关于此 专业证书

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Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI developer. This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions. Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions. In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI.
学生职业成果
41%
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7 个月
建议 3 小时/周
英语(English)
字幕:英语(English), 韩语, 越南语, 德语(German)
学生职业成果
41%
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7 个月
建议 3 小时/周
英语(English)
字幕:英语(English), 韩语, 越南语, 德语(German)

此专业证书包含 6 门课程

课程1

课程 1

Introduction to Artificial Intelligence (AI)

4.7
4,396 个评分
992 条评论
课程2

课程 2

Getting Started with AI using IBM Watson

4.5
1,575 个评分
302 条评论
课程3

课程 3

Building AI Powered Chatbots Without Programming

4.8
1,606 个评分
345 条评论
课程4

课程 4

Python for Data Science and AI

4.6
17,878 个评分
2,759 条评论

提供方

IBM 徽标

IBM

常见问题

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  • A​n understanding of artificial intelligence can be used to support many careers, but some careers specifically require a background in AI. Some examples of careers in AI include:

    -​ AI Developer

    -​ Data Analyst

    -​ Data Engineer

    -​ Data Scientist

    -​ Machine Learning Engineer

    -​ Marketing Analyst

    -​ Operations Analyst

    -​ Quantitative Analyst

    -​ Software Analyst

    -​ Software Developer

    -​ Software Engineer

    -​ User Experience Engineer

  • The Professional Certificate consists of 6 self-paced courses. Each course takes 4-5 weeks to complete if you spend 2-4 hours working through the course per week. At this rate, the entire Professional Certificate can be completed in 3-6 months. However, you are welcome to complete the program more quickly or more slowly, depending on your preference.

  • This Professional Certificate is suitable for learners with both technical and non-technical backgrounds. The first 3 courses in the program do not require any programming. The final two courses require some knowledge of Python to build and deploy AI applications. For learners without any programming background, an introductory Python course is included.

  • It is highly recommended to complete the courses in the suggested order.

  • At this time there is no university credit for completing courses in this Professional Certificate.

  • Upon completing this specialization you will be able to:

    • Understand what is AI, its applications & use cases, and how it is transforming our lives
    • Explain terms like machine learning, deep learning, and neural networks
    • Identify various Watson AI services from IBM and their uses
    • Narrate several applications and real life case studies involving IBM Watson
    • Describe how AI-powered chatbot technology works and its applications
    • Create a customer support chatbot and deploy it to a website
    • Practice basics of Python programming language using Jupyter notebooks
    • Apply Python programming concepts for data science and AI
    • Utilize multiple Watson AI services and APIs together to build smart applications
    • Deploy speech enabled virtual assistants with domain intelligence to Facebook, etc.
    • Explain what computer vision is and its applications
    • Build and train custom image classifiers using Watson, Python and OpenCV
    • Create an interactive computer vision web application and deploy it to the Cloud

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