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

This instructor-led, live training in Italy (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 six layers: Role, Context, Constraints, Domain Standards, Format, and Examples.
• Encode business, security, and compliance constraints (such as GDPR, EU AI Act, and sector standards) directly into prompts.
• Co-create a prompt library that is validated, shared, and governed by all teams.
• Define sustainable governance frameworks, including the Prompt Curator role, naming conventions, versioning, and quality metrics.
• Depart with concrete deliverables: Library v1.0, Governance Charter, and a 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops involving Architects, Developers, QA, and Team Leaders.
• Facilitated co-construction led by an architect-consultant: participants build real, operational deliverables.
• All co-created 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 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.
• 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 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 introduces a comprehensive regulatory framework that sets out specific obligations for organizations involved in building, deploying, or overseeing AI systems.

This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals in governance, compliance, and risk management who aim to create, 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 map them to internal controls.
• Develop necessary documentation, governance mechanisms, and compliance workflows.
• Assess AI-related risks, monitor systems, and conduct ongoing compliance checks.
• Prepare the organization for both internal and external audits under the EU AI Act.

Course Format

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

Course Customization Options

• The course content can be tailored to fit the organization’s sector, level of regulatory exposure, and maturity in AI adoption.

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 is a regulatory framework designed to ensure the trustworthy, safe, and transparent deployment of AI systems.

This instructor-led, live training (available online or onsite) is aimed at beginner-level and intermediate-level managers who wish to understand organisational obligations, governance expectations, and strategic implications of aligning with the EU AI Act.

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

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

Format of the Course

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

Course Customization Options

• The curriculum can be adapted to your organisation’s sector, maturity level, and governance model.

Delegates will learn how to

• Apply the knowledge gained from AIGP training to develop, integrate, and deploy trustworthy AI systems in alignment with emerging laws and policies. The curriculum offers 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.
• Master 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.