- AI Certifications
AI+ Security Level 3™
This globally recognized AI Security Level 3™ Certification Course by AI CERTs® equips advanced security professionals with expert-level knowledge to architect, defend, and govern AI-driven security systems enabling them to confidently lead complex cybersecurity initiatives and protect intelligent infrastructures at scale.
AI+ Security Level 3™ Certification
Synergogy, the Authorized Training Partner (ATP) of AI Certs, brings you this globally recognized AI Security Level 3™ Certification Course by AI CERTs® equips advanced security professionals with expert-level knowledge to architect, defend, and govern AI-driven security systems enabling them to confidently lead complex cybersecurity initiatives and protect intelligent infrastructures at scale.
- Format: Self paced online course.
- Certificate: AI+ Security Level 3™ Certification by AI Certs®.
- Partner: Delivered by Synergogy as an ATP for AI Certs.
AI+ Security Level 3™ Certification
This course includes
- Online Self-Paced Learning
- Online Proctored Exam with 1 Free Retake
- Digital Badge
- High-Quality Videos, E-books, and Podcasts
- Access for Tablet & Phone
- Capstone Projects
- Case Studies
- Quizzes & Assessments
- AI Mentor for Personalized Guidance
Why This Certification Matters
- IoT Security Using AI
Understanding how to protect IoT devices with AI-driven solutions to prevent vulnerabilities. - Deep Learning for Threat Detection
Expertise in leveraging deep learning algorithms for advanced threat analysis and response. - AI-Driven Network Security
Ability to implement AI tools for securing network infrastructures and preventing cyber-attacks. - Endpoint Protection with AI
Competence in using AI technologies to enhance endpoint security and protect devices from attacks.
Cybersecurity Professionals: Enhance expertise in compliance management, risk governance, and advanced security operations using AI-driven approaches.
Risk Management Specialists: Improve risk assessment, threat modeling, and mitigation strategies by applying AI-driven analytics and predictive security techniques.
Compliance Officers: Leverage AI to strengthen regulatory compliance processes, automate monitoring, and ensure adherence to evolving legal and industry standards.
IT Security Analysts: Integrate AI technologies into security operations, incident response, and monitoring frameworks to improve detection and response capabilities.
Ethical Hackers and Penetration Testers: Explore AI-based techniques for vulnerability discovery, adversarial attack simulation, and advanced system stress testing.
Tech-Savvy Leaders: IT managers, security architects, and technology leaders seeking to future-proof organizations with AI-enabled security, governance, and compliance strategies.
Aspiring AI Security Experts: Learners with foundational knowledge in AI and cybersecurity who want to master AI-powered solutions for emerging threats and advanced security challenges.
- Splunk User Behavior Analytics (UBA)
- Microsoft Defender for Endpoint
- Microsoft Azure AD Conditional Access
- Adversarial Robustness Toolbox (ART)
- Completion of AI+ Security Level 1™ and 2™
- Intermediate/Advanced Python Programming: Proficiency or expert in Python, including deep learning frameworks (TensorFlow, PyTorch).
- Intermediate Machine Learning Knowledge: Proficiency in understanding of deep learning, adversarial AI, and model training.
- Advanced Cybersecurity Knowledge: Proficiency in threat detection, incident response, and network/endpoint security.
- AI in Security Engineering: Knowledge of AI’s role in identity and access management (IAM), IoT security, and physical security.
- Cloud and Container Expertise: Understanding of cloud security, containerization, and blockchain technologies.
- Linux/CLI Mastery: Advanced command-line skills and experience with security tools in Linux environments
Total Modules: 12
Examination: 1 Certification Exam
Question Format: 50 Multiple-Choice Questions (MCQs)
Exam Duration: 90 Minutes
Passing Score: 70% (35 out of 50)
Recertification Requirements
AI CERTs requires recertification every year to keep your certification valid. Notifications will be sent three months before the due date, and candidates must follow the steps in the candidate handbook to complete the process.
Need Help? If you have any questions or need assistance with recertification, please reach out to our support team at support@aicerts.ai
What You'll Learn
1: Foundations of AI and Machine Learning for Security Engineering
Core AI and machine learning concepts for security applications
Key AI use cases in modern cybersecurity
2: Machine Learning for Threat Detection and Response
Feature engineering for cybersecurity datasets
Supervised learning for threat classification
Unsupervised learning for anomaly detection
Designing real-time ML-driven threat detection systems
Challenges in applying AI to security environments
3: Deep Learning for Security Applications
Convolutional Neural Networks (CNNs) for threat detection
Recurrent Neural Networks (RNNs) and LSTMs for behavioral analysis
Autoencoders for anomaly detection
Adversarial deep learning techniques in cybersecurity
4: Adversarial AI and Model Resilience
Introduction to adversarial AI attacks
Defense mechanisms against adversarial manipulation
Adversarial testing and AI red-teaming
Engineering robust and resilient AI security models
5: AI-Powered Network and Endpoint Security
AI-driven intrusion detection systems (IDS)
DDoS detection using machine learning
AI-based network anomaly detection
Endpoint Detection and Response (EDR) with AI
AI-driven threat hunting techniques
6: Secure AI System Engineering
Designing secure AI architectures
Cryptography in AI-based security systems
Model explainability and transparency in security use cases
Performance optimization of AI security systems
7: AI for Cloud, Container, and DevSecOps Security
AI for securing cloud environments
AI-driven container and Kubernetes security
Securing serverless architectures with AI
Integrating AI into DevSecOps pipelines
8: AI and Blockchain for Security
Fundamentals of AI and blockchain integration
AI-driven fraud detection in blockchain systems
Securing smart contracts using AI
AI-enhanced consensus mechanisms
Bring our
AI+ Foundation™ Course in-house
Interested in getting your team started with the AI Foundation Course, fully customised for your team?
FAQs - AI+ Security Level 3™
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1. What is the AI+ Security Level 3™ Certification?
The AI+ Security Level 3™ Certification by AI CERTs® is an advanced, expert-level program designed to prepare professionals to architect, defend, and govern AI-driven security systems across complex enterprise and cloud environments.
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2. Who should enroll in the AI+ Security Level 3™ course?
This certification is ideal for senior cybersecurity professionals, AI security architects, cloud and DevSecOps engineers, risk and compliance leaders, ethical hackers, penetration testers, and technology leaders responsible for advanced security strategy and governance.
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3. What advanced skills will I gain from AI+ Security Level 3™?
Learners gain expert-level skills in adversarial AI defense, deep learning–based threat detection, AI-powered network and endpoint security, cloud and container security, identity and access management (IAM), IoT and physical security, and secure AI system engineering.
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4. Are there prerequisites for enrolling in AI+ Security Level 3™?
Yes. This is an advanced certification. Prior experience in cybersecurity, AI/ML concepts, or completion of AI Security Level 1™ and Level 2™ is strongly recommended to successfully engage with the course’s technical depth and architectural focus.
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5. How does the AI+ Security Level 3™ Certification support career advancement?
The certification validates elite expertise in AI-powered cybersecurity, positioning professionals for senior roles such as AI Security Architect, CISO advisor, Security Engineering Lead, Cloud Security Architect, and advanced cyber defense strategist across global organizations.
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