Coursera
  • 在线学位探索学士学位和硕士学位
  • MasterTrack™获得硕士学位的学分
  • 大学证书通过研究生水平的学习,开拓您的职业生涯
寻找职业企业版面向大学
  • 浏览
  • 顶级课程
  • 登录
  • 免费加入
    Coursera
    • 浏览
    • Artificial Intelligence

    筛选依据

    ''artificial intelligence'的 1708 个结果

    • Placeholder
      Placeholder
      DeepLearning.AI,Stanford University

      Machine Learning

      您将获得的技能: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Algorithms, Applied Machine Learning, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (8.1k 条评论)

      Beginner · Specialization · 1-3 Months

    • Placeholder
      DeepLearning.AI

      AI For Everyone

      您将获得的技能: Machine Learning, Business Analysis, Applied Machine Learning, Business Transformation, Data Analysis, Data Model, Deep Learning, Exploratory Data Analysis, Forecasting, Human Computer Interaction, Natural Language Processing, People Analysis, Probability & Statistics, Reinforcement Learning, Statistical Analysis, Artificial Neural Networks, Machine Learning Algorithms

      4.8

      (37.6k 条评论)

      Beginner · Course · 1-4 Weeks

    • Placeholder
      IBM Skills Network

      IBM Applied AI

      您将获得的技能: Machine Learning, Cloud Computing, IBM Cloud, Python Programming, Data Analysis, Computer Vision, Computer Programming, Computer Science, Data Structures, Programming Principles, Algebra, Applied Machine Learning, Computational Thinking, Data Science, Statistical Programming, Computer Graphics, Theoretical Computer Science, Computer Graphic Techniques, Deep Learning, Natural Language Processing, Algorithms, Artificial Neural Networks, Machine Learning Software, Basic Descriptive Statistics, Computational Logic, Design and Product, Exploratory Data Analysis, Human Computer Interaction, Interactive Design, Other Web Frameworks, Product Design, Web Development, Application Development, Cloud API, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operating Systems, Software Engineering, Software Engineering Tools, Software Testing, Systems Design, Web Development Tools

      4.6

      (42.1k 条评论)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      University of Pennsylvania

      AI For Business

      您将获得的技能: Machine Learning, Entrepreneurship, Leadership and Management, Strategy and Operations, Machine Learning Algorithms, Finance, Data Management, Theoretical Computer Science, Applied Machine Learning, Data Analysis, Business Analysis, Human Resources, Marketing, Artificial Neural Networks, Deep Learning, Computational Thinking, Computer Programming, Accounting, Algorithms, People Management, Regulations and Compliance, Sales, Big Data, Data Mining, Data Warehousing, Feature Engineering, Natural Language Processing, Reinforcement Learning, Audit, BlockChain, Business Transformation, Clinical Data Management, Customer Analysis, Customer Relationship Management, Customer Success, Database Administration, Databases, Decision Making, Financial Analysis, Innovation, Research and Design, Security Engineering, Software Security, Strategy

      4.6

      (130 条评论)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      IBM Skills Network

      AI Foundations for Everyone

      您将获得的技能: Computer Science, Machine Learning, Applied Machine Learning, Data Science, Computational Thinking, Cloud Computing, IBM Cloud, Natural Language Processing, Computer Programming, Theoretical Computer Science, Deep Learning, Machine Learning Software, Computational Logic, Design and Product, Human Computer Interaction, Interactive Design, Product Design, Computer Vision, Machine Learning Algorithms, Software Engineering, Software Engineering Tools, Web Development, Web Development Tools

      4.7

      (12.6k 条评论)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      IBM Skills Network

      Introduction to Artificial Intelligence (AI)

      您将获得的技能: Applied Machine Learning, Data Science, Computer Vision, Deep Learning, Machine Learning, Machine Learning Algorithms

      4.7

      (10.4k 条评论)

      Beginner · Course · 1-4 Weeks

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM AI Engineering

      您将获得的技能: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Estimation, Econometrics, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics

      4.6

      (15.8k 条评论)

      Intermediate · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      DeepLearning.AI

      Deep Learning

      您将获得的技能: Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Machine Learning Algorithms, Linear Algebra, Applied Machine Learning, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Probability & Statistics, Business Psychology, Entrepreneurship, Machine Learning Software, Computer Vision, Marketing, General Statistics, Natural Language Processing, Computer Programming, Leadership and Management, Project Management, Regression, Sales, Strategy, Strategy and Operations, Tensorflow, Differential Equations, Mathematics, Applied Mathematics, Decision Making, Supply Chain Systems, Supply Chain and Logistics, Advertising, Communication, Estimation, Forecasting, Mathematical Theory & Analysis, Statistical Visualization, Algorithms, Theoretical Computer Science, Bayesian Statistics, Calculus, Probability Distribution, Statistical Tests, Big Data, Computer Architecture, Computer Networking, Data Management, Human Computer Interaction, Network Architecture, User Experience, Algebra, Computational Logic, Computer Graphic Techniques, Computer Graphics, Data Structures, Data Visualization, Hardware Design, Interactive Design, Markov Model, Network Model

      4.8

      (137.8k 条评论)

      Intermediate · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      Google

      Google Data Analytics

      您将获得的技能: Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Change Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (102.3k 条评论)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      Placeholder
      University of Washington,Microsoft

      Autonomous AI for Industry

      您将获得的技能: Entrepreneurship, Leadership and Management, Marketing, Sales, Strategy, Strategy and Operations, Computer Networking, Decision Making, Deep Learning, Machine Learning, Network Model, Reinforcement Learning, Business Psychology, Innovation

      4.6

      (28 条评论)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      Duke University

      AI Product Management

      您将获得的技能: Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Probability & Statistics, Regression, Human Computer Interaction, Data Analysis, Data Mining, Deep Learning, Leadership and Management, Business Psychology, Computer Networking, Database Administration, Databases, Finance, Network Security, Regulations and Compliance, Research and Design, Security Engineering, User Experience, User Experience Design, Artificial Neural Networks, Computer Vision, Natural Language Processing, Statistical Machine Learning, Algorithms, Data Management, Data Science, Data Structures, Design and Product, Econometrics, Entrepreneurship, Feature Engineering, General Statistics, Operating Systems, Product Management, Project Management, Strategy and Operations, Systems Design, Theoretical Computer Science

      4.7

      (169 条评论)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      Imperial College London

      Mathematics for Machine Learning

      您将获得的技能: Mathematics, Algebra, Linear Algebra, Machine Learning, Python Programming, Probability & Statistics, General Statistics, Calculus, Computer Programming, Applied Mathematics, Mathematical Theory & Analysis, Statistical Programming, Algorithms, Dimensionality Reduction, Regression, Theoretical Computer Science, Basic Descriptive Statistics, Data Analysis, Probability Distribution, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Networking, Deep Learning, Differential Equations, Experiment, Machine Learning Algorithms, Network Model

      4.6

      (13.5k 条评论)

      Beginner · Specialization · 3-6 Months

    与 artificial intelligence 相关的搜索

    artificial intelligence in marketing
    artificial intelligence: an overview
    artificial intelligence (ai) education for teachers
    artificial intelligence and legal issues
    artificial intelligence on microsoft azure
    artificial intelligence for breast cancer detection
    artificial intelligence: ethics & societal challenges
    artificial intelligence data fairness and bias
    1234…84

    总之,这是我们最受欢迎的 artificial intelligence 门课程中的 10 门

    • Machine Learning: DeepLearning.AI
    • AI For Everyone: DeepLearning.AI
    • IBM Applied AI: IBM Skills Network
    • AI For Business: University of Pennsylvania
    • AI Foundations for Everyone: IBM Skills Network
    • Introduction to Artificial Intelligence (AI): IBM Skills Network
    • IBM AI Engineering: IBM Skills Network
    • Deep Learning: DeepLearning.AI
    • Google Data Analytics: Google
    • Autonomous AI for Industry: University of Washington

    关于 人工智能 的常见问题

    • Artificial intelligence (AI) is a fast-growing branch of computer science focused on enabling computers to perform a wide range of tasks that previously required human intelligence. Today, AI is used to power a wide range of tasks, such as image recognition, language translation, and prioritization of email or business workflows. So, if you have a smartphone, chances are you use software with AI capabilities every day.

      AI is often discussed in tandem with the closely related concept of machine learning. Machine learning is the use of step-by-step processes called algorithms to allow computers to solve problems on their own - and, over time, get steadily better at doing so. Well-designed machine learning algorithms give computers the ability to solve a wide range of problems much more effectively and flexibly than if programmers had to provide detailed instructions for one specific use case.

      While machine learning is used to create many simple AI applications, this approach typically requires massive, clearly-defined datasets to properly “train” the program. To create more sophisticated AI applications, an advanced type of machine learning called deep learning is used. Deep learning uses artificial neural networks that, as its name implies, are patterned after the human brain and do not require such structured datasets and human guidance to be successful. Instead, the AI application can be fed diverse, unstructured datasets and learn itself how to achieve a specified goal.

      Even today’s most powerful deep learning approaches are not capable of mimicking the complexity and creativity of the human brain and its tens of billions of neurons. However, the field of artificial intelligence has made incredible strides in recent years, and is changing the way we live and work in ways that would have seemed outlandish a decade ago. Who knows what the next decade of progress in this exciting field will yield? Students learning skills in this area today may end up producing even more radical breakthroughs.‎

    • As artificial intelligence (AI) touches more and more areas of our daily lives, it is becoming useful to more and more career paths. Indeed, at least some background in this field is required for a growing number of jobs, and it can help give you a significant advantage over the competition in many others.

      Naturally, AI and its subfields are in very high demand for popular computer science jobs. Data scientists rely on machine learning and deep learning skills in their daily work, applying various data mining techniques to both structured and unstructured big data in order to produce valuable insights for a wide variety of businesses. Skills in natural language processing (NLP) are needed to create useful chatbots for customer service as well as voice-activated assistants like Amazon’s Alexa. And advanced AI skills can put you on the cutting edge of computer programming, working on teams seeking to achieve ambitious goals like self-driving cars or autonomous robots.

      A background in AI can help you in more and more jobs outside the realm of computer science, as well - it’s not much of an exaggeration to say that if a job requires human intelligence to do, artificial intelligence can help.

      For example, a familiarity with machine learning can help business analysts understand and use sophisticated tools for predicting movements in the market - or develop these tools themselves. Doctors and other healthcare professionals are leveraging AI to assist with diagnosing illnesses, prescribing treatments, and analyzing medical data. Even creative professionals in visual arts and music can take advantage of AI tools to help them generate images and melodies.‎

    • Coursera offers online courses in an incredibly wide range of computer science topics, and artificial intelligence is no exception. If you’re a computer science student interested in this fast-growing field, online courses can give you an introduction to AI and machine learning, or help you hone your Python skills for data science. More advanced learners can dive deep, with courses and Specializations in AI engineering and deep learning. Even non-computer scientists can benefit from courses geared towards their field, such as the use of machine learning for trading and other business professionals.

      Whatever your level of expertise and area of interest, online courses let you learn remotely on a flexible schedule and, typically, a lower cost than on-campus alternatives. And thanks to Coursera’s partnerships with top-ranked schools like Stanford University and Imperial College London, as well as industry leaders like IBM and Google Cloud, students can get all the advantages of online learning while still getting a high-quality education in this exciting field.‎

    • The skills or experience you may need to have before learning artificial intelligence (AI) includes having a solid knowledge of math, science, and computer science, specifically data science. You may want to have experience with advanced math, such as calculus and algebra, Bayesian algorithms, plus probability and statistics. In addition, a science background may be good to have for learning AI, including an understanding of physics, mechanics, cognitive learning theory, and language processing. It will also help to have a good command of computer science, including programming languages and tools such as Python, C++, and Java. Understanding the basic foundations of machine learning, deep learning, and neural networks may also be helpful to you before learning AI. If you already have some experience in software development, automotive manufacturing, and aerospace manufacturing fields, you may already have some necessary understanding of the way AI is applied in these industries.‎

    • The kind of people who are best suited for roles in AI are interested in highly scientific concepts and tools. People well suited to work in roles in AI feel comfortable experimenting with advanced technologies and concepts, such as machine learning, a part of AI that has given the world self-driving cars, for example. They also feel energized working with sophisticated pieces of software that can make decisions by analyzing data. In addition, the type of people well suited to work in roles in AI may want to learn to have the ability to build sophisticated pieces of equipment, such as robotics, which operate on internal software.‎

    • Learning artificial intelligence may be right for you if you plan on becoming an AI developer, machine learning engineer, data scientist, or research engineer or if you want your company to become better at using AI. In addition, learning AI may be beneficial if you are in the medical field, which AI is transforming when it comes to diagnosing, treating, and predicting outcomes. Learning AI may benefit you if you want to understand what AI realistically can and can't do and if you want to be able to spot opportunities to apply AI to your organization’s problems and know how to navigate the ethics of machine learning, along with other dimensions of AI.‎

    此常见问题解答内容仅供参考。建议学生多做研究,确保所追求的课程和其他证书符合他们的个人、专业和财务目标。
    其他可浏览的主题
    Placeholder
    艺术与人文
    338 课程
    Placeholder
    商务
    1095 课程
    Placeholder
    计算机科学
    668 课程
    Placeholder
    数据科学
    425 课程
    Placeholder
    信息技术
    145 课程
    Placeholder
    健康
    471 课程
    Placeholder
    数学和逻辑
    70 课程
    Placeholder
    个人发展
    137 课程
    Placeholder
    物理科学与工程
    413 课程
    Placeholder
    社会科学
    401 课程
    Placeholder
    语言学习
    150 课程

    Coursera Footer

    开拓职业生涯或促进职业发展

    • Google 数据分析师
    • Google 数字营销和电子商务专业证书
    • Google IT 自动化与 Python 专业证书
    • Google IT 支持
    • Google 项目管理
    • Google UX 设计
    • 备考 Google Cloud 认证:云架构师
    • IBM Cybersecurity Analyst
    • IBM 数据分析师
    • IBM 数据工程
    • IBM 数据科学
    • IBM 全栈云开发人员
    • IBM Machine Learning
    • 直觉簿记
    • Meta Front-End Developer
    • DeepLearning.AI TensorFlow 开发者专业证书
    • SAS 程序员专业证书
    • 开启您的职业生涯
    • 准备证书
    • 开拓职业生涯
    • 如何识别 Python 语法错误
    • 如何捕捉 Python 异常
    • 查看所有编程教程

    热门课程和证书

    • 免费课程
    • 人工智能课程
    • 区块链课程
    • 计算机科学课程
    • Cursos Gratis
    • 网络安全课程
    • 数据分析课程
    • 数据科学课程
    • 英语口语课程
    • 全栈式网络开发课程
    • Google 课程
    • 人力资源课程
    • IT 课程
    • 学习英语课程
    • Microsoft Excel 课程
    • 产品管理课程
    • 项目管理课程
    • Python 课程
    • SQL 课程
    • 敏捷证书
    • CAPM 证书
    • CompTIA A+ 证书
    • 数据分析证书
    • Scrum Master 证书
    • 查看全部课程

    热门收藏和文章

    • 您可以在一天内完成的免费在线课程
    • 热门免费课程
    • 商务工作
    • 网络安全工作
    • 入门 IT 工作
    • 数据分析师面试问题
    • 数据分析工程
    • 如何成为数据分析师
    • 如何成为项目经理
    • IT 技能
    • 项目经理面试问题
    • Python 程序设计技能
    • 面试中的优势和劣势
    • 数据分析师是做什么的
    • 软件工程师是做什么的
    • 什么是数据工程师
    • 什么是数据科学家
    • 什么是产品设计师
    • 什么是 Scrum Master
    • 什么是用户体验研究员
    • 如何获得 PMP 证书
    • PMI 证书
    • 热门网络安全证书
    • 热门 SQL 证书
    • 阅读所有 Coursera 文章

    在线获得学位或证书

    • Google 专业证书
    • 专业证书
    • 查看所有证书
    • 学士学位
    • 硕士学位
    • Computer Science Degrees
    • Data Science Degrees
    • MBA 和商学学位
    • 数据分析师学位
    • 公共卫生学位
    • 社会科学学位
    • 管理学位
    • 文学学位与理学学位
    • 什么是学士学位?
    • 要培养的 11 个良好的学习习惯
    • 如何撰写推荐信
    • 拥有商学学位可以从事的 10 个热门工作
    • 计算机科学硕士值得读吗?
    • 查看所有学位计划
    • Coursera 印度
    • Coursera 英国
    • Coursera 墨西哥

    Coursera

    • 关于
    • 我们提供的内容
    • 管理团队
    • 工作机会
    • 目录
    • Coursera Plus
    • 专业证书
    • MasterTrack® 证书
    • 学位
    • 企业版
    • 政府版
    • 面向校园
    • 成为合作伙伴
    • 新冠疫情响应

    社区

    • 学生
    • 合作伙伴
    • Beta 测试人员
    • 专业译员
    • 博客
    • 技术博客
    • 教学中心

    更多

    • 媒体
    • 投资者
    • 条款
    • 隐私
    • 帮助
    • 内容访问
    • 联系我们
    • 文章
    • 目录
    • 附属公司
    • 现代奴隶制声明
    随时随地学习
    Placeholder
    Placeholder
    Placeholder
    © 2023 Coursera Inc.保留所有权利。
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder