AT-2102
AI+ Security Expert™
Protect and Secure: Leverage Intelligent AI Solutions
At a glance
What is included
Duration
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 40 hours of content
Recommended background
Examination
About this certification
This certification validates intermediate-level knowledge of AI-driven cybersecurity concepts and assesses competency in applying security controls, risk management practices, and AI-enabled threat detection techniques. The exam evaluates understanding of advanced security principles within AI-augmented environments.
Curriculum
Module 1: Introduction to AI and Cybersecurity +
- You will learn AI and cybersecurity fundamentals, AI-driven threat detection, vulnerability management, ethical considerations, regulatory requirements, and resilient security strategies.
Module 2: Python Programming for AI and Cybersecurity Professionals +
- You will learn Python programming for security automation, data analysis, AI scripting, visualization, and developing cybersecurity tools.
Module 3: Applications of Machine Learning in Cybersecurity +
- You will explore ML-based anomaly detection, behavior analysis, predictive threat identification, data protection, and advanced cybersecurity applications.
Module 4: Detection of Email Threats with AI +
- You will learn AI-powered email security, phishing detection, deep learning models, automation techniques, and email threat response solutions.
Module 5: AI Algorithm for Malware Threat Detection +
- You will learn AI-based malware detection, neural networks, model development, real-time mitigation, and malware analysis techniques.
Module 6: AI Infrastructure and Deployment+
- You will explore AI-based network anomaly detection, model implementation, deployment strategies, and challenges in handling advanced threats.
Module 7: User Authentication Security with AI+
- You will learn AI-driven authentication, biometric recognition, behavioral analysis, adaptive security controls, and emerging authentication trends.
Module 8: GAN for Cyber Security +
- You will explore GAN applications in cybersecurity, including threat simulation, synthetic attack generation, vulnerability detection, and defense improvement.
Module 9: Penetration Testing with Artificial Intelligence +
- You will learn AI-enhanced penetration testing, cyberattack simulation, automated vulnerability identification, and improved security assessment techniques.
Module 10: Capstone Project +
- You will apply AI cybersecurity concepts through real-world projects involving anomaly detection, email security, IoT protection, behavioral biometrics, and threat intelligence.
Who should enrol
Cybersecurity Professionals: Professionals who want to stay updated on the latest AI-driven security tools, technologies, and techniques to strengthen cybersecurity practices.
IT Professionals and System Administrators: Those who want to use AI capabilities to detect, analyze, and respond to security threats more effectively and efficiently.
Cloud Architects and Engineers: Professionals who want to integrate AI-powered security solutions into cloud architectures and enhance the protection of cloud environments.
Risk Management Specialists: Those who want to apply AI-driven approaches to identify, assess, and mitigate cybersecurity risks.
Business Leaders and Decision Makers: Professionals who want to understand the role of AI in cybersecurity and make informed decisions about security investments and strategies.
Software Developers: Developers who want to understand AI integration in security tools, applications, and secure software development practices.
Security Consultants and Advisors: Professionals who want to gain advanced knowledge of AI technologies to provide strategic cybersecurity guidance and recommendations.
Related certifications
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