TRAINING COURSE

Data protection and privacy

in the context of AI

STARTING TWICE A MONTH
DURATION 7 WEEKS
‎‎ ‎7 200 €
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
  1. Mastering the basics of cryptography, modern encryption techniques and preventing attacks on input data.
  2. Discussion of ethical issues in the application of AI in the context of data protection.
  3. Developing auditing and monitoring skills to ensure data security in AI systems.
  4. Exploring the requirements and standards in various industries where AI is used.
  5. 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!
Fill out the form and we'll send you a confirmation email.
"Cosmopolitacademy" LLC
264.110.1320023
TIN: 08256519
Komitas 19/1, Erevan, Armenia