This course offers a broad overview of the fundamentals of artificial intelligence and its impact across industries, with a special focus on the sports sector. Learners will explore the key principles of AI and essential technologies such as wearable devices, data analytics platforms, IoT, and intelligent systems applied to sports.


您将学到什么
Introduction to Artificial Intelligence applied to sports
Understand the application of key technologies in sports
Use tools and technologies applied to the sports industry
您将获得的技能
- Data Ethics
- Scikit Learn (Machine Learning Library)
- Performance Appraisal
- Deep Learning
- Natural Language Processing
- Real Time Data
- Analytics
- Internet Of Things
- Health Technology
- Technology Strategies
- Data Analysis
- Technology Solutions
- Responsible AI
- Emerging Technologies
- Data Analysis Software
- Statistical Methods
- Machine Learning
- Artificial Intelligence
- Large Language Modeling
- Artificial Intelligence and Machine Learning (AI/ML)
要了解的详细信息

添加到您的领英档案
June 2025
8 项作业
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有4个模块
This foundational module introduces you to the essential concepts and technologies that power artificial intelligence in the modern world. Through three comprehensive lessons, you'll explore the fundamental principles of AI, understand key technologies driving the field, and discover diverse real-world applications across industries. Beginning with core AI concepts and terminology, you'll progress to examining the technological infrastructure enabling AI systems, and conclude by investigating how various sectors are being transformed through AI implementation. This module establishes the critical knowledge base necessary for understanding AI's specific applications in sports contexts, preparing you for more advanced explorations in subsequent modules.
涵盖的内容
6个视频1篇阅读材料2个作业1个讨论话题
This advanced module explores cutting-edge AI methodologies and their practical implementations across various domains. Through three comprehensive lessons, you'll delve into sophisticated machine learning and deep learning techniques, discover the transformative potential of natural language processing and large language models, and examine emerging AI trends shaping our future. Building on foundational AI knowledge, this module provides deeper technical understanding of how modern AI systems function and evolve. You'll gain insights into the latest developments in AI research and applications, preparing you to recognize and evaluate opportunities for implementing these technologies in sports and beyond.
涵盖的内容
6个视频3篇阅读材料2个作业1个讨论话题
This specialized module explores the dynamic relationship between artificial intelligence, technology, and the world of sports. Through three comprehensive lessons, you'll discover how digital innovation is revolutionizing athletic performance, fan engagement, and sports business operations. Beginning with an examination of how technology and sports intersect across multiple touchpoints, you'll then trace the historical development and current state of AI applications in sporting contexts. The module concludes with a critical exploration of the ethical dimensions and privacy challenges that emerge as sports organizations collect and leverage increasingly sophisticated data. Designed for both sports professionals and technology enthusiasts, this module provides essential insights into how AI is transforming traditional approaches to training, competition, and sports management while raising important questions about responsible innovation.
涵盖的内容
6个视频1篇阅读材料2个作业1个讨论话题
This practical module examines the cutting-edge technologies and platforms transforming data collection and analysis in modern sports. Through three focused lessons, you'll explore the hardware and software ecosystems driving innovation in athletic performance monitoring and fan experience enhancement. Beginning with an in-depth look at wearable technology and Internet of Things (IoT) applications, you'll discover how these innovations provide unprecedented insights into athlete biomechanics and physiological responses. You'll then examine sophisticated data analytics platforms that convert raw information into actionable intelligence for coaches, scouts, and performance staff. The module culminates with a fascinating exploration of smart stadium infrastructure, showcasing how integrated technology systems are revolutionizing venue management and spectator engagement. By understanding these practical tools and their implementations, you'll gain valuable knowledge about the technological backbone supporting modern sports operations and strategic decision-making.
涵盖的内容
5个视频2篇阅读材料2个作业1个讨论话题
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师

从 Machine Learning 浏览更多内容
- 状态:预览
- 状态:免费试用
University of Michigan
- 状态:预览
University of Illinois Urbana-Champaign
- 状态:免费试用
University of Michigan
人们为什么选择 Coursera 来帮助自己实现职业发展




常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金,