Implementing a Data Strategy for Responsible AI

Implementing a Data Strategy for Responsible AI
Released: 4/1/2025
Duration: 1h 30m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 146 MB

This course provides an in-depth understanding of the data considerations, implications and issues commonly observed throughout the AI product development lifecycle. Instructor Brandeis Marshall takes you through the iterative process of moving from a business problem to an AI solution that solves that problem. Explore data organization tactics, data quality and diversity needs, continuous data updating approaches and data security/privacy essentials. Learn to identify key features and functionalities of existing generative AI tools to support and enhance responsible data and AI activities.

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