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

This instructor-led live training in Serbia (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 covers essential 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 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 want 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 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 introduces a comprehensive regulatory framework that sets out specific obligations for organizations involved in building, deploying, or managing 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 establish, assess, and sustain AI governance programs in alignment with the EU AI Act.

Upon completing this course, participants will be able to:

• Interpret regulatory requirements and align them with internal control measures.
• Create necessary documentation, establish governance structures, and design compliance workflows.
• Evaluate AI-related risks, monitor systems, and conduct regular 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.
• Interactive workshop sessions dedicated to risk analysis and audit preparation.

Customization Options

• The course content can be tailored to suit the specific sector, regulatory exposure, and AI maturity level of your organization.

This course provides a technical, hands-on approach to implementing the engineering controls, observability, and automation necessary to satisfy EU AI Act compliance requirements.

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

Upon completion, participants will be capable of:

• Designing CI/CD pipelines that include governance checks and automated tests to prevent prohibited practices.
• Setting up logging, monitoring, and audit trails to generate compliance evidence.
• Applying technical mitigations for high-risk behaviors and configuring runtime safeguards.
• Preparing the technical documentation and artifacts needed 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 creating documentation and audit artifacts.

Customization Options

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

The EU AI Act establishes a regulatory framework aimed at guaranteeing the trustworthy, secure, and transparent deployment of AI systems.

This instructor-led live training, available either online or onsite, targets beginner to intermediate-level managers seeking to grasp the organisational obligations, governance expectations, 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 framework.
• Define strategic priorities and investment areas to facilitate compliance.
• Establish governance structures, define accountability lines, and implement oversight mechanisms.
• Communicate obligations, risks, and expectations across various business units.

Course Format

• Instructor-led presentations supplemented by relevant 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 suit your organisation'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.