AKYLADE Certified AI Security Practitioner prep course

AKYLADE Certified AI Security Practitioner prep course free download

Prepare for the A/AISP certification from AKYLADE with this on-demand course.

The AKYLADE AI Security Practitioner (A/AISP) Certification validates professionals' expertise in managing AI risks to ensure system trustworthiness, and integrating security measures within organizational AI frameworks.

This course covers the following domains for the exam:

1. Ethics and Human-AI Interaction

2. Advanced AI Risk Management

3. AI System Integration and Security

4. NIST AI RMF

5. AI Risk Management Action Plan

6. AI Incident Response and Management

The course will provide training on the following objectives:

• Domain 1

  • Given a scenario, develop and implement ethical guidelines for the adoption and use of AI systems.

  • Given a scenario, analyze ethical considerations in AI systems and traditional software systems.

  • Given a scenario, assess and mitigate bias in AI systems.

  • Given a scenario, analyze human-AI interactions and their impacts.

• Domain 2

  • Given a scenario, develop and implement an AI risk management strategy for an organization.

  • Given a scenario, assess the risk associated with an AI system and analyze the results of the risk assessment.

  • Given a scenario, perform risk identification and prioritization for threats and vulnerabilities in an AI system.

  • Given a scenario, analyze the impact of AI risks on an organization’s assets and determine the appropriate risk response or risk treatment to implement.

• Domain 3

  • Compare and contrast the security needs of AI systems and traditional software technologies.

  • Given a scenario, develop and implement a security integration plan for an AI system.

  • Given a scenario, evaluate and mitigate security risks that may occur during the integration of an AI system within an organization.

  • Given a scenario, evaluate and implement strategies for conducting continuous monitoring and improvement of an AI system’s security.

• Domain 4

  • Given a scenario, implement the Govern function’s categories and subcategories to conduct AI risk management.

  • Given a scenario, implement the Map function’s categories and subcategories to conduct AI risk management.

  • Given a scenario, implement the Measure function’s categories and subcategories to conduct AI risk management.

  • Given a scenario, implement the Manage function’s categories and subcategories to conduct AI risk management.

  • Given a scenario, manage AI risks within an organization by creating, implementing, updating, and/or tailoring NIST Artificial Intelligence (AI) Risk Management Framework (RMF) Profiles.

• Domain 5

  • Given a scenario, discover the top AI risks within an organization.

  • Given a scenario, create a customized AI Risk Management Action Plan for an organization.

  • Given a scenario, perform continuous improvements, maintenance, and updates to an organization’s AI Risk Management Action Plan.

• Domain 6

  • Given a scenario, evaluate and select an appropriate incident response methodology for an organization to implement to minimize gaps and challenges in its response efforts.

  • Given a scenario, conduct strategic incident response planning and management.

  • Given a scenario, perform incident response actions for an AI system within an organization.

  • Given a scenario, evaluate the effectiveness of an organization’s AI incident response efforts.