Certified AI Governance Professional (AIGP) Training in Singapore

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 2 Days
  • Level: Intermediate
  • Price: From SGD 4,450 +TAX
  • Upcoming Date:

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.

What's included:

  • Official learning materials
  • Exam Voucher
  • The cost of this course includes your exam voucher, and 12 months membership to the IAPP. If you are already an IAPP member, we will extend your membership by another year.

About the exam

Preparation makes all the difference. In general, the IAPP recommend that you train and study for a minimum of 30 hours, utilising the course materials and the AIGP Body of Knowledge (BoK).

  • Taken post course, via Pearson Vue
  • 3 hours including a 15-minute optional break.
  • 100 multiple choice questions, 30% relating to scenarios.
  • Results available via the IAPP portal


Prerequisites

There are no prerequisites for this course.

Target Audience

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.


What You Will Learn

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.

  • Establish foundational knowledge of AI systems and their use cases, the impacts of AI, and comprehension of responsible AI principles.
  • Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks are capable of being responsibly governed.
  • Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
  • Presents awareness of unforeseen concerns with AI and knowledge of debated issues surrounding AI governance.

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.

Training Outline

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;

  • Describe and explain the differences among types of AI systems.
  • Describe and explain the AI technology stack.
  • Describe and explain AI and the evolution of data science.

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;

  • Describe and explain the core risks and harms posed by AI systems.
  • Describe and explain the characteristics of trustworthy AI systems.

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;

  • Describe and explain the similarities and differences among existing and emerging ethical guidance on AI.
  • Describe and explain the existing laws that interact with AI use.
  • Describe and explain key GDPR intersections.
  • Describe and explain liability reform.

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;

  • Describe and explain the requirements of the EU AI Act.
  • Describe and explain other emerging global laws.
  • Describe and explain the similarities and differences among the major risk management frameworks and standards.

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;

  • Describe and explain the key steps in the AI system planning phase.
  • Describe and explain the key steps in the AI system design phase.
  • Describe and explain the key steps in the AI system development phase.
  • Describe and explain the key steps in the AI system implementation phase.

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;

  • 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.

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;

  • Gain an awareness of legal issues.
  • Gain an awareness of user concerns.
  • Gain an awareness of AI auditing and accountability issues.

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.

Exams and Assessments

This course includes the IAPP Artificial Intelligence Governance Professional (AIGP) exam, with the exam voucher provided as part of the course cost.

- Format: 100 multiple-choice questions, 30% of which are scenario-based

- Duration: 3 hours, with an optional 15-minute break

- Delivery: taken post-course via Pearson VUE

- Results: available through the IAPP portal

Successful candidates earn the AIGP certification, which demonstrates the ability to ensure safety and trust in the development, deployment and ongoing management of ethical AI systems. The IAPP recommends a minimum of 30 hours of study and training in preparation for the exam.

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Certified AI Governance Professional (AIGP) in Singapore through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from Singapore or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Certified AI Governance Professional (AIGP) through face-to-face Classroom Based training in Singapore. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Certified AI Governance Professional (AIGP) in Singapore as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in Singapore or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.


Contact us for more detail about our trainings and for all other enquiries!

Certified AI Governance Professional (AIGP) Training Course in Singapore Schedule

Join our public courses in our Singapore facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

For corporate groups, we can organize this training as an on-site private group.
14 October 2026 (2 Days)
Singapore
SGD 4,450 +TAX
07 November 2026 (2 Days)
Singapore
SGD 4,450 +TAX
08 November 2026 (2 Days)
Singapore
SGD 4,450 +TAX
10 November 2026 (2 Days)
Singapore
SGD 4,450 +TAX
01 December 2026 (2 Days)
Singapore
SGD 4,450 +TAX
20 December 2026 (2 Days)
Singapore
SGD 4,450 +TAX
10 January 2027 (2 Days)
Singapore
SGD 4,450 +TAX
18 January 2027 (2 Days)
Singapore
SGD 4,450 +TAX

Singapore is widely recognized as Asia's leading 'Smart Nation,' serving as a global financial and technology powerhouse with unparalleled infrastructure for IT training and research. Strategically located in the heart of Southeast Asia, it acts as a magnet for international tech talent and investment, supported by the research prestige of the National University of Singapore (NUS) and Nanyang Technological University (NTU). The city-state is a world leader in Cybersecurity, Blockchain, and Data Science, fostering an environment where digital transformation is integrated into every level of society. Our training programs in Singapore are built for a workforce that demands the highest technical standards and strategic insight. We offer advanced certifications in AI, Cloud Engineering, and Digital Governance, ensuring that Singapore continues to set the global benchmark for technological sophistication and excellence in the modern digital era.