- Promoted by: Anonymous
- Platform: Udemy
- Category: IT Certifications
- Language: English
- Instructor: Khushbu Singh
- Duration:
- Student(s): 651
- Rate 0 Of 5 From 0 Votes
- Expires on: 2025/08/09
-
Price:
19.990
Master the IAPP AIGP Exam with 600 Practice Questions Categorized by Domain | Detailed Explanation for Every Option
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for the "AIGP (AI Governance Professional) Practice Test 2025" course by Khushbu Singh on Udemy.
This course, boasting a 0.0-star rating from 0 reviews
and with 651 enrolled students, provides comprehensive training in IT Certifications.
Spanning approximately
, this course is delivered in English
and we updated the information on August 05, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
This AIGP (AI Governance Professional) Practice Test course is designed to give you the ultimate preparation experience for the IAPP’s AIGP certification exam. With 600 high-quality, exam-like questions divided across the four official AIGP exam domains, this course replicates the real test environment and helps you build mastery and confidence.
Each question has been carefully crafted to reflect the difficulty, style, and topics of the actual exam, including scenario-based and theory-based questions. Whether you're just starting your AIGP prep or need a final assessment before test day, this course will help you identify your strengths and target your weak areas.
Key Features of the Course
600 AIGP Practice Questions aligned to the official IAPP exam blueprint
Questions are categorized by domain for focused preparation
Timed exams to simulate the actual 3-hour test environment
Instant scoring and performance reports after each test
Detailed explanations for every option – not just the correct one
Scenario-based, policy-based, and theory questions included
Build confidence and boost your readiness for the AIGP exam
Exam Domains Covered
All questions are divided according to the official AIGP domains defined by IAPP:
Understanding the foundations of AI governance
(~18–20% of exam)
Ethics, risk, governance frameworks, and responsible AI foundations.Understanding how laws, standards, and frameworks apply to AI
(~24–26% of exam)
Privacy laws, EU AI Act, NIST, ISO standards, OECD AI principles.Understanding how to govern AI development
(~27–29% of exam)
Data quality, model training, lifecycle controls, internal processes.Understanding how to govern AI deployment and use
(~27–29% of exam)
Vendor risk, transparency, post-deployment controls, auditing.