Curso Completo y Examen de Práctica de Fundamentos de Seguridad de AKYLADE AI

Resumen

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.

Programa

• Visión General del Curso
• Introducción a la Certificación de Fundamentos de Seguridad en IA
• Objetivos y Resultados del Curso
• Vista General de los Dominios del AISF y Estructura del Examen
• Características del Curso: Guía de Estudio, Cuestionarios, Examen de Práctica
• Conceptos de Inteligencia Artificial (23%)
Fundamentos de IA
Aprendizaje Automático y Aprendizaje Profundo
Redes Neuronales
Preprocesamiento de Datos
Fases del Ciclo de Vida de la IA y Modelos de Madurez
Actores, Herramientas y Plataformas de IA
Aplicaciones Reales de IA en Diversas Industrias
• Gestión de Riesgos en IA (17%)
Identificación y Evaluación de Riesgos Relacionados con IA
Métodos de Medición y Tratamiento de Riesgos
Estructuras de Gobernanza y Políticas Organizacionales
Integración de Marcos de Gestión de Riesgos de IA
• Riesgos y Confiabilidad de la IA (22%)
Características de los Sistemas de IA Confiables
Equidad, Transparencia, Responsabilidad, Privacidad
Identificación y Respuesta a Riesgos Éticos/Sociales/Técnicos
Comprensión de los Actores Amenazantes de IA y sus Motivaciones
• Núcleo del NIST AI RMF (23%)
Vista General de las Funciones del Núcleo del NIST AI RMF
Gobernar, Mapear, Medir, Gestionar
Aplicación a Escenarios de Riesgo de IA en el Mundo Real
Alineación del AI RMF con los Objetivos Organizacionales
• Perfiles del NIST AI RMF (15%)
Desarrollo y Personalización de Perfiles de AI RMF
Componentes de Perfil y Responsabilidades de Toma de Decisiones
Pasos para la Implementación de Perfiles
Herramientas para Apoyar la Gestión de Riesgos de IA
• Apoyo del Curso y Ayudas de Estudio
Guía de Estudio Integral
Cuestionarios de Verificación de Conocimientos
Examen de Práctica de Largo Alcance
• Preparación para la Certificación
Estrategias de Preparación para el Examen
Desarrollo de Confianza para el Examen
Consejos para el Éxito en la Primera Aprobación
• Conclusión
Próximos Pasos para Dominar la Seguridad en IA
Obtención de Unidades de Educación Continua (CEUs)
• Retroalimentación y Testimonios de los Estudiantes

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Impartido por

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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Materias

Information Security (InfoSec)