Master Llm Security & Responsible Ai: Protecting The Future

Master LLM Security and Responsible AI: Protect, Optimize, and Build Trustworthy AI Systems with Industry-Ready Skills

What you'll learn

Understand the fundamentals of LLM (Large Language Model) security and its significance in modern AI systems.

Learn to identify and mitigate vulnerabilities in AI models, including risks related to data privacy and model exploitation.

Gain practical knowledge of securing AI systems against misinformation, bias, and adversarial attacks.

Explore the principles of responsible AI and how to implement them in real-world scenarios.

Requirements

Basic understanding of AI and machine learning concepts (optional but recommended).

Description

Are you ready to dive into the cutting-edge world of AI security? This course, "Mastering LLM Security and Responsible AI", is your gateway to understanding and securing Large Language Models (LLMs) while mastering the principles of Responsible AI development. Whether you’re an AI enthusiast, cybersecurity professional, or software developer, this course equips you with the essential skills to protect, optimize, and build trustworthy AI systems.What You'll Learn:Foundations of LLM Security: Understand vulnerabilities in LLMs and learn strategies to mitigate security risks.Responsible AI Practices: Explore ethical AI design and implementation to ensure compliance with global standards.Threat Detection & Response: Use practical tools and techniques to identify and resolve real-world AI threats.Building Resilient AI Systems: Learn how to integrate security into AI pipelines to develop robust and scalable solutions.Why Enroll in This Course?Comprehensive curriculum combining theory, practical tools, and real-world case studies.Learn from cybersecurity experts with hands-on experience in LLM and AI security.Step-by-step guidance to ensure your AI systems are secure, compliant, and ethical.Who Should Take This Course?AI developers looking to strengthen their security knowledge.Cybersecurity professionals interested in specializing in AI and LLM security.Tech enthusiasts who want to understand the challenges and solutions in responsible AI development.Don’t just keep up with AI—stay ahead of it. Enroll today and become a certified expert in LLM Security and Responsible AI!

Overview

Section 1: Introduction

Lecture 1 Introduction to the Course

Lecture 2 What is LLM Security?

Lecture 3 Understanding Transformers, RAG, and More…

Lecture 4 Understanding the RAG Architecture

Lecture 5 LLM Security Threat Attack Vectors

Section 2: OWASP Top 10 for LLM Applications

Lecture 6 Prompt Injection

Lecture 0 Lab: Prompt Injection

Lecture 7 Sensitive Information Disclosure

Lecture 0 Lab: Presidio

Lecture 8 Supply Chain Attacks

Lecture 9 Data & Model Poisoning

Lecture 0 Lab: Data Poisoning

Lecture 0 Improper Output Handling

Lecture 10 Excessive Agency

Lecture 11 System Prompt Leakage

Lecture 12 Vector and Embedding Weaknesses

Lecture 13 Misinformation

Lecture 0 Lab: Misinformation

Lecture 0 Lab: Image Manipulation

Lecture 14 Unbounded Consumption (DDOS)

Section 3: Mitigation Strategies

Lecture 15 Implementing Robust Data Validation Techniques

Lecture 16 Developing Secure Prompt Engineering Practices

Lecture 0 Utilizing AI Monitoring and Anomaly Detection Tools

Lecture 0 Defending Against Adversarial Attacks

Lecture 0 Encryption and Access Control for LLMs

Lecture 0 Leveraging Privacy Techniques

Lecture 0 Model Watermarking and Traceability

Lecture 0 Regular Security Audits

Lecture 0 Updating and Patching LLM Models

Lecture 0 Collaboration and Threat Intelligence Sharing

Lecture 0 What is Responsible AI?

Lecture 0 Ensuring Transparency and Explainability in AI Models

Lecture 0 Addressing Bias and Fairness in LLMs

Lecture 0 Regulatory Frameworks and Compliance Standards

Lecture 0 Guardrails: What Are They and Why Are They Important?

Lecture 0 Guardrails

Lecture 0 Training Teams on AI Ethics and Security Protocols

Lecture 0 Collaborating with Stakeholders for Continuous Improvement

Lecture 0 Future Trends in AI Security & Responsible AI

Cybersecurity professionals looking to expand their expertise into AI security.,Students and enthusiasts interested in securing AI systems and exploring LLM security.,Developers and researchers working with AI models who want to build more secure and responsible AI solutions.,Anyone passionate about responsible AI and mitigating risks associated with AI technologies.