Edureka
AI Security Specialization
Edureka

AI Security Specialization

Build Secure AI Systems. Learn to secure AI models, mitigate risks, and apply safe AI practices across real-world systems.

Edureka

Instructor: Edureka

Included with Coursera Plus

Get in-depth knowledge of a subject
Beginner level

Recommended experience

8 weeks to complete
at 5 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

8 weeks to complete
at 5 hours a week
Flexible schedule
Learn at your own pace

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Edureka

Specialization - 3 course series

What you'll learn

  • Describe core concepts of AI, Generative AI, and LLMs within modern cybersecurity.

  • Explain security implications and key risks of using Generative AI and LLMs in enterprises.

  • Apply prompt engineering and secure techniques to reduce prompt injection and adversarial threats.

  • Evaluate AI architectures and enforce best practices to protect models, data pipelines, and defenses.

Skills you'll gain

Category: Distributed Denial-Of-Service (DDoS) Attacks
Category: Threat Modeling
Category: Responsible AI
Category: Cyber Security Strategy
Category: Data Ethics
Category: Threat Detection
Category: Large Language Modeling
Category: Security Engineering
Category: IT Security Architecture
Category: Cloud Security
Category: Information Systems Security
Category: Security Awareness
Category: Artificial Intelligence
Category: Security Management
Category: Incident Response
Category: Vulnerability Assessments
Category: Cyber Attacks
Category: Security Strategy
Category: Enterprise Security
Category: Cybersecurity

What you'll learn

  • Identify key vulnerabilities and attack vectors in Generative and Agentic AI systems.

  • Apply strategies to secure AI training data, pipelines, and supply chains from risks.

  • Analyze LLM-specific threats and implement guardrails, safety, and ethical practices.

  • Evaluate ethical and regulatory compliance requirements for AI systems.

Skills you'll gain

Category: Governance Risk Management and Compliance
Category: Google Gemini
Category: Artificial Intelligence
Category: Cyber Security Policies
Category: Cyber Security Strategy
Category: Cyber Attacks
Category: Computer Security Awareness Training
Category: Security Strategy
Category: Supply Chain
Category: Risk Management
Category: Network Security
Category: Data Ethics
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Generative AI
Category: LLM Application
Category: Responsible AI
Category: Security Management
Category: Natural Language Processing
Category: Threat Modeling
Category: Cloud Security
Securing AI Systems

Securing AI Systems

Course 39 hours

What you'll learn

  • Identify AI security concepts, attack types, and mitigation strategies.

  • Implement defenses, red-team simulations, and SOC/cloud/hardware security measures.

  • Evaluate weaknesses, assess defense effectiveness, and review incident response.

  • Design end-to-end secure AI systems and integrated security workflows.

Skills you'll gain

Category: Identity and Access Management
Category: Security Strategy
Category: Threat Detection
Category: Artificial Intelligence
Category: Information Systems Security
Category: Security Controls
Category: MLOps (Machine Learning Operations)
Category: Responsible AI
Category: Hardening
Category: Security Engineering
Category: Machine Learning
Category: Incident Response
Category: Cybersecurity
Category: Cloud Security
Category: Application Security
Category: Vulnerability Assessments
Category: Continuous Monitoring
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Threat Modeling
Category: Penetration Testing

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Instructor

Edureka
Edureka
96 Courses101,584 learners

Offered by

Edureka

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