AKYLADE AI Security Foundation Full Course & Practice Exam

Overview

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.

Syllabus

• Course Overview
• Introduction to AI Security Foundation Certification
• Course Objectives and Outcomes
• Overview of AISF Domains and Exam Structure
• Course Features: Study Guide, Quizzes, Practice Exam
• Artificial Intelligence Concepts (23%)
AI Fundamentals
Machine Learning and Deep Learning
Neural Networks
Data Preprocessing
AI Lifecycle Stages and Maturity Models
AI Actors, Tools, and Platforms
Real-world AI Use Cases Across Industries
• AI Risk Management (17%)
Identification and Assessment of AI-related Risks
Risk Measurement and Treatment Methods
Governance Structures and Organizational Policies
Integration of AI Risk Management Frameworks
• AI Risks and Trustworthiness (22%)
Characteristics of Trustworthy AI Systems
Fairness, Transparency, Accountability, Privacy
Identifying and Responding to Ethical/Social/Technical Risks
Understanding AI Threat Actors and Motivations
• NIST AI RMF Core (23%)
Overview of NIST AI RMF Core Functions
Govern, Map, Measure, Manage
Application to Real-world AI Risk Scenarios
Aligning AI RMF with Organizational Objectives
• NIST AI RMF Profiles (15%)
Developing and Tailoring AI RMF Profiles
Profile Components and Decision-making Responsibilities
Steps for Profile Implementation
Tools to Support AI Risk Management
• Course Support and Study Aids
Comprehensive Study Guide
Knowledge Check Quizzes
Full-length Practice Exam
• Certification Preparation
Exam Preparation Strategies
Building Exam Confidence
Tips for First-time Pass Success
• Conclusion
Next Steps in Mastering AI Security
Earning Continuing Education Units (CEUs)
• Student Feedback and Testimonials

Taught by

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

Subjects

Information Security (InfoSec)