Data Poisoning Courses and Certifications

Mastering the OWASP Top 10 for LLM Applications

374 ratings at Udemy

Navigate LLM Vulnerabilities: From Prompt Injection to Model Theft

• Udemy
• 1 hour 41 minutes
• Self-Paced
• Paid Course

GenAI Cybersecurity Solutions: OWASP Top 10 for LLM Apps

222 ratings at Udemy

Secure Generative AI Apps: Learn concepts and explore practical such as prompt injection, insecure output handling etc.

• Udemy
• 2 hours 8 minutes
• Self-Paced
• Paid Course

Open Compute Project

Challenges in Implementing AI/ML Training Job Recovery from GPU/Accelerator Data Poisoning Events

Explore the challenges of AI/ML training job interruptions due to GPU/Accelerator memory errors in large clusters, and learn about recovery techniques to reduce these interruptions using RAS technology.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

CompTIA SecAI+ Fundamentals: AI Cybersecurity Basics CY0-001

37 ratings at Udemy

500+ QAs MCQs:: exam prep covering AI security concepts, AI-specific threats, mitigations, and SecAI+ CY0-001 essentials

• Udemy
• 1 day 20 hours 32 minutes
• Self-Paced
• Paid Course

CompTIA SecAI+ CY0-001 Video Bootcamp

12 ratings at Udemy

Pass CompTIA SecAI+ (CY0-001) — Master AI Security, Threats, Governance & Real-World Defense Strategies

• Udemy
• 9 hours 24 minutes
• Self-Paced
• Paid Course

Krish Naik

What Is LLM Poisoning? Interesting Breakthrough

Discover how just 250 malicious documents can create backdoor vulnerabilities in large language models, regardless of their size or training data volume.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

RSA Conference

AI Security Engineering - Modeling - Detecting - Mitigating New Vulnerabilities

Explore AI security threats, including adversarial attacks and data poisoning. Learn detection, protection, and mitigation strategies for AI/ML systems from Microsoft experts.

• YouTube
• 54 minutes
• Self-Paced
• Conference Talk

DevSecCon

OWASP Top 10 Security Risks for Large Language Models

Explore OWASP Top 10 LLM security risks, learn mitigation strategies, and understand the impact of Generative AI on cybersecurity in various industries.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Cloud Security Alliance

Demystifying LLMs and Their Security Implications - A Business-Friendly Overview

Explore GenAI and LLMs, understanding their operations, security implications, and deployment scenarios. Learn to manage risks, prevent data leakage, and implement practical strategies for safe AI integration.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

NDC Conferences

Using GenAI on Your Code, What Could Possibly Go Wrong?

Explore the security risks of GenAI in code development, including vulnerabilities, developer trust issues, and strategies to address these emerging challenges in software security.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Discover AI

Security Breach with RAG: Demo with GPT-4.1

Discover how even advanced LLMs like GPT-4.1 struggle with logical inconsistencies in external data inputs during RAG processes, demonstrating security vulnerabilities that structured reasoning templates cannot fully address.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

NDC Conferences

Using GenAI on and Inside Your Code - What Could Possibly Go Wrong?

Explore the security risks of GenAI in software development, from vulnerable code generation to jailbreaks and data poisoning, with real-world academic insights.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Securing and Governing Autonomous AI Agents - Risks and Safeguards

Discover essential safeguards for autonomous AI agents, covering prompt injection attacks, data poisoning, AI bias, and governance strategies for secure, trustworthy systems.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

USENIX Enigma Conference

Trustworthy Machine Learning: Challenges and Frameworks

Exploring the security challenges in machine learning, this talk discusses strategies for building trustworthy AI systems by analyzing data influence, addressing vulnerabilities, and enhancing interpretability.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Security BSides San Francisco

Security Considerations for Services Using AI Models

Explore security risks in AI-powered services: AI SBOMs, supply chain attacks, input manipulation, and data poisoning. Learn crucial safeguards for robust AI implementation.

• YouTube
• 31 minutes
• Self-Paced
• Free Video