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

This instructor-led, live training in Brazil (online or onsite) is designed for intermediate-level AI professionals, business leaders, and compliance officers who wish to understand and implement ethical practices in AI systems. The course explores key ethical frameworks, regulatory standards such as 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:

• Comprehend 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, the EU AI Act, and sector standards) directly into prompts.
• Co-build a prompt library that is validated, shared, and governed by all teams.
• Define sustainable governance practices: establishing the Prompt Curator role, naming conventions, versioning protocols, and quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, and a 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 live, instructor-led training in Brazil guides beginner end users through EU AI Act compliance. It covers how to identify prohibited practices, adhere to safe-use policies, report incidents effectively, and document basic evidence. Participants will gain practical skills for everyday AI interactions in the workplace.

This live training in Brazil supports intermediate governance, compliance, and risk experts in constructing AI programs that satisfy EU AI Act standards. The session addresses interpreting regulatory duties, building governance workflows, evaluating risks, and ensuring audit readiness through practical, hands-on activities.

This hands-on training in Brazil empowers IT professionals with the engineering controls necessary for EU AI Act compliance. Gain the skills to design secure CI/CD pipelines, implement observability, and produce audit-ready evidence. Ideal for teams seeking practical, technical compliance strategies.

This instructor-led training in Brazil assists managers in understanding their obligations under the EU AI Act, governance requirements, and strategic implications. Participants will learn to define priorities, establish accountability, communicate risks, and develop governance structures to ensure 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 objectives turn software / AI engineers into legal engineers — the people who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants build the full core stack: ingest and extract messy real-world legal data, search and retrieve it, add retrieval-augmented generation (RAG) with citations, keep it private on a local model and prove it, run a defensible AI review with court-ready metrics, and package the result for deployment.