Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to Secure and Ethical AI
- Overview of AI security and ethics
- Common threats and vulnerabilities in AI systems
- Regulatory landscape and compliance frameworks
Security Threats Facing AI Agents
- Data poisoning and model manipulation
- Adversarial attacks on AI models
- Strategies to mitigate AI security threats
Developing Robust and Secure AI Models
- Secure AI development lifecycle
- Defensive machine learning techniques
- Validation and testing of AI models
Ethical AI Development and Fairness
- Detecting and mitigating bias in AI models
- Explainability and transparency in AI decision-making
- Ensuring responsible deployment of AI
AI Governance, Compliance, and Risk Management
- Compliance with GDPR, CCPA, and the AI Act
- Risk management frameworks for AI security
- Auditing AI models for security and ethical issues
Best Practices for Secure AI Deployment
- Deploying AI agents with a focus on security
- Monitoring AI models for anomalies and vulnerabilities
- Incident response and mitigation in AI security
Case Studies and Real-World Applications
- Analysis of AI security breaches and key lessons
- Implementing secure AI agents in practical scenarios
- Best practices for future-proofing AI security
Summary and Next Steps
Requirements
- Familiarity with AI and machine learning concepts
- Proficiency in Python and AI frameworks
- Fundamental understanding of cybersecurity principles
Target Audience
- AI developers
- Security specialists
- Compliance officers
