Data ScienceDeep LearningArtificial Intelligence (AI)Machine LearningWatson (Computer)JobsApplication Programming Interfaces (API)watson
提供方
您将学到的内容有
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
您将获得的技能
关于此 专项课程
24,532 次近期查看
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.
应用的学习项目
Learners will perform several no-code hands-on exercises in each of the three courses. At the end of the last course, learners would have developed, tested, and deployed a Watson AI powered customer service chatbot on a website to delight their clients.
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
无需相关领域的预备知识无需相关经验。
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
无需相关领域的预备知识无需相关经验。
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
Introduction to Artificial Intelligence (AI)
3,653 个评分
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.
Getting Started with AI using IBM Watson
1,410 个评分
In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.
Building AI Powered Chatbots Without Programming
1,510 个评分
This course will teach you how to create useful chatbots without the need to write any code.
提供方
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
常见问题
What is the refund policy?
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.
Can I just enroll in a single course?
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.
Is financial aid available?
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.
Can I take the course for free?
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.
Is this course really 100% online? Do I need to attend any classes in person?
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.
How long does it take to complete the Specialization?
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.
What background knowledge is necessary?
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.
Do I need to take the courses in a specific order?
Yes, it is highly recommended to complete the courses in the specified order.
Will I earn university credit for completing the Specialization?
No, there is no university credit associated with completing these courses.
What will I be able to do upon completing the Specialization?
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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