Akylade Certified AI Security Practitioner Prep Course

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

What you'll learn
Build and understanding about Ethics and Human-AI Interaction with AI Systems
Learn Advanced AI Risk Management techniques, frameworks, and methods
Discuss how AI System Integration and Security work together
Apply the NIST AI RMF to build an organization profile and strategy
Create an AI Risk Management Action Plan
Build a plan for AI Incident Response and Management

Requirements
To get the most out of this course, students should also attend the AKYLADE AI Security Foundation course.

Description
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:Ethics and Human-AI InteractionAdvanced AI Risk Management AI System Integration and Security NIST AI RMF AI Risk Management Action Plan AI Incident Response and ManagementThe course will provide training on the following objectives:Domain 1Given 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 2Given 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 3Compare 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 4Given 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 5Given 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 6Given 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.

This course goes beyond the foundation level and helps provide you with applicable frameworks and methods as an AI risk practitioner.