EU AI Act Compliance for Management and Leadership Training Course

This instructor-led live training in Vietnam (available online or onsite) is tailored for intermediate-level AI professionals, business leaders, and compliance officers who aim to understand and implement ethical practices in AI systems. The course delves into 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.

Artificial Intelligence (AI) and Machine Learning (ML) are technologies advancing at a rapid pace, bringing substantial implications for data governance and organizational compliance.

This instructor-led live training, available online or onsite, is designed for intermediate-level professionals in governance, privacy, and compliance. It aims to help them understand how to establish robust information governance practices within environments that utilize AI and machine learning.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts of AI and machine learning within the context of information governance.
• Recognize common deployment areas for AI/ML in organizations and identify associated Information Governance (IG) risks.
• Assess how AI/ML interacts with Data Protection Principles, records management, and data quality standards.
• Utilize Data Protection Impact Assessments (DPIAs), governance frameworks, and risk mitigation strategies in AI/ML projects.

Course Format

• Interactive lectures and discussions.
• Analysis of real-world case examples and frameworks.
• Group activities and guided walkthroughs of relevant documents.

Customization Options

• To request a customized training session for this course, please contact us to arrange it.

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 structures: Prompt Curator role, naming conventions, versioning, and quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, and a 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 serves as a regulatory framework establishing rules for the development, deployment, and utilization of AI systems within the EU, as well as for services provided to EU users.

This instructor-led, live training (available online or onsite) is designed for beginner-level end users seeking to understand their obligations and 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.
• Follow organizational policies and safe-use procedures when interacting with AI systems.
• Report incidents, biases, or unexpected model behavior through the correct channels.
• Document 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 represents a comprehensive regulatory framework that sets forth specific obligations for organizations engaged in building, deploying, or managing artificial intelligence systems.

This instructor-led live training—available both online and onsite—is designed for intermediate-level governance, compliance, and risk professionals who aim to establish, evaluate, and sustain AI governance programs that align with the requirements of the EU AI Act.

Upon completing this course, participants will be equipped to:

• Interpret regulatory requirements and map them to internal controls.
• Create necessary documentation, governance structures, and compliance workflows.
• Evaluate AI risks, monitor systems, and conduct ongoing compliance assessments.
• Prepare the organization for both 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 dedicated to risk analysis and audit preparation.

Course Customization Options

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

This course provides a practical, technical program demonstrating how to implement the engineering controls, observability, and automation necessary to fulfill EU AI Act compliance requirements.

Designed as an instructor-led live training (available online or onsite), this program targets intermediate IT professionals who aim to establish secure, auditable pipelines and runtime safeguards to demonstrate adherence to Article 4 and associated obligations.

Upon completion of this training, participants will be capable of:

• Designing CI/CD pipelines that embed governance checks and automated tests to prevent prohibited practices.
• Implementing logging, monitoring, and audit trails to generate verifiable compliance evidence.
• Applying technical mitigations for high-risk behaviors and configuring runtime safeguards.
• Preparing the technical documentation and artifacts required 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 aimed at producing documentation and audit-ready artifacts.

Customization Options

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

Delegates will learn how to

• The AIGP training teaches how to develop, integrate, and deploy trustworthy AI systems in alignment 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 relevant topics.
• Establish a foundational understanding of AI systems, their use cases, the impact of AI, and the principles of responsible AI.
• Demonstrate comprehension of how current and emerging laws apply to AI systems, and how major frameworks can be effectively governed.
• Show understanding of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
• Present awareness of unforeseen concerns related to AI and knowledge of debated issues surrounding AI governance.
• This training covers critical AI governance concepts that are also integral to the AIGP certification exam. While not strictly a "test prep" course, this training is suitable for professionals planning to certify, as well as those looking to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.