Using Artificial Intelligence

1.5.1. ndamentals of Clustering and Classification in Intrusion Detection
1.5.2. Common Clustering Algorithms Applied in Cybersecurity
1.5.3. Role of Artificial Intelligence in Improving Event Classification Methods

1.6. Gemini in the Generation of Behavioral Profiles

1.6.1. User and Device Profiling Concepts
1.6.2. Application of Generative Models in the Creation of Profiles
1.6.3. Benefits of Behavioral Profiling in Threat Detection

1.7. Big Data Analysis for Intrusion Prevention

1.7.1. Importance of Big Data in Detecting Security Patterns
1.7.2. Methods for Processing Large Volumes of Data in Cybersecurity
1.7.3. AI Applications in Analysis and Prevention Based on Big Data

1.8. Data Reduction and Selection of Relevant Features with Artificial Intelligence

1.8.1. Principles of Dimensionality Reduction in Large Data Volumes
1.8.2. Feature Selection to Improve the Efficiency of Artificial Intelligence Analysis
1.8.3. Data Reduction Techniques Applied in Cybersecurity

1.9. Evaluation of Artificial Intelligence Models in Intrusion Detection

1.9.1. Evaluation Criteria of Artificial Intelligence Models in Cybersecurity
1.9.2. Performance and Accuracy Indicators of the Models
1.9.3. Importance of Constant Validation and Evaluation in Artificial Intelligence

1.10. Implementation of an Intrusion Detection System Powered by Generative Artificial Intelligence

1.10.1. Basic Concepts of Intrusion Detection System Implementation
1.10.2. Integration of Generative Artificial Intelligence in IDS/IPS Systems
1.10.3. Key Aspects for the Configuration and Maintenance of Artificial Intelligence-Based Sys

By studying through videos, interactive summaries or evaluative tests, you will assimilate all the knowledge in a fast and enjoyable way”