关于此 专项课程

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Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student - understanding AI, its impact and transformative potential for your organization and our society is of paramount importance.

This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills. It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries. You will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks.

Furthermore, it will familiarize you with IBM Watson AI services that enable any business to quickly and easily employ pre-built AI smarts to their products and solutions. You will also learn about creating intelligent virtual assistants and how they can be leveraged in different scenarios.

By the end of this specialization, learners will have had hands-on interactions with several AI environments and applications, and have built and deployed an AI enabled chatbot on a website – without any coding.

学生职业成果
25%
完成此 专项课程 后开始了新的职业。
14%
加薪或升职。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
初级
完成时间大约为3 个月
建议 3 小时/周
英语(English)
字幕:英语(English)
学生职业成果
25%
完成此 专项课程 后开始了新的职业。
14%
加薪或升职。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
初级
完成时间大约为3 个月
建议 3 小时/周
英语(English)
字幕:英语(English)

此专项课程包含 3 门课程

课程1

课程 1

Introduction to Artificial Intelligence (AI)

4.7
3,653 个评分
811 条评论
课程2

课程 2

Getting Started with AI using IBM Watson

4.5
1,410 个评分
267 条评论
课程3

课程 3

Building AI Powered Chatbots Without Programming

4.8
1,510 个评分
323 条评论

提供方

IBM 徽标

IBM

常见问题

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This specialization consists of 3 self-paced courses. Each course can be completed in 4 weeks if working 2-4 hours per week. At this pace the entire specialization can be completed within 2-3 months. If working 10-12 hours per week, it can be completed within 1 month.

  • This specialization is open to anyone, whether you have technology background or not. It does NOT require any background in AI, Computer Science, Math or Programming.

  • Yes, it is highly recommended to complete the courses in the specified order.

  • No, there is no university credit associated with completing these courses.

  • Upon successfully completing all courses in this specialization you will be able to:

    • Understand what is AI, its applications & use cases, and its impact on society

    • Explain terms like Machine Learning, Deep Learning and Neural Networks

    • Identify various Watson AI services from IBM and what they can be used for

    • Narrate several applications and real life case studies involving Watson

    • Describe how AI-powered virtual assistant technology works and its applications

    • Create a customer support chatbot and add it to a website

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