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Program Highlights

The IAPP Artificial Intelligence Governance Professional training course covers essential aspects, including the foundational elements of AI and machine learning, the evolution of AI, and its impact on society. It emphasizes responsible AI principles and identifies core risks and characteristics of trustworthy AI systems.

  • 32-Hour of Instructor-led Training32-Hour of Instructor-led Training
  • IAPP Official Training PartnerIAPP Official Training Partner
  • IAPP e-Book & NotesIAPP e-Book & Notes
  • Highly Interactive and Dynamic SessionsHighly Interactive and Dynamic Sessions
  • 1 Year IAPP Membership1 Year IAPP Membership
  • Learn from Industry ExpertsLearn from Industry Experts
  • Career Guidance and MentorshipCareer Guidance and Mentorship
  • Extended Post Training SupportExtended Post Training Support
  • Immersive LearningImmersive Learning

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About course

The IAPP Artificial Intelligence Governance Professional training course from InfosecTrain provides a foundational understanding of AI concepts and their applications, including machine learning and various AI systems. It delves into the AI technology stack and traces the history and evolution of data science. Emphasizing AI’s impact on society, the course covers responsible AI principles, addressing core risks, and ethical guidance for trustworthy AI systems. It reviews current laws, standards, and emerging global regulations, including GDPR intersections and the EU AI Act, and outlines risk management frameworks.

The AI development life cycle is thoroughly explored, from planning to implementation. Additionally, the course highlights responsible AI governance and risk management, emphasizing interoperability, governance principles, infrastructure, project scoping, and system validation. Finally, it addresses ongoing legal, user, and accountability issues, ensuring a well-rounded understanding of AI governance.

Learning Outcome

Foundations of AI

  • Basic elements of AI and machine learning
  • Different types of AI systems
  • AI technology stack
  • History of AI and the evolution of data science

 

AI impact on people and responsible AI principles

  • Core risks and harms
  • Characteristics of trustworthy AI systems
  • Ethical guidance

 

Current laws and standards

  • Existing laws
  • GDPR intersections
  • Liability reform
  • The EU AI Act.
  • Emerging global laws
  • Risk management frameworks and standards

 

AI development life cycle

  • Planning
  • Design
  • Development
  • Implementation

 

Responsible AI governance and risk management

  • Interoperability with other operational risk strategies
  • AI governance principles
  • AI governance infrastructure
  • Mapping, planning, and scoping AI projects
  • Testing and validating AI systems
  • Managing and monitoring AI systems

 

Ongoing issues and concerns

  • Legal issues
  • User concerns
  • Auditing and accountability issues

Target Audience
  • Chief AI Officer (CAIO)
  • AI Governance Specialist
  • AI Risk Manager
  • Data Privacy Officer (DPO)
  • Compliance Officer
  • Ethical AI Consultant
Pre-requisites
  • Foundational Understanding of AI
  • Prior experience or knowledge in roles related to AI governance, compliance, or risk management is highly valuable
  • Knowledge of industry-standard AI frameworks and guidelines is important for ensuring best practices
  • At least 2 years of working experience in relevant roles is recommended to provide the necessary background and expertise
Exam Information
Certification Body International Association of Privacy Professionals (IAPP)
Exam Format Multiple-choice Questions and Scenario-based Questions
Number of Questions 100 Questions
Exam Duration 150
Exam Language English
Passing Score 300 on a scale of 100 to 500
Language English
Testing Center (ISC)2 Authorized PPC and PVTC Select Pearson VUE Testing Centers
Course Objectives
  • Gain a foundational understanding of AI and machine learning basics.
  • Understand the historical context and evolution of AI and data science.
  • Explore the impact of AI on people and learn responsible AI principles.
  • Identify core risks and harms associated with AI.
  • Recognize characteristics of trustworthy AI systems and ethical guidance.
  • Familiarize with existing laws, including GDPR intersections and the EU AI Act.
  • Learn about risk management frameworks and standards.
  • Understand the AI development life cycle stages: planning, design, development, and implementation.
  • Gain insights into responsible AI governance and risk management.
  • Learn to integrate AI governance with other operational risk strategies.
  • Develop skills for mapping, planning, and scoping AI projects.
  • Master the techniques for testing, validating, managing, and monitoring AI systems.
  • Address ongoing legal issues, user concerns, and accountability in AI systems.
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Frequently Asked Questions

What is the IAPP AIGP Certification?

The IAPP Artificial Intelligence Governance Professional (AIGP) Certification is a credential that the International Association of Privacy Professionals (IAPP) offers. It focuses on equipping professionals with the knowledge and skills to manage AI governance, ensure ethical AI practices, and navigate regulatory compliance related to AI technologies.

Why should I pursue the IAPP AIGP Certification?

Pursuing the IAPP AIGP Certification can:

  • Enhance your expertise in AI governance and ethical AI practices.
  • Improve your career prospects in the growing field of AI and data privacy.
  • Ensure you are up-to-date with the latest AI regulations and standards.
  • Demonstrate your commitment to responsible AI use to employers and stakeholders.

Who should take the IAPP AIGP Certification Training?

  • Chief AI Officer (CAIO)
  • AI Governance Specialist
  • AI Risk Manager
  • Data Privacy Officer (DPO)
  • Compliance Officer
  • Ethical AI Consultant

What are the prerequisites for the IAPP AIGP Certification?

Prerequisites include:

  • Foundational Understanding of AI
  • Prior experience or knowledge in roles related to AI governance, compliance, or risk management is highly valuable
  • Knowledge of industry-standard AI frameworks and guidelines is important for ensuring best practices
  • At least 2 years of working experience in relevant roles is recommended to provide the necessary background and expertise

What topics are covered in the IAPP AIGP Certification Training?

  • Foundations of AI
  • AI impact on people and responsible AI principles
  • Current laws and standards
  • AI development life cycle
  • Responsible AI governance and risk management
  • Ongoing issues and concerns

How long is the IAPP AIGP Certification Training course?

The IAPP AIGP training duration is 32 hours.

What is the format of the IAPP AIGP Certification exam?

It consists of 100 multiple-choice and scenario-based questions.

How can I prepare for the IAPP AIGP Certification exam?

Preparation tips:

  • Attend the official IAPP AIGP Certification Training course.
  • Review provided study materials and reference documents.
  • Participate in study groups and forums.
  • Take practice exams to familiarize yourself with the question format.
  • Enroll in InfosecTrain’s IAPP AIGP training program

Where can I find IAPP AIGP Certification Training courses?

Training courses are available globally on the IAPP website or IAPP-accredited training partners like InfosecTrain.

What is the passing score for the IAPP AIGP Certification exam?

The passing score for the IAPP AIGP certification exam is 300 on a scale of 100 to 500.

How often do I need to renew my IAPP AIGP Certification?

Certifications need to be renewed every two years. This involves completing continuing education credits and paying a renewal fee.

Can I take the IAPP AIGP Certification exam online?

Yes, the exam can be taken online via Pearson VUE’s OnVue program or at a designated Pearson VUE testing center.

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