IAPP Artificial Intelligence Governance Professional® (AIGP®)

The speed of adoption and innovation in AI products and services demands that this massively powerful technology with huge societal impacts is governed and implemented safely. There is a rapidly growing need for qualified and well-trained professionals to ensure AI systems are developed, integrated and deployed in line with emerging AI laws and policies and in a way we can trust.

This accelerated IAPP Artificial Intelligence Governance Professional (AIGP) certification provides training for the emerging AI governance profession. An AIGP-trained and certified professional will know how to implement and effectively communicate across teams the emerging best practices and rules for responsible management of the AI ecosystem. We are privileged to grow a community of credentialed AI governance professionals, through which resources and expanding knowledge can be brought together in one place.

The main purpose of the AIGP is to document the knowledge and skills that will be assessed on the AIGP certification exam. The domains of the BoK capture the activities that an AI governance professional should undertake to guide AI’s implementation in a manner that mitigates risk and ensures safety and trust.

In just 2 days, you’ll learn to:

• Understand the basic elements of AI and ML
• Understand the differences among types of AI systems
• Understand the AI technology stack
• Understand the history of AI and the evolution of data science
• Understand the core risks and harms posed by AI systems
• Understand the characteristics of trustworthy AI systems
• Understand the similarities and differences among existing and emerging ethical guidance on AI
• Understand the existing laws that interact with AI use
• Understanding key GDPR intersections
• Understanding liability reform
• Understanding the requirements of the EU AI Act
• Understand other emerging global laws
• Understand the similarities and differences among the major risk management frameworks and standards
• Understand the key steps in the AI system planning phase
• Understand the key steps in the AI system design phase
• Understand the key steps in the AI system development phase
• Understand the key steps in the AI system implementation phase
• Ensure interoperability of AI risk management with other operational risk strategies
• Integrate AI governance principles into the company
• Establish an AI governance infrastructure
• Map, plan and scope the AI project
• Test and validate the AI system during development
• Manage and monitor AI systems after deployment
• Awareness of legal issues
• Awareness of user concerns
• Awareness of AI auditing and accountability issues

At the end of this course, you’ll sit the official IAPP exam and achieve your IAPP Artificial Intelligence Governance Professional (AIGP) certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Module 1: Understanding the Foundations of Artificial Intelligence

• Defines AI and machine learning, provides an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context.

Module 2: Understanding AI Impacts and Responsible AI Principles

• Identifies the risks that ungoverned AI systems can have on humans and society and describes the characteristics and principles that are essential to trustworthy and ethical AI.

Module 3: Understanding How Current Laws Apply to AI Systems

• Surveys the current laws that govern the use of artificial intelligence.

Module 4: Understanding the Existing and Emerging AI Laws and Standards

• Outlines the global AI-specific laws (like the EU AI Act and Canada‚Äôs Bill C-27) and the major frameworks that show how AI systems can be responsibly governed.

Module 5: Understanding the AI Development Life Cycle

• Broadly outlines the context in which AI risks are managed.

Module 6: Implementing Responsible AI Governance and Risk Management

• Explains how the major AI stakeholders collaborate in a layered approach, to manage AI risks while fulfilling the potential benefits AI systems have for society.

Module 7: Contemplating Ongoing Issues and Concerns

• Presents some of the debated issues around AI governance.

There are no prerequisites to attend this accelerated course.

At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training Centre, covered by our Certification Guarantee:

IAPP Artificial Intelligence Governance Professional® (AIGP®) exam

Domains:

• Understanding the Foundations of Artificial Intelligence
• Understanding AI Impacts and Responsible AI Principles
• Understanding How Current Laws Apply to AI Systems
• Understanding the Existing and Merging AI Laws and Standards
• Understanding the AI Development Life Cycle
• Implementing Responsible AI Governance and Risk Management
• Contemplating Ongoing Issues and Concerns