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⇱ Introduction to AI and Technology in Sports | Coursera


Introduction to AI and Technology in Sports

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Introduction to AI and Technology in Sports

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Gain insight into a topic and learn the fundamentals.
4.6

11 reviews

Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week

Gain insight into a topic and learn the fundamentals.
4.6

11 reviews

Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week

What you'll learn

  • Introduction to Artificial Intelligence applied to sports

  • Understand the application of key technologies in sports

  • Use tools and technologies applied to the sports industry

Details to know

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Assessments

8 assignments

Taught in English
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is part of the AI in Sports: The Approach of a Club Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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.

The course examines how these tools are transforming the field, enabling real-time monitoring and data-driven decision-making. Practical case studies will address the evolution of AI in sports and the application of technologies like Real Madrid C.F.’s Smart Stadium. In addition, the course reflects on the ethical and privacy implications of AI use, offering a balanced and future-oriented introduction for those seeking to understand the technological foundations of sports transformation.

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.

What's included

6 videos1 reading2 assignments1 discussion prompt

6 videosβ€’Total 56 minutes
  • Introduction to AI Concepts.β€’7 minutes
  • Introduction to AI Concepts 2.β€’10 minutes
  • Fundamental AI Technologies.β€’7 minutes
  • Fundamental AI Technologies 2.β€’11 minutes
  • AI Applications in Various Industries.β€’10 minutes
  • AI Applications in Various Industries 2.β€’10 minutes
1 readingβ€’Total 100 minutes
  • Complementary Resources on AI Applications in Various Industries.β€’100 minutes
2 assignmentsβ€’Total 60 minutes
  • Foundations of Artificial Intelligence.β€’30 minutes
  • Foundations of Artificial Intelligence.β€’30 minutes
1 discussion promptβ€’Total 10 minutes
  • Foundations of Artifical Intelligence.β€’10 minutes

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.

What's included

6 videos3 readings2 assignments1 discussion prompt

6 videosβ€’Total 42 minutes
  • Machine Learning and Deep Learning.β€’7 minutes
  • Machine Learning and Deep Learning 2.β€’7 minutes
  • Natural Language Processing and Large Language Models.β€’7 minutes
  • Natural Language Processing and Large Language Models 2.β€’8 minutes
  • Current Trends and Future of AI.β€’6 minutes
  • Current Trends and Future of AI 2.β€’7 minutes
3 readingsβ€’Total 245 minutes
  • Complementary Resources on Introduction to AI Concepts.β€’110 minutes
  • Complementary Resources on Fundamental AI Technologies.β€’105 minutes
  • Complementary Resources on Applications in Various Industries.β€’30 minutes
2 assignmentsβ€’Total 60 minutes
  • Modern AI Techniques and Applications.β€’30 minutes
  • Modern AI Techniques and Applications.β€’30 minutes
1 discussion promptβ€’Total 10 minutes
  • Modern AI Techniques and Applications.β€’10 minutes

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.

What's included

6 videos1 reading2 assignments1 discussion prompt

6 videosβ€’Total 42 minutes
  • Intersection of Sports and Technology.β€’10 minutes
  • Intersection of Sports and Technology 2.β€’10 minutes
  • Evolution of AI in Sports.β€’8 minutes
  • Evolution of AI in Sports 2.β€’6 minutes
  • Ethical and Privacy Considerations.β€’4 minutes
  • Ethical and Privacy Considerations 2.β€’4 minutes
1 readingβ€’Total 60 minutes
  • Complementary Resources on Intersection of Sports and Technology.β€’60 minutes
2 assignmentsβ€’Total 60 minutes
  • AI and Technology in Sports.β€’30 minutes
  • AI and Technology in Sports.β€’30 minutes
1 discussion promptβ€’Total 10 minutes
  • AI and Technology in Sports.β€’10 minutes

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.

What's included

5 videos2 readings2 assignments1 discussion prompt

5 videosβ€’Total 33 minutes
  • Wearable Devices and IoT in Sportsβ€’7 minutes
  • Wearable Devices and IoT in Sports 2β€’6 minutes
  • Sports Data Analytics Platformsβ€’7 minutes
  • RM's Data & Scouting Platform: Besoccerβ€’7 minutes
  • Real Madrid Smart Stadium Video on Youtubeβ€’6 minutes
2 readingsβ€’Total 90 minutes
  • Complementary Resources on Wearable Devices and IoT in Sportsβ€’60 minutes
  • Complementary Resources on Sports Data Analytics Platformsβ€’30 minutes
2 assignmentsβ€’Total 60 minutes
  • Tools and Technologies in Sports AIβ€’30 minutes
  • Tools and Technologies in Sports AIβ€’30 minutes
1 discussion promptβ€’Total 10 minutes
  • Tools and Technologies in Sports AIβ€’10 minutes

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Instructor

Real Madrid Graduate School Universidad Europea
70 Coursesβ€’9,649 learners

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