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Responsible AI Practices
Learn responsible AI principles, challenges, and practices. Explore AWS tools for ethical AI development and human-centered design.
Course Cost
Free course
Beginner
Skill Level
1 Hour
Self-paced lessons
This course introduces responsible artificial intelligence (AI) practices, focusing on the definition, challenges, and core dimensions of responsible AI. Students will learn about AWS services and tools that support responsible AI development, including considerations for model selection and data preparation. The course also covers the importance of model transparency and explainability, discussing tradeoffs between safety and transparency. Additionally, it introduces principles of human-centered design for explainable AI. Through this comprehensive overview, learners will gain insights into developing AI systems that are ethical, transparent, and aligned with responsible AI principles.
English
What you'll learn
Define responsible AI and understand its core dimensions
Identify challenges that responsible AI aims to address
Explore AWS services and tools for implementing responsible AI practices
Understand considerations for model selection in responsible AI systems
Learn about data preparation techniques for ethical AI development
Grasp the concept of model transparency and explainability in AI
Analyze tradeoffs between safety and transparency in AI models
Apply principles of human-centered design for explainable AI
Skills you'll gain
This course includes:
PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course provides a comprehensive introduction to responsible AI practices, covering three main areas: foundations of responsible AI, developing responsible AI systems, and model transparency and explainability. Students will learn to define responsible AI, understand its challenges, and explore its core dimensions. The course also covers AWS services and tools for implementing responsible AI practices, including considerations for model selection and data preparation. Finally, it delves into the concepts of model transparency and explainability, discussing the balance between safety and transparency, and introducing human-centered design principles for explainable AI. This course equips learners with the knowledge to develop AI systems that are ethical, transparent, and aligned with responsible AI principles.
Responsible AI Practices
Module 1 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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