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Responsible AI Practices

In this course, you will learn about responsible artificial intelligence (AI) practices. In the first section of this course, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempts to overcome, and explore the core dimensions of responsible AI. Then in the next section of the course, you will dive into some topics for developing responsible AI systems. In this section of the course, you will learn about some of the services and tools that AWS offers to help you with responsible AI. You will also learn about responsible AI considerations for selecting a model and preparing data for your AI systems. Finally, in the last section of the course, you learn what it means for a model to be transparent and explainable. You will also learn about tradeoffs to consider between safety and transparency for an AI model and the principles of human-centered design for explainable AI.
Duration 4 Months
Institution Amazon Web Services
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Amazon Web Services.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $62
Total Est. Investment $62

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Responsible AI Practices program at Amazon Web Services are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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