AI Security Certificate

Whether you’re looking to stay ahead of the curve with professional development or build your knowledge of AI strategies, this Building AI Strategy Certificate will elevate your expertise. It is comprised of six courses:

AI for Cybersecurity
Develop a foundational understanding of cybersecurity applications of AI by exploring the evolving implications of both traditional and AI-specific security approaches for AI attacks, mitigation and threat tools. 

AI Security: Managing Overconfidence
Discover effective integration of artificial intelligence into security operations while maintaining critical human oversight.

Aligning with Global AI Regulations
Review the complexities of aligning AI security frameworks with broader security principles, comparing specific security frameworks and standards related to AI and the principles that underpin secure AI practices.

Foundations of AI
Define and articulate a comprehensive definition of AI, become familiar with AI terminologies and technologies, and understand the applications and implementation impacts of AI.

Planning for Secure by Design AI
Develop a strategy-focused perspective on secure AI implementation and the complexities of integrating traditional cybersecurity principles with AI governance frameworks, ensuring robust security throughout the AI lifecycle.

The Evolving Cybersecurity Workforce
Explore leadership considerations and strategies for adapting to the growing influence of artificial intelligence on the cybersecurity workforce.

Complete all six courses and assessments to earn the Building AI Strategy Certificate Credly digital badge to display on social media and your resume/CV to demonstrate the skills you’ve acquired.

Key Topics

• Artificial intelligence and machine learning
• Threats and mitigation
• Program management
• Organizational alignment
• GRC

Learning Outcomes

• Recognize the types of AI attacks and describe basic AI mitigations strategies
• Identify and address AI blind spots and limitations 
• Identify weaknesses in AI security tools using a data-driven approach 
• Discover strategies to balance AI tools with human decision-making to build stronger security programs by combining AI and human expertise
• Understand how AI security frameworks align with broader security principles
• Compare specific security frameworks and standards related to AI
• Identify key principles and guidelines that underpin AI security
• Explore the implications of AI security principles on the development and deployment of AI systems
• Explain the impact of AI on cybersecurity jobs
• Describe the strategies for workforce adaptation and training
• Assess security considerations for employees using AI (LLMs) for work productivity
• Ensure compliance with privacy regulations in AI implementations
• Classify various AI terminologies, technologies and appropriate subtypes
• Correlate traditional cybersecurity principles with AI governance frameworks, focusing on compliance, risk management and security policies
• Identify the relevance of AI to various organizational roles, including business leadership, C-suite executives, senior management, operational personnel, developers, DevOps teams and security professionals
• Apply security principles and activities throughout the AI lifecycle, from data collection to deployment and continuous evaluation
• Determine your organization’s use of AI for enhancing security measures
• Integrate ethical considerations into AI practices, ensuring responsible and fair AI usage
• Evaluate your organization’s AI maturity level to understand current capabilities and areas for improvement

• Education Guarantee: Learners who don’t pass the exam on their first attempt may access the same training again at no cost within one year from the end of the initial training. The education guarantee covers the cost of the second course.

  

After purchase, you’ll receive an email containing your access key and activation instructions. Simply follow the provided steps to activate your product and start your learning journey.