Introduction to Multi-Modal Data Curation
This introductory course by NVIDIA's Deep Learning Institute (DLI) provides a comprehensive overview of multi modal data curation for AI applications. Participants will learn how to efficiently collect, organize, and process diverse datasets including text, images, and audio to build high quality AI training data and improve model performance.
Who Should Take This Course:
Data scientists, AI engineers, and researchers interested in creating robust multi modal datasets for AI projects. No prior coding experience is required.
What You Will Learn:
• Fundamentals of multi modal data curation
• Techniques for cleaning and preprocessing diverse datasets
• Best practices for organizing and managing large scale AI data
• How to improve AI model performance using curated multi modal datasets
Why This Course Matters:
High quality, well curated data is essential for training effective AI models. This course equips learners with the skills to manage and optimize multi modal datasets, enabling better model accuracy and more reliable AI applications.