AKYLADE AI Security Foundation AISF-001 (A/AISF) Cert Prep
4h 38mIntermediate2025-03-28
Authors
Dwayne Natwick
Cloud Security Lead, Microsoft MVP
Captain Hyperscaler, LLC
Course details
The AKYLADE AI Security Foundation (A/AISF) certification exam is designed to evaluate your ability to understand and apply essential artificial intelligence (AI) security concepts including but not limited to artificial intelligence concepts, AI risk management, AI risks and trustworthiness, and the essentials of the NIST Risk Management Framework. An ideal fit for cybersecurity, IT, risk management, and compliance professionals, this course equips you with the skills you need to tackle the official A/AISF exam.
Skills covered
Network SecurityArtificial Intelligence FoundationsCybersecurityCert PrepArtificial Intelligence (AI)
Concepts
0. Introduction
- 01 - Course and exam overview
1. Artifical Intelligence Concepts
- 02 - Basic principles and key terms
- 03 - Deep learning functions
- 04 - AI lifecycle and steps to develop an AI model
- 05 - Various AI actors and their associated tasks
- 06 - Assess AI maturity and develop strategies for AI implementation
- 07 - Common AI technologies, tools, and use cases
- 08 - Ethical considerations, role of data, and deployment challenges
2. AI Risk Management
- 09 - Basic principles and key terms
- 10 - How to conduct risk measurement for an AI system
- 11 - How an AI risk assessment is conducted
- 12 - How governance is used in AI risk management
3. AI Risks and Trustworthiness
- 13 - Characteristics of trustworthy AI systems
- 14 - Balance characteristics of trustworthy AI systems
- 15 - Identify, document, and mitigate risks associated with AI systems
- 16 - Identify AI threat actors
- 17 - The relationship between AI risks and societal impacts
4. NINST AI RMF Core
- 18 - Key aspects of the NIST AI RMF core
- 19 - Govern a function's categories and subcategories
- 20 - Map a function's categories and subcategories
- 21 - Measure a function's categories and subcategories
- 22 - Manage a function's categories and subcategories
5. NIST AI RMF Profiles
- 23 - Key aspects of the NIST AI RMF profiles
- 24 - Manage risks using an AI RMF profile
- 25 - Best practices and tools for managing an AI RMF profile
6. Course Review and Practice Exam
- 26 - Course review and practice exam