Responsible AI and AI Ethics Training Course

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

This instructor-led live training, available either online or on-site, is designed for intermediate-level professionals in governance, privacy, and compliance. It aims to equip them with the knowledge needed to establish robust information governance practices within AI and machine learning environments.

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

• Grasp the fundamental concepts of AI and machine learning within the scope of information governance.
• Recognize common deployment areas of AI/ML in organizations and the associated information governance risks.
• Assess the interaction between AI/ML systems and Data Protection Principles, records management, and data quality standards.
• Apply Data Protection Impact Assessments (DPIAs), governance frameworks, and risk mitigation strategies to AI/ML initiatives.

Course Format

• Interactive lectures coupled with discussions.
• Analysis of real-world case examples and governance frameworks.
• Collaborative group activities and guided document reviews.

Customization Options

• To request a tailored training session for this course, please reach out to us to arrange a consultation.

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 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 artificial intelligence systems within the EU, as well as for any services provided to EU-based users.

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

Upon completing this training, participants will be able to:

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

Format of the Course

• Interactive presentations featuring 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 constitutes a comprehensive regulatory framework that sets out obligations for organizations involved in building, deploying, or overseeing AI systems.

This instructor-led, live training (available online or onsite) targets intermediate-level governance, compliance, and risk professionals who aim to design, evaluate, and sustain AI governance programs aligned with the EU AI Act.

Upon completing this course, participants will be able to:

• Interpret regulatory obligations and map them to internal controls.
• Develop documentation, governance mechanisms, and compliance workflows.
• Assess AI risks, monitor systems, and perform ongoing compliance checks.
• Prepare the organisation for internal and external audits under the EU AI Act.

Format of the Course

• Regulatory briefings with real-world examples.
• Hands-on exercises in mapping controls and drafting compliance documents.
• Workshop-style activities for risk analysis and audit preparation.

Course Customization Options

• This course can be adapted to the organisation’s sector, regulatory exposure, and AI maturity level.

This course is a technical, hands-on programme that shows how to implement engineering controls, observability, and automation required to meet the EU AI Act compliance obligations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to implement secure, auditable pipelines and runtime safeguards to demonstrate compliance with Article 4 and related obligations.

After completing this training, participants will be able to:

• Design CI/CD pipelines that incorporate governance checks and automated tests for prohibited practices.
• Implement logging, monitoring, and audit trails to produce compliance evidence.
• Apply technical mitigations for high-risk behaviours and configure runtime safeguards.
• Prepare technical documentation and artifacts required for conformity assessments and audits.

Format of the Course

• Technical lectures with architecture diagrams and demonstrations.
• Hands-on labs building CI/CD pipelines and monitoring stacks.
• Practical exercises producing documentation and audit artifacts.

Course Customization Options

• Content can be tailored to your organisation’s toolchain, cloud provider, and internal compliance workflows.

The EU AI Act serves as a regulatory framework aimed at guaranteeing the trustworthy, safe, and transparent implementation of AI systems.

This instructor-led, live training session (available online or onsite) targets beginner to intermediate-level managers seeking to grasp the organizational obligations, governance expectations, and strategic implications of aligning with the EU AI Act.

Upon completing this course, participants will be equipped to:

• Interpret the EU AI Act’s requirements 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.

Format of the Course

• Instructor-led presentations enriched with case studies.
• Group discussions and scenario-based decision-making activities.
• Practical exercises centered on governance planning and documentation.

Course Customization Options

• The curriculum can be tailored to fit your organization’s sector, 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 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.