Governance of Artificial Intelligence - AI Course
Master AI governance frameworks to ensure ethical, compliant, and strategic AI deployment across your organisation. LBTA offers Governance of Artificial Intelligence - AI Course in Artificial Intelligence - AI Training Courses.
Upcoming schedule
| Venue | Starts | Ends | Net fees | Book |
|---|---|---|---|---|
| Amsterdam, Netherlands | 5-Jul-2026 | 9-Jul-2026 | 8,100 GBP | Register |
| Barcelona, Spain | 5-Jul-2026 | 9-Jul-2026 | 6,950 GBP | Register |
| Interlaken, Switzerland | 5-Jul-2026 | 9-Jul-2026 | 8,950 GBP | Register |
| Istanbul, Turkey | 5-Jul-2026 | 9-Jul-2026 | 4,700 GBP | Register |
| Kuala Lumpur, Malaysia | 5-Jul-2026 | 9-Jul-2026 | 4,750 GBP | Register |
| Madrid, Spain | 5-Jul-2026 | 9-Jul-2026 | 6,950 GBP | Register |
| Milan, Italy | 5-Jul-2026 | 9-Jul-2026 | 6,950 GBP | Register |
| New York, United States | 5-Jul-2026 | 9-Jul-2026 | 10,900 GBP | Register |
| Taipei, Taiwan | 5-Jul-2026 | 9-Jul-2026 | 9,300 GBP | Register |
| Tokyo, Japan | 5-Jul-2026 | 9-Jul-2026 | 9,750 GBP | Register |
| Berlin, Germany | 12-Jul-2026 | 16-Jul-2026 | 7,900 GBP | Register |
| Geneva, Switzerland | 12-Jul-2026 | 16-Jul-2026 | 8,950 GBP | Register |
Course syllabus
Introduction
As Artificial Intelligence becomes integral to business operations, organizations must establish robust governance frameworks to manage risks, ensure ethical practices, and comply with regulations. This course provides a comprehensive understanding of AI governance, enabling professionals to lead responsible AI initiatives.
Objectives
- Understand the principles and importance of AI governance
- Identify and manage risks associated with AI implementations
- Develop ethical frameworks for responsible AI use
- Ensure compliance with emerging AI regulations
- Integrate AI governance into organizational strategy
5-Day Course Outline
Day 1: Foundations of AI Governance
- Introduction to AI and its impact on governance
- Core principles of AI governance
- Understanding the AI lifecycle and associated risks
- Stakeholder roles and responsibilities in AI oversight
Day 2: Risk Management in AI
- Identifying potential risks in AI systems
- Risk assessment methodologies for AI projects
- Implementing controls to mitigate AI-related risks
- Case studies on AI risk management failures and successes
Day 3: Ethical Considerations in AI
- Exploring ethical dilemmas in AI applications
- Developing ethical guidelines for AI use
- Ensuring fairness, transparency, and accountability
- Building trust in AI systems among stakeholders
Day 4: Regulatory Compliance and Standards
- Overview of global AI regulations and standards
- Aligning AI practices with legal requirements
- Data privacy and protection in AI systems
- Preparing for audits and regulatory reviews
Day 5: Integrating AI Governance into Business Strategy
- Designing an AI governance framework for your organization
- Aligning AI initiatives with corporate objectives
- Monitoring and continuous improvement of AI governance
- Developing an action plan for implementing AI governance