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

This instructor-led, live training in South Korea (online or onsite) targets 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 that is 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 organization.

Course customization options

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

The EU AI Act establishes a regulatory framework governing the development, deployment, and utilization of AI systems within the EU, as well as services provided to EU users.

This instructor-led live training, available online or onsite, is designed for beginner-level end users who wish to understand their obligations and adopt safe practices under the EU AI Act.

Upon completing this training, participants will be able to:

• Identify prohibited AI practices under Article 4 and recognize examples in workplace systems.
• Adhere to organizational policies and safe-use procedures when interacting with AI systems.
• Report incidents, biases, or unexpected model behavior through the correct channels.
• Document the simple compliance evidence required by supervisors or auditors.

Format of the Course

• Interactive presentations with plain-language explanations of legal requirements.
• Role-specific exercises and realistic workplace scenarios.
• Guided practice in reporting incidents and completing simple compliance checklists.

Course Customization Options

• Content can be tailored to reflect your organization’s AI inventory, policies, and reporting channels.

The EU AI Act serves as a comprehensive regulatory framework that outlines the obligations for organizations involved in building, deploying, or managing AI systems.

This instructor-led training session, available both online and onsite, is designed for intermediate-level professionals in governance, compliance, and risk management who aim to develop, assess, and sustain AI governance programs aligned with the EU AI Act.

Upon completing this course, participants will be equipped to:

• Interpret regulatory requirements and align them with internal controls.
• Create documentation, governance structures, and compliance workflows.
• Evaluate AI risks, monitor system performance, and conduct ongoing compliance reviews.
• Prepare organizations for internal and external audits mandated by the EU AI Act.

Course Format

• Regulatory briefings supported by real-world case studies.
• Practical exercises focused on mapping controls and drafting compliance documents.
• Workshop-style sessions for risk analysis and audit preparation.

Customization Options

• The course content can be tailored to reflect the organization’s industry, regulatory exposure, and current AI maturity level.

This course offers a technical, hands-on approach to implementing the engineering controls, observability mechanisms, and automation necessary to fulfill the compliance obligations mandated by the EU AI Act.

Delivered as instructor-led live training (available online or onsite), this program targets intermediate-level IT professionals aiming to establish secure, auditable pipelines and runtime safeguards that demonstrate adherence to Article 4 and related regulatory requirements.

Upon completion of this training, participants will be equipped to:

• Design CI/CD pipelines that embed governance checks and automated tests to identify prohibited practices.
• Implement logging, monitoring, and audit trail systems to generate verifiable compliance evidence.
• Apply technical mitigations for high-risk behaviors and configure robust runtime safeguards.
• Prepare the technical documentation and artifacts essential for conformity assessments and audits.

Course Format

• Technical lectures supported by architecture diagrams and live demonstrations.
• Hands-on labs focused on building CI/CD pipelines and monitoring stacks.
• Practical exercises designed to produce documentation and audit-ready artifacts.

Course Customization Options

• Content can be customized to align with your organization’s specific toolchain, cloud provider, and internal compliance workflows.

The EU AI Act serves as a regulatory framework aimed at ensuring the trustworthy, secure, and transparent implementation of artificial intelligence systems.

This instructor-led, live training, available online or onsite, is designed for beginner to intermediate-level managers seeking to grasp the organizational obligations, governance standards, and strategic implications of aligning with the EU AI Act.

Upon completing this course, participants will be equipped to:

• Interpret the requirements of the EU AI Act within a management context.
• Define strategic priorities and investment areas to facilitate compliance.
• Establish governance structures, accountability lines, and oversight mechanisms.
• Communicate obligations, risks, and expectations across various business units.

Course Format

• Instructor-led presentations supplemented by case studies.
• Group discussions and scenario-based decision-making exercises.
• Practical exercises focused on governance planning and documentation.

Customization Options

• The curriculum can be tailored to your organization’s industry, maturity level, and governance model.

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 a foundational understanding of AI systems, their use cases, the impacts of AI, and the principles of responsible AI.
• Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks can be responsibly governed.
• Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
• Demonstrate 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.