Certified AI Governance Professional (AIGP) Training in Sweden

The Certified Artificial Intelligence Governance Professional (AIGP) training is designed to help professionals understand how to build and manage trustworthy AI systems. The course provides a comprehensive understanding of AI technology, governance frameworks, regulatory requirements, and risk management strategies.

Participants learn how to implement ethical AI practices, manage AI risks, and ensure that AI systems comply with emerging global laws and policies.

What’s Included in the Training

Participants receive several benefits when enrolling in the program:

• Official training materials

• Exam voucher for certification

• 12-month membership to the IAPP

If you are already an IAPP member, your membership will be extended for an additional year.

Exam Details

The AIGP certification exam includes:

• Duration: 3 hours

• Optional 15-minute break

• 100 multiple-choice questions

• Around 30% scenario-based questions

Results are available through the IAPP portal.

There are no prerequisites for this training. Anyone interested in AI governance can participate.

As artificial intelligence becomes increasingly integrated into business operations, organizations need experts who can manage AI responsibly.

Professionals with the AIGP credential can:

• Evaluate AI systems effectively

• Develop governance frameworks

• Ensure regulatory compliance

• Manage AI-related risks

This certification demonstrates expertise in responsible AI governance and ethical AI implementation.

1. Foundations of Artificial Intelligence

This module explains the fundamental concepts of artificial intelligence.

Participants will:

• Define artificial intelligence and machine learning
• Learn about different types of AI systems
• Understand the evolution of data science

2. The Impact of Artificial Intelligence on People

This section examines the risks and ethical responsibilities created by artificial intelligence.

Participants will:

• Analyze risks related to AI systems
• Learn the characteristics of trustworthy AI
• Understand ethical AI principles

3. AI Development Life Cycle

This module explains the development processes of AI systems.

Participants will:

• Learn the AI life cycle
• Understand data management processes
• Analyze how AI risks are managed

4. Responsible AI Governance and Risk Management

This module focuses on the safe management of AI systems.

Participants will:

• Learn the requirements of the EU AI Act
• Review global AI regulations
• Compare risk management frameworks

5. Implementation of AI Projects

This module covers the planning and implementation of AI projects.

Participants will:

• Plan AI projects
• Test AI systems
• Monitor and manage AI applications

6. Existing Laws Affecting Artificial Intelligence

This module explains the legal regulations that affect AI technologies.

Participants will:

• Learn the relationship between GDPR and AI
• Review liability reforms
• Understand AI compliance processes

7. New AI Laws and Standards

This section examines global artificial intelligence regulations.

Participants will:

• Learn AI regulations
• Analyze standards and frameworks
• Evaluate AI governance models

8. Current AI Discussions and Future Risks

The final module explores current discussions related to artificial intelligence.

Topics include:

• User trust
• AI auditing
• Accountability
• Ethical responsibility