Get started with TÜV SÜD
Start your AI executive training journey with us.
What is AI training for executives?
AI executive training from TÜV SÜD comprises courses that give you a thorough understanding of AI technology, risks, regulations and standards, performance metrics, and industry best practices.
This AI course for leaders is relevant to C-suite Executive, Organisation Leaders, and anyone directly or indirectly involved in the decision-making process of developing or deploying AI. The knowledge you gain will allow you to implement AI in a responsible way across your organisation.
Why AI training for executives is important
AI executive training will help you become better at managing individual and organisational risks associated with AI technology. It will introduce you to the impact of AI regulations and standards. You will acquire knowledge about AI performance metrics and industry best practices.
All these will give you a better understanding of your roles, responsibilities, and liabilities pertaining to AI. You will be empowered to plan a trustworthy AI development strategy.
How TÜV SÜD can help you with AI training for executives
TÜV SÜD has deep expertise and competence in AI. We have an up-to-date understanding of all relevant existing and upcoming standards and regulations to expedite your adoption of AI and data quality.
Our experts who conduct our AI course for leaders are actively involved in standardisation, regulation, and practical implementation of AI quality management systems.
Inspiring trust in technology has been our DNA and has served us as a guiding principle since our inception. Translating this into today’s digital world, we ensure the safety, security, reliability, and robustness of AI systems.
What our AI training for executives services include
Our AI course for leaders covers the following topics:
1. Motivation
• Introduction to AI and the need for AI quality.
• Current and upcoming regulation of AI.
• Roles, responsibilities and liabilities.
2. AI quality framework to establish trust in AI and scale responsible AI applications
• Compliance of AI systems and services.
• Readiness of organisations as developer and adopter.
• Performance metrics and industry best practices.
• AI ethics (IEEE).
3. Path towards AI quality
• Skills and responsibilities – Train your AI leads and assign roles to implement AI quality.
• Assess your organisation’s AI quality readiness.
• Stepwise implementation of AI quality framework.
Class Size: Min 4 to Max 15
Course Duration: 2 hours
Mode of Delivery: Instructor-led Virtual Training, English
Frequency: Monthly
Executive training schedule
