Privacy and Security for Large Language Models

Description

Privacy and Security for Large Language Models

Privacy and Security for Large Language Models is a comprehensive, industry-focused course designed to help professionals, developers, and researchers understand how to safeguard sensitive data and protect AI systems from modern security threats. This introduction is optimized for use as a meta description and highlights the critical importance of privacy-preserving AI in today’s data-driven world.

Course Overview

Large Language Models (LLMs) are transforming industries such as healthcare, finance, education, and cybersecurity. However, their widespread adoption introduces serious concerns related to data privacy, model leakage, prompt injection attacks, and regulatory compliance. This course delivers a deep dive into the privacy and security challenges unique to LLMs and provides practical strategies to mitigate risks throughout the AI lifecycle.

What You Will Learn

• Core privacy risks associated with training and deploying Large Language Models
• Threat models and attack vectors targeting LLM-based systems
• Techniques such as differential privacy, data anonymization, and secure fine-tuning
• Prompt security, jailbreak prevention, and input/output filtering
• Model governance, access control, and auditability best practices

Privacy-Preserving Techniques for LLMs

This course explores advanced privacy-enhancing technologies including federated learning, encryption methods, and secure data pipelines. You will understand how to reduce data exposure while maintaining model performance, ensuring compliance with global data protection regulations such as GDPR and emerging AI governance frameworks.

Security Threats and Defense Strategies

Learn how adversaries exploit LLM vulnerabilities through prompt injection, data extraction attacks, and model inversion. The course provides actionable defense mechanisms, including red teaming strategies, secure deployment architectures, and continuous monitoring approaches tailored for AI-powered applications.

Who Should Take This Course?

• AI engineers and machine learning practitioners
• Cybersecurity and privacy professionals
• Data scientists working with sensitive datasets
• Technology leaders responsible for AI governance

Explore These Valuable Resources

• OWASP Top 10 for Large Language Model Applications
• NIST AI Risk Management Framework
• Research on Privacy Risks in Large Language Models

Explore Related Courses

• Explore Related Courses: Artificial Intelligence
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Why This Course Matters

As organizations increasingly rely on LLMs for mission-critical tasks, understanding privacy and security is no longer optional. This course equips you with the knowledge and tools required to design trustworthy AI systems, protect user data, and confidently deploy Large Language Models in real-world environments.