Introduction to AI Security

Your first stop in AI security. Nine short sessions that build a security mindset for AI: what could go wrong, how someone would attack it, and what it can reach.
No AI or security background required.
Curriculum
Nine sessions plus a final quiz. About 80 minutes of video, self-paced.
What is AI Security?
See an AI system as a lifecycle: what goes in, what makes decisions, and what it can touch. 8 min.
Data Poisoning & Training Data Risks
How bad data gets into training sets and retrieval stores, and how to prove which data changed your model. 7 min.
Adversarial Attacks
Inputs crafted to fool a model without touching it, and why the fix is a safety net around the model. 6 min.
Prompt Injection & LLM Security
Why hidden text in a web page or email can steer a model that can act, and the design fixes that hold. 10 min.
Model Extraction & IP Protection
How a model gets cloned through its own answers, and what probing looks like in your logs. 8 min.
Privacy Risks
Three ways personal data leaks from AI systems, and why privacy has to be designed in from day one. 9 min.
AI Supply Chain Security
Outside models, datasets, and plugins extend your trust boundary. Inventory them, and plan the rollback. 9 min.
Securing AI in Production
Launch is the start of the job. Identity, runtime control, and the evidence you need in the first fifteen minutes. 9 min.
Governance, Compliance and Responsible AI
The five questions every governance program must answer, and how NIST, ISO 42001, OWASP, and the EU AI Act map to them. 9 min.
Earn a certificate

Finish the course and earn a verifiable certificate — issued by AI Security University with its own public verification page, and shareable straight to your LinkedIn profile.
- Public verification page
- Counts toward 2 CPE credits
- Open Badge compatible
- Add to LinkedIn
To earn it: Complete all nine course modules and score 80% or higher on the end-of-course assessment.
See a sample credentialYour instructor

Hemanth Tadepalli
Hemanth is the Cybersecurity Compliance Expert at May Mobility, where he works on autonomous vehicle technology. His career spans management consulting at AlixPartners, cybersecurity at Mandiant and Google, and leading security at the Michigan-based startup SensCy. He also serves on the Michigan Secretary of State’s advisory task force on election security.
Build the security mindset for AI
Free and self-paced. Enroll and start whenever you’re ready.
