Artificial Intelligence and Machine Learning: How to Implement Good Information Governance Training Course

This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level AI professionals, business leaders, and compliance officers who wish to understand and implement ethical practices in AI systems. The course covers key ethical frameworks, regulatory standards like the EU AI Act, and practical techniques for auditing AI systems to mitigate bias and enhance transparency.

By the end of this training, participants will be able to:

• Understand core principles of responsible AI, including fairness, accountability, and transparency.
• Identify and mitigate biases within AI systems.
• Implement ethical frameworks and conduct AI audits for compliance.
• Apply governance strategies to manage ethical risks in AI deployment.

By the end of this training, participants will be able to:

• Master enterprise prompt architecture across 6 layers (Role, Context, Constraints, Domain Standards, Format, Examples).
• Encode business, security and compliance constraints (GDPR, EU AI Act, sector standards) directly into prompts.
• Co-build a prompt library validated, shared and governed by all teams.
• Define sustainable governance: Prompt Curator role, naming conventions, versioning, quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction by an architect-consultant: participants build real, operational deliverables.
• All co-built deliverables belong entirely to the client organisation.

Course customisation options

• To request a customised version of this training, please contact us to make the
  necessary arrangements.

This instructor-led, live training in Australia guides beginner end users through EU AI Act compliance. Learn to identify prohibited practices, follow safe-use policies, report incidents effectively, and document simple evidence. Participants gain practical skills for daily workplace AI interactions.

This live training on Australia supports intermediate governance, compliance, and risk professionals in developing AI programs that comply with the EU AI Act. It covers interpreting obligations, creating governance workflows, assessing risks, and preparing for audits through hands-on exercises.

This hands-on training in Australia equips IT professionals with the engineering controls essential for EU AI Act compliance. Learn to design secure CI/CD pipelines, implement observability, and generate audit-ready evidence. Ideal for teams seeking practical, technical compliance strategies.

This instructor-led course in Australia is designed to help managers navigate EU AI Act obligations, governance requirements, and strategic implications. Learners will gain the ability to define priorities, establish accountability lines, communicate risks, and construct governance frameworks to ensure compliance.

Delegates will learn how to

• 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, a 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.

Course objectives turn software and AI engineers into legal engineers—professionals capable of constructing AI solutions for legal work (eDiscovery, review, investigations).

Over two days, participants build the full core stack: ingest and extract messy real-world legal data, search and retrieve it, add retrieval-augmented generation (RAG) with citations, keep it private on a local model and prove it, run a defensible AI review with court-ready metrics, and package the result for deployment.