The IAPP’s AIGP training is for professionals tasked with implementing AI governance and risk management within their organizations. It provides baseline knowledge and strategies needed to respond to complex risks associated with AI and its evolving landscape. This training answers the rapidly growing need for qualified and well-trained professionals to ensure AI systems are developed, integrated and deployed in line with emerging laws and policies and in a trustworthy manner.
The training is completed over two days of online training delivered by one of our team of certified AIGP trainers.
The training course leads to globally recognised IAPP certification upon successful completion of the IAPP AIGP exam.
€1,385 + IAPP Addons
IAPP Membership – €275
AIGP Exam – €740
TOTAL €2,400
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Advance your career, increase your earning potential and be a hero at your workplace. A certification from the IAPP validates your knowledge in data privacy – making you a key asset wherever you work. The AIGP credential demonstrates that an individual can ensure safety and trust in the development and deployment of ethical AI and ongoing management of AI systems.
FOUNDATIONS OF ARTIFICIAL INTELLIGENCE: Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context.
AI IMPACTS AND RESPONSIBLE AI PRINCIPLES: Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI.
AI GOVERNANCE AND RISK MANAGEMENT: Examines the details of building AI governance, including collaborating with major AI stakeholders, defining roles and responsibilities, and identifying and managing risks.
AI REGULATION: Describes relevant global laws and discusses key points related to terminology, risk levels, requirements, governance and enforcement as laid out in AI-specific regulation.
OTHER LAWS THAT APPLY TO AI: Surveys the existing laws that govern AI, provides awareness of liability reform, and outlines how various legal frameworks, including data privacy and intellectual property laws, intersect with AI applications.
GOVERNING AI DEVELOPMENT: Explains considerations for planning, designing and building AI systems, including governing data collection and use in AI design and development.
GOVERNING AI DEPLOYMENT: Addresses best practices for the preparation and execution of AI deployment, as well as post-implementation activities.
