AI+ Security Level 3™

The AI+ Security Level 3™ course provides a comprehensive exploration of the intersection between AI and cybersecurity, focusing on advanced topics critical to modern security engineering. It covers foundational concepts in AI and machine learning for security, delving into areas like threat detection, response mechanisms, and the use of deep learning for security applications. The course addresses the challenges of adversarial AI, network and endpoint security, and secure AI system engineering, along with emerging topics such as AI for cloud, container security, and blockchain integration. Key subjects also include AI in identity and access management (IAM), IoT security, and physical security systems, culminating in a hands-on capstone project that tasks learners with designing and engineering AI-driven security solutions.

¡Reserva ya!

    Incluye:

    Candidatos ideales para este curso:

    Identity and Access Management (IAM) Engineer:. Develop Al-powered IAM solutions to improve access control, and identity verification processes for large-scale organizations.
    Security Consultant for Al-Driven Solutions:. Advise on implementing AI-driven security technologies, offering best practices and system integration for optimal protection.
    IoT Security Specialist:. Use Al to protect IoT devices and networks, ensuring the security of interconnected systems in industries like healthcare, manufacturing, and smart cities.
    Cloud Security Architect:. Leverage Al to enhance cloud security, focusing on areas like container security, threat detection, and incident response in cloud environments.

    • 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
    • There are no mandatory prerequisites for certification. Certification is based solely on performance in the examination. However, candidates may choose to prepare through self-study or optional training offered by AI CERTS Authorized Training Partners (ATPs).

    Module 1: Foundations of AI and Machine Learning for Security Engineering .

    1. 1.1 Core AI and ML Concepts for Security 
    2. 1.2 AI Use Cases in Cybersecurity 
    3. 1.3 Engineering AI Pipelines for Security 
    4. 1.4 Challenges in Applying AI to Security 

    Module 2: Machine Learning for Threat Detection and Response.

    1. 2.1 Engineering Feature Extraction for Cybersecurity Datasets
    2. 2.2 Supervised Learning for Threat Classification
    3. 2.3 Unsupervised Learning for Anomaly Detection
    4. 2.4 Engineering Real-Time Threat Detection Systems

    Module 3: Deep Learning for Security Applications.

    1. 3.1 Convolutional Neural Networks (CNNs) for Threat Detection
    2. 3.2 Recurrent Neural Networks (RNNs) and LSTMs for Security
    3. 3.3 Autoencoders for Anomaly Detection
    4. 3.4 Adversarial Deep Learning in Security

    Module 4: Adversarial AI in Security.

    1. 4.1 Introduction to Adversarial AI Attacks
    2. 4.2 Defense Mechanisms Against Adversarial Attacks
    3. 4.3 Adversarial Testing and Red Teaming for AI Systems
    4. 4.4 Engineering Robust AI Systems Against Adversarial AI

    Module 5: AI in Network Security.

    1. 5.1 AI-Powered Intrusion Detection Systems
    2. 5.2 AI for Distributed Denial of Service (DDoS) Detection
    3. 5.3 AI-Based Network Anomaly Detection
    4. 5.4 Engineering Secure Network Architectures with AI

    Module 6: AI in Endpoint Security.

    1. 6.1 AI for Malware Detection and Classification
    2. 6.2 AI for Endpoint Detection and Response (EDR)
    3. 6.3 AI-Driven Threat Hunting
    4. 6.4 Implementing Lightweight AI Models for Resource-Constrained Devices

    Module 7: Secure AI System Engineering.

    1. 7.1 Designing Secure AI Architectures
    2. 7.2 Cryptography in AI for Security
    3. 7.3 Ensuring Model Explainability and Transparency in Security
    4. 7.4 Performance Optimization of AI Security Systems

    Module 8: AI for Cloud and Container Security.

    1. 8.1 AI for Securing Cloud Environments
    2. 8.2 AI-Driven Container Security
    3. 8.3 AI for Securing Serverless Architectures
    4. 8.4 AI and DevSecOps

    Module 9: AI and Blockchain for Security.

    1. 9.1 Fundamentals of Blockchain and AI Integration
    2. 9.2 AI for Fraud Detection in Blockchain
    3. 9.3 Smart Contracts and AI Security
    4. 9.4 AI-Enhanced Consensus Algorithms

    Module 10: AI in Identity and Access Management (IAM).

    1. 10.1 AI for User Behavior Analytics in IAM
    2. 10.2 AI for Multi-Factor Authentication (MFA)
    3. 10.3 AI for Zero-Trust Architecture
    4. 10.4 AI for Role-Based Access Control (RBAC)

    Module 11: AI for Physical and IoT Security.

    1. 11.1 AI for Securing Smart Cities
    2. 11.2 AI for Industrial IoT Security
    3. 11.3 AI for Autonomous Vehicle Security
    4. 11.4 AI for Securing Smart Homes and Consumer IoT

    Module 12: Capstone Project – Engineering AI Security Systems.

    1. 12.1 Defining the Capstone Project Problem
    2. 12.2 Engineering the AI Solution
    3. 12.3 Deploying and Monitoring the AI System
    4. 12.4 Final Capstone Presentation and Evaluation

    Optional Module: AI Agents for Security level 3.

    1. 1. Understanding AI Agents
    2. 2. Case Studies
    3. 3. Hands-On Practice with AI Agents

     

    Otros cursos que podrían interesarte

    Pearson VUE Authorized Test Center- The global leader in computer-based testing. 

    FlexTech es centro examinador autorizado de Pearson Vue
    Reserva tus examenes de cetificaciones con nosotros!

    • Horario del centro: De Martes a Jueves