Artificial intelligence is evolving at a pace that outstrips the regulatory frameworks intended to manage it. Consequently, organizations are increasingly tasked with navigating a complex terrain where legislation, technical governance, and practical application intersect. The AI Regulation and Compliance course steps in to address this challenge, converting intricate regulatory frameworks into operational, measurable, and practical solutions for professionals who rely on AI daily.
Our instructor-led live training aligns with the dynamics of contemporary governance, covering risk classification, transparency mandates, data-handling standards, human oversight requirements, and the shifting duties of deployers, providers, and end users. Participants explore how regulations such as the EU AI Act, ISO/IEC 42001, NIST AI RMF, and emerging national regulatory models influence everyday decisions, spanning from procurement and design to frontline implementation.
Online live training facilitates these concepts through an interactive remote desktop, providing teams with the environment to test documentation workflows, evaluate compliance scenarios, and practice governance tasks in a controlled setting.
Onsite sessions in Nepal, whether held at customer locations or within NobleProg training centers, integrate regulatory concepts directly into the physical workplace. This approach enables participants to map obligations onto existing processes, industry-specific requirements, and organizational culture.
Also referred to as AI Governance, AI Compliance, or AI Regulatory Readiness, this course track equips professionals to interpret regulatory obligations, mitigate risk exposure, and align organizational AI usage with the rapidly changing legal landscape.
NobleProg — Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
The EU AI Act serves as a comprehensive regulatory framework that outlines the responsibilities for organisations involved in building, deploying, or managing AI systems.
This instructor-led live training, available online or onsite, is designed for intermediate-level professionals in governance, compliance, and risk management who aim to establish, evaluate, and sustain AI governance programmes aligned with the EU AI Act.
Upon completing this course, participants will be able to:
Understand regulatory requirements and align them with internal controls.
Create necessary documentation, governance structures, and compliance workflows.
Evaluate AI risks, monitor systems, and conduct ongoing compliance checks.
Prepare the organisation for internal and external audits as 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 documents.
Workshop-style sessions for risk analysis and audit preparation.
Customization Options
The course can be tailored to the organisation’s specific sector, regulatory exposure, and level of AI maturity.
The EU AI Act serves as a regulatory framework intended to guarantee the trustworthy, secure, and transparent implementation of artificial intelligence systems.
This instructor-led training session, available online or onsite, is tailored for managers at beginner and intermediate levels who seek to comprehend their organization's obligations, governance expectations, and the 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 context.
Define strategic priorities and investment areas to support compliance efforts.
Establish governance structures, accountability lines, and oversight mechanisms.
Effectively communicate obligations, risks, and expectations across various business units.
Course Format
Instructor-led presentations complemented by real-world case studies.
Group discussions and scenario-based decision-making activities.
Practical exercises focusing on governance planning and documentation.
Course Customization Options
The curriculum can be customized to suit your organization’s sector, maturity level, and governance model.
This course offers a technical, hands-on programme demonstrating 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 adherence to Article 4 and related requirements.
Upon completing this training, participants will be able to:
Design CI/CD pipelines that integrate governance checks and automated tests to identify prohibited practices.
Implement logging, monitoring, and audit trails to generate evidence of compliance.
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 practical demonstrations.
Hands-on labs focused on building CI/CD pipelines and monitoring stacks.
Practical exercises aimed at producing necessary documentation and audit artifacts.
Customization Options
Content can be tailored to your organisation's specific toolchain, cloud provider, and internal compliance workflows.
The EU AI Act establishes a regulatory framework governing the development, deployment, and utilization of AI systems within the EU, as well as for services provided to EU-based users.
This instructor-led live training, available both online and onsite, is designed for beginner-level end users who wish to comprehend their obligations and adhere to safe practices under the EU AI Act.
Upon completing this training, participants will be able to:
Identify prohibited AI practices under Article 4 and recognize examples within workplace systems.
Adhere to organizational policies and safe-use procedures when interacting with AI systems.
Report incidents, biases, or unexpected model behavior through the appropriate channels.
Document basic compliance evidence required by supervisors or auditors.
Course Format
Interactive presentations featuring 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.
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly evolving technologies that carry significant implications for data governance and organizational compliance.
This instructor-led live training (available online or onsite) targets intermediate-level governance, privacy, and compliance professionals seeking to understand how to establish robust information governance practices within AI and machine learning environments.
Upon completion of this training, participants will be able to:
Grasp the core concepts of AI and machine learning within the context of information governance.
Identify common deployment areas for AI/ML in organizations and associated information governance risks.
Assess how AI/ML interacts with Data Protection Principles, records management, and data quality standards.
Apply Data Protection Impact Assessments (DPIAs), governance frameworks, and risk mitigation strategies to AI/ML initiatives.
Course Format
Interactive lectures and discussions.
Real-world case studies and framework analysis.
Group activities and guided document walkthroughs.
Customization Options
To arrange customized training for this course, please contact us.
This instructor-led, live training in Nepal (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 covers 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.
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.
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