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Duration 7 hours
Course Outline
Welcome and Opening Remarks
Basics of Artificial Intelligence
- Definitions and core functions of AI
- Distinguishing between Machine Learning, Neural Networks, and other AI technologies
- Real-world application sectors
Regulatory Framework
- The EU AI Act and its national adoption
- The General Data Protection Regulation (GDPR) in the context of AI
- Liability considerations regarding AI systems
Ethical and Social Dimensions
- Addressing bias and discrimination within AI
- Ensuring transparency and traceability
- Corporate accountability in AI deployment
Technical Proficiency
- Introduction to data analytics and machine learning principles
- Foundational understanding of algorithms and data processing
- Hands-on usage of AI tools and platforms
Risk Governance
- Identifying and evaluating potential risks
- Strategies to mitigate errors and misuse
- Ongoing monitoring and periodic review of AI systems
Requirements
- No prior experience required
Target Audience
- Enterprises that create, deploy, or utilize AI systems or tools
- Suppliers and operators of high-risk AI systems
- Organizations handling personal data for AI-based applications
Testimonials (2)
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt