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AWS Certified AI Practitioner (AIF-C01): Guidelines for Responsible AI

Learn the essentials of building responsible AI systems. This course will teach you how to develop AI models that prioritize fairness and ethics, with a focus on creating transparent and explainable solutions for trustworthy AI applications.

Noreen Hasan - Pluralsight course - AWS Certified AI Practitioner (AIF-C01): Guidelines for Responsible AI
by Noreen Hasan

What you'll learn

AI systems need to be fair, transparent, and trustworthy to support responsible decision-making. In this course, AWS Certified AI Practitioner (AIF-C01): Guidelines for Responsible AI, you’ll learn the concepts needed to pass the AWS Certified AI Practitioner’s Guidelines for Responsible AI domain. First, you’ll explore how to identify and mitigate biases in AI development. Next, you’ll discover tools like Guardrails in Amazon Bedrock to ensure fairness and safety in model outputs. Finally, you’ll learn how to create transparent and explainable models, enhancing user trust. When you’re finished with this course, you’ll have the skills and knowledge of responsible AI development needed to build fair, transparent, and ethical AI systems.

Table of contents

About the author

Noreen Hasan - Pluralsight course - AWS Certified AI Practitioner (AIF-C01): Guidelines for Responsible AI
Noreen Hasan

Noreen Hasan has been a software engineer for over a decade in several industries ranging from startups to financial institutions. Her focus was on iOS mobile development, and in the last years her focus shifted to AWS and cloud computing. Her mantra has always been 'Building to Solve, Building to Empower' because solving problems and empowering others is the main reason she feels fulfilled in this field. When she is not developing technical solutions, she enjoys swimming, Zumba, reading and listening to podcasts.

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