人工智能概论

Introduction to Artificial Intelligence (AI)

954 次查看
IBM
Coursera
  • 完成时间大约为 9 个小时
  • 初级
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Understand what is AI, its applications and use cases and how it is transforming our lives

Explain terms like Machine Learning, Deep Learning and Neural Networks

Describe several issues and ethical concerns surrounding AI

Articulate advice from experts about learning and starting a career in AI

课程概况

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.

This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

课程大纲

What is AI? Applications and Examples of AI

This week, you will learn what AI is. You will understand its applications and use cases and how it is transforming our lives.

AI Concepts, Terminology, and Application Areas

This week, you will learn about basic AI concepts. You will understand how AI learns, and what some of its applications are.

AI: Issues, Concerns and Ethical Considerations

This week, you will learn about issues and concerns surrounding AI, including - ethical considerations, bias, jobs, etc. - their impact on society. This information will help you to have an informed discussion on the costs and benefits of AI, and reassure decision makers about implementing an AI solution.

The Future with AI, and AI in Action

This week, you will learn about the current thinking on the future with AI, as well as hear from experts about their advice to learn and start a career in AI. You will also demonstrate AI in action by utilizing Computer Vision to classify images.

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