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Introduction to Amazon Cognito

Ben Weissman

More and more organizations are implementing artificial intelligence (AI) within their processes. In this course, you'll learn the importance of responsible use of AI by taking ethics and bias into account.

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More and more organizations are implementing artificial intelligence (AI) within their processes. In this course, you'll learn the importance of responsible use of AI by taking ethics and bias into account.

More and more organizations are implementing artificial intelligence (AI) within their processes for hiring, automation, autonomous and predictive devices, and many other use cases.

In this course, Artificial Intelligence Essentials: Responsible AI, you'll discover the meaning and impact of a responsible way to implement AI.

First, you'll build an understanding of what we mean when we talk about responsibility in terms of AI.

Next, you'll see how bias comes into play and how we face it in a conscious or unconscious way every single day.

Finally, you'll get into the importance of ethics in AI by looking at unethical means in AI implementations and principles to avoid them.

When you’re finished with this course, you’ll have the skills and knowledge needed to understand what ethics and bias in AI are, and how to make sure you’re using AI in a responsible way that is benefitting users without putting others or society at a disadvantage.

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What's inside

Syllabus

Course Overview
Responsible and Ethical Artificial Intelligence (AI)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational skills and knowledge about responsible use of AI, which is essential for anyone working in AI-related fields
Taught by Ben Weissman, an expert in the field of AI ethics and governance
Examines ethical considerations for using AI, which are important for addressing potential negative effects and biases
Covers responsible AI implementation, which is highly relevant to organizations using AI across industries
Provides a starting point for exploring ethical considerations in AI, though it may require supplemental learning for in-depth knowledge

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Activities

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Career center

Learners who complete Introduction to Amazon Cognito will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Specialist
Artificial Intelligence Specialists design, develop, and implement AI systems. Introduction to Amazon Cognito may help Artificial Intelligence Specialists gain a strong foundation in AI ethics and bias, which are important considerations for the field.
AI Ethicist
AI Ethicists ensure that AI systems are developed and used in an ethical and responsible manner. Introduction to Amazon Cognito may provide AI Ethicists with a foundation in AI ethics.
Machine Learning Engineer
Machine Learning Engineers work with Artificial Intelligence (AI) and related technologies to create intelligent and useful software programs. As an AI-focused course, Introduction to Amazon Cognito may help Machine Learning Engineers learn about responsible AI usage. The course could also be useful for engineers seeking to build a foundation in ethical AI for machine learning.
Algorithm Developer
Algorithm Developers design and develop algorithms for use in computer programs. Introduction to Amazon Cognito may be helpful for Algorithm Developers seeking to create ethical and responsible AI algorithms.
Data Scientist
Data Scientists help turn raw data into usable information. This role involves building models and analyzing data in order to provide insights. Introduction to Amazon Cognito may be useful to Data Scientists seeking to create and implement ethical AI solutions.
Data Analyst
Data Analysts clean, analyze, and interpret data to help businesses make better decisions. Introduction to Amazon Cognito may be useful for Data Analysts seeking to implement ethical AI into their data analysis.
Software Engineer
Software Engineers design, develop, maintain, and manage computer software systems. As an AI-focused course, Introduction to Amazon Cognito can help Software Engineers by providing a foundation for building reliable, responsible AI software.
Business Analyst
Business Analysts work with stakeholders and analyze data to improve business processes. Introduction to Amazon Cognito may be useful for Business Analysts seeking to create ethical AI solutions that meet the needs of stakeholders.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and provide insights for businesses. Introduction to Amazon Cognito may be useful for Quantitative Analysts who want to develop ethical AI-powered models.
Product Manager
Product Managers are responsible for planning and developing new products or features. Introduction to Amazon Cognito may be helpful for Product Managers hoping to incorporate ethical AI into their products.
Data Engineer
Data Engineers design, build, and manage data pipelines and systems. Introduction to Amazon Cognito may be useful for Data Engineers seeking to incorporate ethical AI into their data engineering
Project Manager
Project Managers plan, execute, and oversee projects. Introduction to Amazon Cognito may be useful for Project Managers who are working with AI-powered projects and who want to ensure they are done responsibly.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Amazon Cognito.
Provides an overview of the ethical issues surrounding AI, including privacy, bias, and accountability. It good starting point for anyone interested in learning more about the ethical implications of AI.
Provides a comprehensive overview of deep learning, including its algorithms, techniques, and applications. It good resource for anyone interested in learning more about the technical aspects of deep learning.
Provides a practical guide to machine learning, including its algorithms, techniques, and applications. It good resource for anyone interested in learning more about the technical aspects of machine learning.
Provides a comprehensive overview of the current state of AI, including its potential benefits and risks. It good resource for anyone interested in learning more about the future of AI.
Provides a philosophical exploration of the potential risks and benefits of AI. It good resource for anyone interested in learning more about the ethical implications of AI.
Provides a comprehensive overview of the current state of AI, including its potential benefits and risks. It good resource for anyone interested in learning more about the future of AI.
Provides a speculative look at the future of humanity, including the potential impact of AI. It good resource for anyone interested in learning more about the potential implications of AI for society.
Provides a speculative look at the future of humanity, including the potential impact of AI. It good resource for anyone interested in learning more about the potential implications of AI for society.
Provides a gentle introduction to machine learning, including its algorithms, techniques, and applications. It good resource for anyone interested in learning more about the basics of machine learning.
Provides a non-technical overview of AI, including its history, applications, and potential impact on society. It good resource for anyone interested in learning more about the basics of AI.

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