Certified GenAI and LLM Cybersecurity Professional for Data Scientists (CGLCP-DS) Certification Course by Tonex
The Certified GenAI and LLM Cybersecurity Professional for Data Scientists (CGLCP-DS) certification targets data scientists aiming to incorporate robust security measures into their AI projects. This program emphasizes data security and privacy, secure model development, and techniques to counter adversarial attacks. Additionally, it addresses ethical considerations and bias mitigation, ensuring the safe and ethical deployment of AI models.
Learning Objectives:
- Grasp the principles of Generative AI and Large Language Models.
- Implement data security and privacy best practices in AI projects.
- Integrate secure model development processes in data science workflows.
- Identify and mitigate adversarial attacks on AI models.
- Address ethical considerations and mitigate bias in AI systems.
- Deploy and monitor AI models securely.
Exam Objectives:
- Validate understanding of data security and privacy in AI.
- Test the ability to develop secure AI models.
- Assess knowledge of adversarial machine learning and bias mitigation.
- Measure skills in secure deployment and monitoring of AI models.
Exam Domains:
- Foundations of GenAI and LLMs (15%)
- Data Security and Privacy in AI (20%)
- Secure AI Model Development (20%)
- Adversarial Machine Learning (15%)
- Ethical Considerations and Bias Mitigation (10%)
- Secure Deployment and Monitoring of AI Models (20%)
Type of Questions:
- Multiple-choice questions
- Scenario-based questions
- Case studies
- Practical tasks (e.g., implementing secure model development practices)