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

This instructor-led live training in Turkey (online or onsite) targets intermediate-level AI professionals, business leaders, and compliance officers seeking to understand and implement ethical practices in AI systems. The course addresses 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-specific 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 protocols, and quality metrics.
• Leave with concrete deliverables: Library v1.0, a Governance Charter, and a 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops for Architects, Developers, QA, and Team Leaders.
• Facilitated co-construction led by an architect-consultant, allowing participants to build real, operational deliverables.
• Clarification that 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 is a regulatory framework that sets rules for the development, deployment, and use of AI systems within the EU and for services offered to EU users.

This instructor-led, live training (online or onsite) is aimed at beginner-level end users who wish to understand their obligations and safe practices under the EU AI Act.

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

• Identify prohibited AI practices under Article 4 and recognise examples in workplace systems.
• Follow organisational policies and safe-use procedures when interacting with AI systems.
• Report incidents, biases, or unexpected model behaviour 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 organisation’s AI inventory, policies, and reporting channels.

The EU AI Act represents a comprehensive regulatory framework that imposes specific obligations on organizations involved in building, deploying, or managing artificial intelligence systems.

This live, instructor-led training, available both online and on-site, is designed for intermediate-level professionals in governance, compliance, and risk management who aim to establish, assess, and sustain AI governance programs in alignment with the EU AI Act.

Upon completing this course, participants will be equipped to:

• Interpret regulatory requirements and align them with internal control measures.
• Create necessary documentation, governance structures, and compliance workflows.
• Evaluate AI risks, monitor system performance, 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 documentation.
• Workshop-style activities designed for risk analysis and audit preparation.

Customization Options

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

This technical, hands-on programme demonstrates how to implement the engineering controls, observability, and automation necessary to meet EU AI Act compliance obligations.

Designed for intermediate-level IT professionals, this instructor-led live training (available online or onsite) focuses on implementing secure, auditable pipelines and runtime safeguards to demonstrate compliance with Article 4 and related requirements.

Upon completion of 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 generate compliance evidence.
• Apply technical mitigations for high-risk behaviours and configure runtime safeguards.
• Prepare the technical documentation and artifacts required for conformity assessments and audits.

Course Format

• Technical lectures featuring 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 artifacts.

Customization Options

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

The EU AI Act establishes a regulatory framework aimed at ensuring that artificial intelligence systems are deployed in a manner that is trustworthy, safe, and transparent.

This live, instructor-led training—available either online or on-site—is tailored for managers at beginner and intermediate levels who seek to comprehend the organizational obligations, governance expectations, and strategic impacts 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 framework.
• Define strategic priorities and investment areas to facilitate compliance.
• Establish robust governance structures, clear accountability lines, and oversight mechanisms.
• Effectively communicate obligations, risks, and expectations across all business units.

Course Format

• Instructor-led presentations complemented by real-world case studies.
• Interactive group discussions and scenario-based decision-making exercises.
• Practical exercises centered on governance planning and documentation.

Customization Options

• The curriculum can be adapted to fit your organization’s specific 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.