Responsible AI Ethics and Data Practice

Descripción

This course focuses on the ethical and data governance dimensions of AI deployment. You’ll apply Microsoft’s six Responsible AI principles to score new use cases, detect and escalate bias in model outputs, vet third-party datasets for ethical sourcing, and classify and monitor data assets to enforce retention and quality standards. This course bridges technical controls with ethical decision-making at the managerial level. Some familiarity with AI model concepts is helpful. By the end of this course, you will be able to assess ethical AI risks, justify mitigation decisions, evaluate data quality and lineage, and produce governance documentation suitable for responsible AI review, audit preparation, and deployment approval.