Gen AI for Data Privacy & Protection (Coursera)

By the conclusion of this course, you will have the skills to:

- Understand the principles and applications of Generative AI in the context of data privacy and protection.

- Explore Generative AI methodologies, including differential privacy techniques, to meet real-world data protection challenges, enhancing your ability to safeguard sensitive information effectively.

- Comprehend the critical aspects of Generative AI’s impact on data privacy, including navigating ethical considerations, implementing best practices for secure data handling, and adhering to global privacy regulations.

This course is targeted for a broad audience, ranging from Data Protection Officers, Privacy Consultants, AI Researchers to Cybersecurity Professionals looking to deepen their understanding of AI's potential in enhancing data privacy measures.

While prior knowledge of AI or data privacy principles is helpful, it is not a prerequisite for success in this course.

Join us on this enlightening path to harness the potential of Generative AI for Data Privacy and Protection, and take a significant step forward in your professional journey towards becoming a leader in data privacy innovation.

What you'll learn

Learners will grasp the significance of data privacy, navigate AI ethics, and safeguard data with the help of Generative AI.

Syllabus

Generative AI for Data Privacy and Protection

This introductory short course offers an exploration into using Generative AI for Data Privacy & Protection, designed for learners keen on advancing their expertise in this critical area. Through a curriculum that blends theoretical foundations with practical applications, participants delve into the core aspects of Generative AI for safeguarding data, and the essential considerations of ethics and compliance. The short course aims to equip learners with the skills to adeptly navigate the complexities of data protection, ensuring ethical integrity and regulatory adherence, thus helping them to understand the challenges of implementing cutting-edge data privacy solutions in a rapidly evolving technological landscape.