Advanced Certificate in Data Management for Artificial Intelligence, Sustainability, and Data-Driven Innovation Module 7: Regenerative Artificial Intelligence and Ethics, Data Literacy and Democratisation
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2023038786
S$300
Original: S$1,000
Save S$700
About This Course
At the end of the 1-day module, participants will be able to:
• Delve into the latest advancements in artificial intelligence (AI) and generative AI techniques, and understand their implications and challenges
• Learn to leverage the power of AI and generative AI while maintaining a strong emphasis on data quality and holistic data management
• Identify and mitigate potential risks and data breaches
What You'll Learn
Artificial Intelligence (AI) is becoming more pervasive in our daily lives and creating a huge impact across industries and organisations. In Module 7, participants will uncover the new advances in AI and generative AI and the relevance of a holistic data management for AI initiatives. Data quality is crucial in delivering accurate and meaningful insights, hence, minimising the risk of bias and errors in AI models, data governance and AI initiatives. They will gain an understanding of a robust data management that ensures proper data governance, including access controls, data security, and compliance with privacy regulations thus mitigating potential risks and data breaches.
Entry Requirements
Participants should have a foundational understanding of data concepts and terminologies, including data quality, data governance, and data integration.
Course Details
Back to All Courses
Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
More Courses from SINGAPORE MANAGEMENT UNIVERSITY
In today’s rapidly evolving technological landscape, the emphasis on digital transformation is mor...
This certificate programme is designed for non-technical professionals who want to develop data visu...
This programme covers the operational aspects of data protection and information security. It seeks ...