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.
The AI Governance Professional (AIGP) training course prepares you with baseline knowledge and strategies for responding to complex risks associated with the evolving AI landscape. This training program meets the rapidly growing need for professionals who can develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies.
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.
The AIGP program was developed by the International Association of Privacy Professionals (IAPP), which is the world’s largest comprehensive global information privacy community.
Course Overview
This course is a comprehensive program, led by our expert facilitator. Learn with like-minded peers to expertly prepare for the AIGP exam. See below for the program in detail.
This course will enable you to:
- Understand the technological foundations of artificial intelligence and the AI development lifecycle
- Evaluate AI’s effects on people and apply appropriate principles
- Know how current and emerging laws apply to AI systems
- Implement responsible AI governance and risk management, and
- Contemplate ongoing issues and concerns.
What’s included
When you book direct with Helios Salinger, you will receive:
- The benefits of learning in an environment which includes being able to share first hand experiences and questions with privacy-experienced peers
- A guaranteed small group workshop: we cap our numbers at 25 participants, to ensure the best learning environment
- Guidance from our expert facilitator, Andrea Calleia
- Comprehensive course notes in a Participant Guide (digital copy for all participants + hard copy shipped within Australia and to NZ)
- Exam voucher, and
- IAPP Membership.
Note: Your exam can be scheduled at a date and location to suit you; online proctoring now available. If you are already an IAPP Member, your membership will be extended by 12 months upon registering for this course.
Who should attend?
- Anyone involved with implementing AI governance and risk management in their organisation
- Privacy Officers
Next available programs
ONLINE (LIVE VIRTUAL CLASSROOM) – Course is spread over 4 half-days.
NEXT DATES: 13 + 14 and 20 + 21 October 2026. 9am to 12:30pm each day, AEDT.
SOLD OUT – August 2026 session.
Early bird price of $2,800 + GST per person is valid until 2 September 2026.
Book in 3+ participants together for a 5% discount, automatically applied at online checkout.
Please contact us to request a quote for training a team in-house, across Australia or New Zealand, or subscribe to our newsletter to be notified of future dates.
Our Facilitator
Helios Salinger (previously Salinger Privacy) is a market leader in privacy training, consulting and pragmatic compliance tools. Salinger Privacy was established in 2004 by one of Australia’s foremost privacy experts on privacy law and practice, Anna Johnston. Our team have delivered training on behalf of the Australian, NSW and Victorian Privacy Commissioners, and the International Association of Privacy Professionals.
This training will be facilitated by Andrea Calleia, our Director of Learning. Andrea has extensive experience in the learning and development field, and has specialised in developing and delivering privacy training since 2003. Andrea managed the education program for the NSW Privacy Commissioner’s Office, and on behalf of Salinger Privacy facilitated Privacy Officer training for the Office of the Australian Information Commissioner.
The program in detail
The course is broken into seven modules:
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.
Module 2: AI impacts and responsible 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.
Module 3: 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.
Module 4: 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.
Module 5: 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.
Module 6: Governing AI development
Explains considerations for planning, designing and building AI systems, including governing data collection and use in AI design and development.
Module 7: Governing AI deployment
Addresses best practices for the preparation and execution of AI deployment, as well as post-implementation activities.
