Course InformationCertified AI Security Professional (CAISP)
Pricing112.00 USD
Course length2 Days
Enrolment TypeSelf-Paced
InstructorRaven LMS Demo
Course visibilityAssigned Learners Only
LevelBeginner Level
Lessons3 lessons (1 lesson knowledge check is available)
Associated exams2 exams
CertificateCAISP Certificate
Download materials4 downloadable items

Course Description

Certified AI Security Professional (CAISP) introduces learners to the practical security challenges of artificial intelligence systems, from model vulnerabilities and data protection to governance, compliance, and secure deployment. This course helps professionals understand how AI can be attacked, misused, monitored, and protected across enterprise environments. Learners explore risk assessment, adversarial threats, privacy controls, responsible AI practices, and security architecture principles needed to build, manage, and evaluate trustworthy AI-powered solutions.

What You Will Learn

  • Understand key AI security risks, including data poisoning, model manipulation, prompt injection, and adversarial attacks.
  • Learn how to protect AI models, datasets, APIs, and automated decision systems from misuse or compromise.
  • Explore AI governance, compliance, privacy, ethical use, and responsible security oversight for enterprise environments.
  • Apply practical risk assessment methods to identify vulnerabilities across the AI development and deployment lifecycle.
  • Gain knowledge of secure AI architecture, monitoring, incident response, and controls for trustworthy AI operations.

Course Lessons

Preview lesson titles before enrollment. Lesson content, exams, materials, completion actions, and learner progress remain protected by Raven LMS.

30 min
Enrollment required
Text
Sub-lessons
  • AI System Components and Security Boundaries
  • Enterprise AI Risk Identification and Classification
  • Secure AI Lifecycle, Governance, and Accountability
60 min
Enrollment required
TextImagesAudio
Topics / Sub-Lessons0/3 completed
  1. Prompt Injection, Jailbreaking, and Unsafe Input ManipulationRequired
  2. Data Poisoning, Model Evasion, and Adversarial AttacksRequired
  3. Model Theft, API Abuse, and Sensitive Data ExposureRequired

Complete 3 required sub-lessons before marking this lesson complete.

50 min
Enrollment required
Microlearning
TextImagesVideoLesson Knowledge Check
Topics / Sub-Lessons0/3 completed
  1. AI Security Policies, Controls, and Responsible Use GovernanceRequired
  2. Continuous AI Monitoring, Audit Trails, and Risk ReportingRequired
  3. AI Incident Response, Escalation, and Recovery PlanningRequired

Complete 3 required sub-lessons before marking this lesson complete.

Display-only preview: this lesson list does not grant course access.

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