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AI+ Security Expert™

# AT-2102

Formerly known as AI+ Security Level 2™

Protect and Secure: Leverage Intelligent AI Solutions

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.

$495.00

High-Quality Video, E-book & Audiobook

Modules Quizzes

AI Mentor

Access for Tablet & Phone

Online Proctored Exam with One Free Retake

Hands-on Practices

Prerequisites

Interest in AI Technologies: Interest in learning about AI technologies such as ML, DL, and NLP.
Tech Comfort: Basic knowledge about the fundamentals of computer science.
Learning Mindset: Curiosity and openness to learn about new concepts and technologies.
Ethical Awareness: Willingness to explore ethical considerations and legal frameworks surrounding the use of AI and data privacy.

Exam Details

Exam Blueprint

Modules	Percentage
Introduction to Artificial Intelligence (AI) and Cyber Security	8
Python Programming for AI and Cybersecurity Professionals – 10%	10
Application of Machine Learning in Cybersecurity	10
Detection of Email Threats with Artificial Intelligence (AI)	11
Artificial Intelligence (AI) Algorithm for Malware Threat Detection	11
Network Anomaly Detection using Artificial Intelligence (AI) Techniques	11
User Authentication Security with Artificial Intelligence (AI)	11
Generative Adversarial Network (GAN) for Cyber Security	11
Penetration Testing with Artificial Intelligence	11
Capstone Project	6

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Hands-on

Practical experience through real-world exercises, case studies, and applied learning.

Tools You'll Master

CrowdStrike Falcon

Darktrace Enterprise

Vectra Cognito

SentinelOne Singularity

Cylance PROTECT

IBM QRadar Advisor with Watson

Exabeam Advanced Analytics

Rapid7 InsightIDR

Cynet 360

Fortinet FortiAI

What Will You Learn?

AI-Driven Threat Detection

Learn to utilize AI algorithms for identifying and addressing cybersecurity threats, including phishing attacks, malware, and network anomalies.

Advanced User Authentication Methods

Implement cutting-edge AI techniques for user authentication to improve identity verification and prevent fraudulent access.

Application of Machine Learning in Cybersecurity

Employ machine learning techniques to analyze data, predict cyber threats, and respond to them with precision.

AI-Enhanced Penetration Testing

Master AI-driven tools to enhance penetration testing processes, identifying vulnerabilities more efficiently than traditional methods.

Certification Modules

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.

Earn a Shareable Certification Credential

Add to LinkedIn under "Licenses & Certifications"

Showcase your expertise to potential employers and professional connections.

Download a Verified Certificate - Blockchain

Your certificate is secured on the blockchain for tamper-proof authenticity and can be downloaded as a high-quality PDF for personal records or professional sharing.

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Celebrate your accomplishment with your network on all social platforms.

Industry Opportunities after Certification Completion

Median Salaries

Unknown

With AI+ Security Expert™

Unknown

% Difference

Unknown

Threat Intelligence Specialist

Analyzes AI-driven security data to predict and mitigate cyber threats, enhancing organizational resilience.

Security Specialist

Develops and applies advanced AI protocols to secure infrastructures, ensuring compliance with global standards.

Cybersecurity Analyst

Monitors and mitigates AI-powered security breaches, devising innovative defenses for organizational safety.

Data Security Engineer

Protects sensitive data using AI algorithms for encryption and secure storage, ensuring effective access controls.

Trusted Reviews by Our Learners

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Learner Success Stories

Frequently Asked Questions

What is covered in the AI+ Security Expert™ curriculum?

The curriculum covers AI fundamentals, Python programming, machine learning, malware detection, network security, and AI-based threat analysis.

What tools are introduced in the certification?

Learners explore tools such as CrowdStrike Falcon, Darktrace Enterprise, SentinelOne Singularity, IBM QRadar Advisor with Watson, and Fortinet FortiAI.

What does the learner receive after completing the certification?

Learners receive an industry-recognized credential along with hands-on experience through projects and case studies.

What knowledge is recommended before starting this certification?

Learners should have basic computer science knowledge, interest in AI technologies, and awareness of AI ethics and data privacy.

Which professionals can benefit from this certification?

The certification is suitable for learners interested in AI technologies, cybersecurity, threat detection, and security automation.