Cours complet et examen pratique de la Fondation de sécurité AI AKYLADE

Aperçu

Pass the AKYLADE AI Security Foundation (AIF-001) exam on your 1st attempt, includes a practice exam! What you'll learn:

Cybersecurity professionals entering the AI domainRisk management practitioners in organizations using AICompliance and legal officers responsible for AI governanceAI engineers and developers seeking security and trust alignmentIT auditors, analysts, and consultants specializing in emerging technologiesProfessionals preparing for the AISF certification exam (AIF-001) The AI Security Foundation (AISF) Certification Course is designed to introduce professionals to the foundational principles of AI security and governance.

This course emphasizes critical areas such as AI risk management, trustworthy AI system characteristics, and how to apply the NIST AI Risk Management Framework (RMF). Learners will gain the knowledge necessary to understand and manage the security risks of AI systems across their entire lifecycle.Domain DiscussionThe AISF exam content is divided into five domains, each representing a key focus area in AI security.

The breakdown of the course content by percentage is as follows:

Artificial Intelligence Concepts (23%)This domain lays the foundation by explaining AI fundamentals including machine learning, deep learning, neural networks, data preprocessing, AI lifecycle stages, and maturity models. Learners will also explore AI actors, tools, platforms, and real-world use cases across industries.AI Risk Management (17%)Focuses on the identification, assessment, and mitigation of AI-related risks.

Topics include risk measurement, risk treatment methods, governance structures, and integration of AI risk management within organizational policies and frameworks.AI Risks and Trustworthiness (22%)Explores the characteristics of trustworthy AI systems such as fairness, transparency, accountability, and privacy. Learners will examine how to identify and respond to ethical, social, and technical risks, and understand the roles and motivations of AI threat actors.NIST AI RMF Core (23%)Covers the four core functions of the NIST AI Risk Management Framework—Govern, Map, Measure, and Manage.

Learners will develop the skills to apply these functions to real-world AI risk management scenarios and align them with organizational objectives.NIST AI RMF Profiles (15%)Teaches how to develop and tailor AI RMF Profiles to specific organizational needs. Learners will explore profile components, decision-making responsibilities, profile implementation steps, and tools to support AI risk management.Course FeaturesThis course includes a comprehensive study guide, knowledge check quizzes, and a full-length practice exam.

The study guide walks through each domain with clear explanations and examples. Quizzes help reinforce understanding throughout the course, and the practice exam simulates the real certification experience, helping learners gauge their readiness and build exam confidence.Take the first step toward mastering AI security!Enroll in the AKYLADE AI Security Foundation (AIF-001) certification course today and gain the practical knowledge and credentials to support secure, ethical, and compliant AI systems.

Prepare with confidence—pass the exam and lead the future of secure AI.What Other Students Are Saying About Our Courses:

Everything so far is clear cut what to expect from this course. (Alston S., 5 stars)Great course!! I am really learning & enjoying the course.

Thanks! (Suresh S., 5 stars)The explanations and examples have really helped me to understand concepts I struggled with. (Muzzammil V., 5 stars)Upon completion of this course, you will earn 13 CEUs towards the renewal of your CompTIA Tech+, A+, Network+, Security+, Linux+, Cloud+, PenTest+, CySA+, or CASP+ certifications.

Programme

• Aperçu du cours
• Introduction à la certification Fondation de la sécurité de l'IA
• Objectifs et résultats du cours
• Aperçu des domaines et de la structure de l'examen AISF
• Caractéristiques du cours : Guide d'étude, quiz, examen pratique
• Concepts d'intelligence artificielle (23 %)
Fondamentaux de l'IA
Apprentissage automatique et apprentissage profond
Réseaux de neurones
Prétraitement des données
Étapes du cycle de vie de l'IA et modèles de maturité
Acteurs, outils et plateformes de l'IA
Cas d'utilisation de l'IA dans des secteurs réels
• Gestion des risques de l'IA (17 %)
Identification et évaluation des risques liés à l'IA
Méthodes de mesure et de traitement des risques
Structures de gouvernance et politiques organisationnelles
Intégration des cadres de gestion des risques de l'IA
• Risques de l'IA et fiabilité (22 %)
Caractéristiques des systèmes d'IA fiables
Équité, transparence, responsabilité, confidentialité
Identification et réponse aux risques éthiques/sociaux/techniques
Compréhension des acteurs menaçants de l'IA et de leurs motivations
• Noyau de l'AI RMF par NIST (23 %)
Aperçu des fonctions principales de l'AI RMF du NIST
Gouverner, Cartographier, Mesurer, Gérer
Application aux scénarios de risques réels de l'IA
Alignement du RMF de l'IA avec les objectifs organisationnels
• Profils de l'AI RMF par NIST (15 %)
Développement et personnalisation des profils de l'AI RMF
Composants du profil et responsabilités de prise de décision
Étapes pour la mise en œuvre du profil
Outils pour soutenir la gestion des risques de l'IA
• Support de cours et aides à l'étude
Guide d'étude complet
Quiz de vérification des connaissances
Examen pratique complet
• Préparation à la certification
Stratégies de préparation à l'examen
Renforcer la confiance pour l'examen
Conseils pour réussir du premier coup
• Conclusion
Prochaines étapes pour maîtriser la sécurité de l'IA
Obtenir des unités de formation continue (CEU)
• Retours d'expérience et témoignages des étudiants

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Enseigné par

Jason Dion • 2.5 Million+ Enrollments Worldwide, Dion Training Solutions, Dion Training Solutions • ATO for ITIL & PRINCE2, Dion Training Solutions • ATO for ITIL & PRINCE2 and Alyson Laderman

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Matières

Information Security (InfoSec)