Data Poisoning Courses and Certifications

Ekoparty Security Conference

Poison in the Wires - Interactive Network Visualization of Data Poisoning Attacks

Explore data poisoning attacks through interactive network visualization using GraphLeak, an open-source tool that reveals how adversarial data manipulation impacts ML models.

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

media.ccc.de

LLMs, das Firmen-Wiki und Data Poisoning - FSCK 2025

Entdecke, wie LLMs mit Unternehmensdaten verbunden werden können, welche Sicherheitsrisiken entstehen und wie Data Poisoning gezielt Ergebnisse manipulieren kann.

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

BSidesLV

Poison in the Wires - Interactive Network Visualization of Data Attacks

Discover GraphLeak, an open-source tool for visualizing data poisoning attacks through interactive network graphs, revealing how adversarial manipulation alters datasets in real time.

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

Simons Institute

Learning Under Data Poisoning

Explore data poisoning's impact on machine learning, its detection methods, and strategies for building robust models against adversarial attacks in this informative talk.

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

Generative AI - Risk and Cyber Security Masterclass 2026

8908 ratings at Udemy

Learn the cyber security risks around Generative AI and how to mitigate them

• Udemy
• 3 hours 13 minutes
• Self-Paced
• Paid Course

Generative AI Risks & Cybersecurity: LLM Security

1830 ratings at Udemy

Data Poisoning, Model Bias, Prompt Injection, AI Ethics & Governance | Protect AI Systems from Cyber Threats

• Udemy
• 5 hours 48 minutes
• Self-Paced
• Paid Course

Credential

Cyber Security: DevOps

27 ratings at Coursera

Master cryptographic principles, DevSecOps practices, and AI security to design and protect next-generation systems through hands-on learning from Australia's top cyber security school.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Secure AI Systems Across Lifecycle Stages

Discover specialized skills to defend AI systems from sophisticated threats like data poisoning and adversarial attacks throughout the entire MLOps lifecycle using hands-on labs.

• Coursera
• 3 hours 19 minutes
• Self-Paced
• Paid Course

Edureka

Securing AI Systems

Discover how to protect machine learning applications from adversarial attacks, data poisoning, and model theft through hands-on labs and defense strategies.

• Coursera
• 9 hours 53 minutes
• Self-Paced
• Paid Course

Coursera

Secure AI: Threat Model & Test Endpoints

Master AI security by identifying threats like prompt injection and data poisoning, designing comprehensive threat models, and implementing automated security testing in CI/CD pipelines.

• Coursera
• 4 hours 5 minutes
• Self-Paced
• Paid Course

Practical Cybersecurity Fundamentals: Unit 5

Discover AI security fundamentals, threats like data poisoning and model inversion attacks, and secure development principles using the MITRE ATLAS framework for ethical AI protection.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Unlock proactive AI security by mastering adversarial training, input sanitization, and differential privacy to build resilient models from the ground up.

• Coursera
• 4 hours 52 minutes
• Self-Paced
• Paid Course

Packt

AI Security Fundamentals – LLM Threats & OWASP 2026

Master LLM security by exploring OWASP 2026 vulnerabilities—prompt injection, data poisoning, and more—while gaining practical strategies to secure AI applications and defend against emerging threats.

• Coursera
• 10 hours
• Self-Paced
• Paid Course

Ethical Hacking against and with AI/LLM/ML (Lite Version!)

750 ratings at Udemy

Become professional in AI and LLM Penetration Testing and Vulnerability Discovery (Lite Version!)

• Udemy
• 4 hours 48 minutes
• Self-Paced
• Paid Course

Securing GenAI Systems

647 ratings at Udemy

GEN AI TOP 10 OWSAP : Protect GenAI Apps: Secure Every Step from Data to Inference with Real-World Tools

• Udemy
• 5 hours
• Self-Paced
• Paid Course