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

This instructor-led live training in Vietnam (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 delves into 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-build 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 targeting Architects, Developers, QA specialists, and Team Leaders.
• Facilitated co-construction led by an architect-consultant, enabling participants to build real, operational deliverables.
• All co-built deliverables remain the sole property of 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 Vietnam guides beginner end users through EU AI Act compliance. Learn to identify prohibited practices, adhere to safe-use policies, report incidents effectively, and document basic evidence. Participants will acquire practical skills for daily interactions with AI in the workplace.

This live training on Vietnam empowers intermediate governance, compliance, and risk professionals to create AI programs that comply with the EU AI Act. The course addresses interpreting obligations, establishing governance workflows, assessing risks, and audit preparation through practical exercises.

This practical training in Vietnam empowers IT professionals with the engineering controls required for EU AI Act compliance. Participants will learn to design secure CI/CD pipelines, implement robust observability, and generate audit-ready evidence, offering a practical technical strategy for teams.

This instructor-led training in Vietnam empowers managers to navigate EU AI Act obligations, governance requirements, and strategic impacts. Learners will acquire the skills to set priorities, define accountability chains, communicate risk profiles, and establish compliance-ready governance structures.

Delegates will learn how to

• The AIGP training teaches how to develop, integrate, and deploy trustworthy AI systems in alignment 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 relevant topics.
• Establish a foundational understanding of AI systems, their use cases, the impact of AI, and the principles of responsible AI.
• Demonstrate comprehension of how current and emerging laws apply to AI systems, and how major frameworks can be effectively governed.
• Show understanding of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
• Present awareness of unforeseen concerns related to AI and knowledge of debated issues surrounding AI governance.
• This training covers critical AI governance concepts that are also integral to the AIGP certification exam. While not strictly a "test prep" course, this training is suitable for professionals planning to certify, as well as those looking to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.

Course objectives transform software / AI engineers into legal engineers — the professionals who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants will construct 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.