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Generative AI Data Privacy and Safe Use for Developers

Generative AI applications present unique security and privacy challenges. This course will teach you how to integrate GenAI APIs securely while protecting user data and ensuring compliance.

Beginner
54m

Created by Bogdan Sucaciu

Last Updated Feb 04, 2026

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  • Course

Generative AI Data Privacy and Safe Use for Developers

Generative AI applications present unique security and privacy challenges. This course will teach you how to integrate GenAI APIs securely while protecting user data and ensuring compliance.

Beginner
54m

Created by Bogdan Sucaciu

Last Updated Feb 04, 2026

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What you'll learn

As developers integrate generative AI into applications, they face critical challenges around data privacy, security vulnerabilities, and regulatory compliance. In this course, Generative AI Data Privacy and Safe Use for Developers, you’ll learn to build secure, privacy-compliant GenAI applications. First, you’ll explore the OWASP Top 10 for LLMs and common vulnerabilities. Next, you’ll discover how to implement privacy-first API configurations. Finally, you’ll learn how to ensure regulatory compliance. When you’re finished with this course, you’ll have the skills and knowledge of GenAI data privacy needed to safely deploy LLM-powered applications in production environments.

Generative AI Data Privacy and Safe Use for Developers
Beginner
54m
Table of contents

About the author
Bogdan Sucaciu - Pluralsight course - Generative AI Data Privacy and Safe Use for Developers
Bogdan Sucaciu
29 courses 4.5 author rating 509 ratings

Bogdan Sucaciu is a Software Engineer at Axual in The Netherlands, where he is taking part in building a Streaming Platform designed to share information in real-time, enabling instant processing of incoming events. He has several years of experience "cooking" software with JVM-based languages, some flavors of web technologies and garnishing with automated testing.

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