AI for Cybersecurity Series

You know how to secure systems. Now build the specific skills your role demands in AI for cybersecurity: securing AI systems against prompt injection and adversarial attacks, governing AI risk, and using AI copilots in your SOC.

Microsoft
IBM
Johns Hopkins University

With content from Microsoft, IBM, Johns Hopkins University,

Top AI Program

Included with Coursera PlusLearn more

AI Series
17 courses on applying AI to cybersecurity
from 482 reviews of courses in this Series
Build AI experience
13+ in-demand AI skills
Practice industry tools
Microsoft Copilot for Security, ChatGPT
Learn at your own pace
Courses from 1 to 7 hours
AI Series
17 courses on applying AI to cybersecurity
from 482 reviews of courses in this Series
Build AI experience
13+ in-demand AI skills
Practice industry tools
Microsoft Copilot for Security, ChatGPT
Learn at your own pace
Courses from 1 to 7 hours

What you’ll learn

  • Govern AI risk using frameworks like NIST's AI Risk Management Framework, evaluating and documenting risk before AI security tools and systems go into production.

  • Red-team and secure AI and LLM applications against AI cybersecurity threats like prompt injection, jailbreaking, and adversarial attacks, using the OWASP LLM Top 10 as your guide.

  • Leverage AI-powered tools like Microsoft Copilot for Security to speed up SOC operations, threat detection, and incident response.

With course certificates from

IBM
Google Cloud
Johns Hopkins University
Microsoft
Vanderbilt University
University of Illinois Urbana-Champaign
Macquarie University
University of Colorado Boulder
Pragmatic AI Labs
Coursera

Learning plan

5 hours

10 hours

2 weeks

10 hours

By the end of this plan, you'll be ready to achieve the goals you set.

You'll also earn 17 course certificates to add to your LinkedIn profile or resume — proof of your new skills.

Frequently asked questions