Trainings & Workshops
Welcome to Nemko Digital’s AI training programs on governance, regulations, standards, and ethics. Our curriculum covers 6 main blocks to help you excel in responsible AI management.
Our trainings and workshops are tailored for organizations looking to deepen their knowledge of AI, its regulations, standards, governance, applications in products, and ethics. Responsible AI innovation demands a thorough understanding of the technology and its regulatory landscape. Stay ahead by keeping up with the latest developments.
Fundamentals of AI and AI Policy
This foundational block provides essential principles and practices crucial for understanding the basics of AI, AI governance, ethics, regulations, and standards. How does AI work, and how will it be regulated?
Deep Dive into AI Regulation
This block offers in-depth sessions covering the AI regulatory landscape, with in-depth discovery sessions focusing on the EU AI Act and NIST’s Risk Management Framework 1.0. On demand, this block will also cover in depth sessions of other major AI regulations.
Deep Dive into AI Governance
Building on the foundational knowledge, this block offers in-depth sessions covering aspect of AI governance i.e. AI policy design, risk management, data management, roles and responsibilities, third-party management, and transparency.
Deep Dive into AI Standards
This block offers in-depth sessions covering specific international AI standards that ensure the safe, effective, and ethical deployment of AI systems, including ISO/IEC 42001, ISO/IEC 24027 and more.
AI embedded in Products
Explore how evolving regulations like the AI Act and GPSR impact AI embedded in physical products, and how product legislation is changing to accommodate AI development. Learn to address compliance challenges, integrate trustworthy AI principles, and align product design with safety and regulatory standards for responsible innovation.
AI in the Workplace
Delve into the ethical use of AI through real-world case studies and practical insights. Learn how to navigate challenges and harness generative AI responsibly in the workplace, maximizing opportunities while minimizing risks for responsible implementation.