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.

This instructor-led, live training in Serbia guides beginner end users through EU AI Act compliance. Participants will learn to identify prohibited practices, adhere to safe-use policies, report incidents effectively, and document simple evidence. The course builds practical skills for daily workplace interactions with AI.

This live training in Serbia empowers intermediate governance, compliance, and risk professionals to construct AI programs aligned with the EU AI Act. The curriculum encompasses interpreting regulatory obligations, establishing governance workflows, evaluating risks, and preparing for audits through practical, hands-on exercises.

This hands-on training in Serbia empowers IT professionals with the engineering controls essential for EU AI Act compliance. It guides you through designing secure CI/CD pipelines, implementing observability solutions, and generating audit-ready evidence. It is ideal for teams seeking practical, technical strategies to achieve compliance.

This instructor-led training in Serbia empowers managers to navigate EU AI Act obligations, governance requirements, and strategic consequences. Learners will gain the skills to set priorities, define accountability, communicate risks, and construct effective governance structures to ensure full compliance.

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.

Course goals focus on turning software and AI engineers into legal engineers—professionals who can effectively build AI for legal work, including eDiscovery, review, and investigations.

In two days, participants construct the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving it, adding retrieval-augmented generation (RAG) with citations, ensuring privacy through local models while proving integrity, running a defensible AI review with court-ready metrics, and packaging the result for deployment.