Develop Your AI Skills as a Cybersecurity Professional
Offered By: LinkedIn Learning
Course Description
Overview
Become an AI security expert in the evolving field of cybersecurity. This learning path provides insights into leveraging AI for complex problems, building resilient systems, integrating AI into GRC, and securing generative AI. Develop skills to navigate the convergence of AI and cybersecurity, mitigate risks, and fortify digital resilience.
- Identify and mitigate AI-associated cybersecurity risks.
- Implement resilient AI systems and secure generative AI.
- Add AI into governance, risk, and compliance processes.
Syllabus
Courses under this program:
Course 1: Artificial Intelligence for Cybersecurity
-Learn how you can use AI—with appropriate preparation and guardrails—to address complex problems in cybersecurity.
Course 2: AI in Cybersecurity: The Future of Red Teaming and Blue Teaming
-Learn how to leverage AI to enhance the effectiveness of an organization's cybersecurity posture.
Course 3: Security Risks in AI and Machine Learning: Categorizing Attacks and Failure Modes
-Learn how and why machine learning and artificial intelligence technology fails and understand ways to make these systems more secure and resilient.
Course 4: Leveraging AI for Security Testing
-Learn how to leverage AI in your testing efforts to significantly improve your cybersecurity defenses.
Course 5: Introduction to MLSecOps
-Learn how to build security into your machine learning and AI lifecycles with MLSecOps.
Course 6: Leveraging AI for Governance, Risk, and Compliance
-Learn how you can integrate artificial intelligence tools into your GRP environment.
Course 7: Securing the Use of Generative AI in Your Organization
-Learn about securing generative AI to unleash its potential while fortifying your organization against emerging cybersecurity threats.
Course 1: Artificial Intelligence for Cybersecurity
-Learn how you can use AI—with appropriate preparation and guardrails—to address complex problems in cybersecurity.
Course 2: AI in Cybersecurity: The Future of Red Teaming and Blue Teaming
-Learn how to leverage AI to enhance the effectiveness of an organization's cybersecurity posture.
Course 3: Security Risks in AI and Machine Learning: Categorizing Attacks and Failure Modes
-Learn how and why machine learning and artificial intelligence technology fails and understand ways to make these systems more secure and resilient.
Course 4: Leveraging AI for Security Testing
-Learn how to leverage AI in your testing efforts to significantly improve your cybersecurity defenses.
Course 5: Introduction to MLSecOps
-Learn how to build security into your machine learning and AI lifecycles with MLSecOps.
Course 6: Leveraging AI for Governance, Risk, and Compliance
-Learn how you can integrate artificial intelligence tools into your GRP environment.
Course 7: Securing the Use of Generative AI in Your Organization
-Learn about securing generative AI to unleash its potential while fortifying your organization against emerging cybersecurity threats.
Courses
-
Learn how you can use AI—with appropriate preparation and guardrails—to address complex problems in cybersecurity.
-
Learn how and why machine learning and artificial intelligence technology fails and understand ways to make these systems more secure and resilient.
-
Learn about securing generative AI to unleash its potential while fortifying your organization against emerging cybersecurity threats.
-
Learn how you can integrate artificial intelligence tools into your GRP environment.
-
Learn how to leverage AI to enhance the effectiveness of an organization's cybersecurity posture.
-
Learn how to leverage AI in your testing efforts to significantly improve your cybersecurity defenses.
-
Learn how to build security into your machine learning and AI lifecycles with MLSecOps.
Taught by
Sam Sehgal, Michael Wylie, MBA, CISSP, Diana Kelley, Jerod Brennen, Terra Cooke and Jerich Beason
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