For those who want to deepen their knowledge in the field of data protection and confidentiality, especially in the context of AI. Participants will gain not only a theoretical foundation in legal and ethical aspects but also practical skills in implementing modern encryption methods, securing input data, and developing effective monitoring systems. The course will help them successfully integrate data protection measures into various stages of the AI project lifecycle, enhancing overall resilience and security of business processes.
Analysis and recommendations for enhancing the security of existing AI systems
Crafting a data protection strategy aligned with legal requirements and ethical standards
Creating a cybersecurity training program for individuals working with AI terms
Training Course Program
STARTING TWICE A MONTH
Lecture 1:
Introduction to Data Protection and Privacy in the Context of AI
Course introduction and outline
Fundamental concepts of data protection and privacy
Roles and significance of data protection in the context of AI
Introduction to AI and its applications in security
Lecture 2:
Legal Aspects of Data Protection and AI
Examination of international and national laws regulating data collection, storage, and processing
Analysis of the consequences of non-compliance with legislative requirements in the context of AI
Lecture 3:
Ethical Considerations of AI and Data Confidentiality
Discussion of ethical aspects of using AI in the context of data protection
Principles of responsible AI usage
Lecture 4:
Encryption Systems in Data Security
Basics of cryptography and its application in data protection
Modern encryption methods and their use in safeguarding information in AI systems
Lecture 5:
Ensuring Input Data Security for AI
Analysis of methods to secure input data used in AI systems
Proactive approaches to preventing attacks on input data
Lecture 6:
Audit and Monitoring of Data Protection in AI
Development of auditing and monitoring skills in the context of AI
Incident detection systems and their role in ensuring data security
Lecture 7:
Regulation of AI and Data Protection in Various Industries
Examination of specific requirements and regulations in different industries where AI is employed
Examples of successful data protection implementation according to industry standards
Lecture 8:
Integrating Data Protection into the AI Project Lifecycle
Practical recommendations for integrating data protection measures into various stages of the AI project lifecycle
Discussion of best practices and successful implementation examples
Practical Session 1:
Assessing Data Protection Levels
Analysis of existing AI systems for their data protection levels
Development of recommendations for enhancing system security
Practical Session 2:
Developing a Data Protection Policy
Crafting a data protection policy aligned with legislative requirements and ethical standards
Planning implementation steps and defining key performance indicators
Practical Session 3:
Cybersecurity Training for Personnel
Creation of a cybersecurity training program for personnel working with AI systems
Evaluation of the effectiveness of the training
Practical Session 4:
Monitoring and Incident Detection
Development of a monitoring system for detecting anomalies in the operation of AI systems
Practical testing of the system using real-world scenarios
What kind of result will you get
Participants will gain a comprehensive understanding of legal, ethical, and technical aspects related to securing data in AI applications. Through practical assignments, they will develop skills in assessing data protection levels, crafting policies, conducting cybersecurity training, and implementing monitoring systems for incident detection in AI projects.
Student feedback on the course
The course on data protection in AI exceeded all my expectations! Useful knowledge applicable in real practice.
Noah Patterson
Thanks to this course, I have become more confident in the field of AI cybersecurity. Great methodology and great instructors!
Mason Powell
Really liked the emphasis on the ethical aspects of AI. It gives a deep understanding of the importance of using technology responsibly.
Valery Ward
Interesting practical assignments helped to better internalize the material. Thanks for the real cases and scenarios!
Wendy Torres
The course is perfectly structured and the real world examples make it even more valuable. I recommend it to anyone working with AI and data protection!
Liam Brooks
What you will get after the course
Mastering the basics of cryptography, modern encryption techniques and preventing attacks on input data.
Discussion of ethical issues in the application of AI in the context of data protection.
Developing auditing and monitoring skills to ensure data security in AI systems.
Exploring the requirements and standards in various industries where AI is used.
Practical recommendations for implementing data protection measures at various stages of the AI project lifecycle.
Official school certificate
Recordings of all lectures
10% discount on any of our courses
Price without discount 8 000 €
7 200 €
Course fees
If you register early (over a month prior to the beginning of the course), you will receive a 10% discount on the entire program.
Register for the course and get 10% off!
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