The Artificial Intelligence Governance Professional training or 'AIGP' teaches professionals how to develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies around the world. The course and certification provide an overview of AI technology, survey of current law and strategies for risk management, among many other relevant topics.
Why should I take the Certified Artificial Intelligence Governance Professional training?
Businesses and institutions need professionals who can evaluate AI, curate standards that apply to their enterprises, and implement strategies for complying with applicable laws and regulations.
With the expansion of AI technology, there is a need for professionals in all industries to understand and execute responsible AI governance. 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.
There are no prerequisites for this course.
Who Should Train?
We must continue to build and refine the governance processes through which trustworthy AI will emerge and we must invest in the people who will build ethical and responsible AI. Those who work in compliance, privacy, security, risk management, legal, HR and governance together with data scientists, AI project managers, business analysts, AI product owners, model ops teams and others must be prepared to tackle the expanded equities at issue in AI governance.
Including any professionals tasked with developing AI governance and risk management in their operations, and anyone pursuing IAPP Artificial Intelligence Governance Professional (AIGP) certification.
AIGP training teaches how to develop, integrate, and deploy trustworthy AI systems in line with emerging laws and policies. The curriculum provides an overview of AI technology, survey of current law, and strategies for risk management, security and safety considerations, privacy protection and other topics.
This training teaches critical AI governance concepts that are also integral to the AIGP certification exam. While not purely a “test prep” course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.
Module 1: 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. At the end of this module you will be able to;
Module 2: AI impacts on people 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. At the end of this module you will be able to;
Module 3: AI development life cycle
Describes the AI development life cycle and the broad context in which AI risks are managed. At the end of this module you will be able to;
Module 4: Implementing responsible AI governance and risk management
Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI systems’ potential societal benefits. At the end of this module you will be able to;
Module 5: Implementing AI projects and systems
Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and managing and monitoring AI systems after deployment. At the end of this module you will be able to;
Module 6: Current laws that apply to AI systems
Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of liability reform. At the end of this module you will be able to;
Module 7: Existing and emerging AI laws and standards
Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed. At the end of this module you will be able to;
Module 8: Ongoing AI issues and concerns
Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues.
Join our public courses in our Istanbul, London and Ankara facilities. Private class trainings will be organized at the location of your preference, according to your schedule.