courseraIT и технологии

Responsible AI with AWS Security and Governance

Курс от LearnKartS

Средний≈ 7 чАнглийский

О курсе

Master Responsible AI with AWS: A Security and Governance Learning Experience. In today's AI-driven world, creating intelligent systems is not enough; they must also be secure, ethical, and accountable. This course teaches you how to master responsible AI techniques with AWS technologies geared for governance, fairness, and compliance. Through real-life situations and hands-on activities, you'll learn about the fundamental concepts of responsible AI, the legal risks associated with generative AI, and how to apply model guardrails to ensure explainability and fairness. But this course doesn't just teach responsible AI in theory—it shows you how to secure it in practice. You'll work with key AWS services like Amazon Guardrails, Macie, and A2I, and implement IAM policies, data encryption, and compliance frameworks to protect your AI models at every stage. Designed for learners preparing for the AWS Certified AI Practitioner exam, this course is ideal for those with prior knowledge of AI/ML and AWS Cloud Fundamentals. By the end, you'll be equipped to design AI solutions that are not only smart but also safe, ethical, and trusted.

Навыки, которые вы освоите

Data Security Responsible AI AI Security Data Governance AWS Identity and Access Management (IAM)Identity and Access Management Risking Artificial Intelligence Generative AI Cloud Security Encryption Public Cloud Data Ethics Amazon Web Services Role-Based Access Control (RBAC)AWS SageMaker Governance MLOps (Machine Learning Operations)AI literacy

Программа курса

2 модулей · 61 учебных материалов

01Understanding Responsible AI26 материалов

Foundations of Responsible AI and Governance

Course IntroductionВидео Learning ObjectivesВидео Introduction to Responsible AIВидео Principles of Responsible AIВидео

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LearnKartS

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