Cybersecurity
AI Security and Responsible AI Practices
Ethical Development and Responsible Deployment of AI and ML Systems.
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Included with Skilldacity Membership

About This Course
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Ethical Development and Responsible Deployment of AI and ML Systems. Artificial Intelligence (AI) and Machine Learning (ML) are transforming the way we live, work, and interact with technology. With these advances, however, come significant risks: adversarial attacks, data misuse, privacy violations, and ethical concerns that can undermine trust and security.
This course equips learners with the knowledge and skills to design, build, and deploy AI and ML systems that are secure, responsible, and aligned with evolving privacy, legal, and ethical standards. You will explore the cutting edge of AI/ML security, gain practical knowledge to defend against AI-powered threats, and learn how to integrate ethical and privacy-first design into real-world applications.
What You’ll Learn
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- Explain the security concepts, threats, and controls addressed in the course
- Identify vulnerabilities and assess risk in relevant environments
- Configure or apply defensive and investigative techniques
- Analyze security events and communicate actionable findings
- Use the covered practices in realistic security scenarios
Skills You’ll Gain
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Artificial Intelligence
Machine Learning

Career Path
Cybersecurity

Provider
Skilldacity

Level
Intermediate

Certification
No certification associated

Access
Included with eligible Skilldacity subscription

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