AI for Player Performance and Training

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AI for Player Performance and Training

This course is part of AI in Sports: The Approach of a Club Specialization

Instructor: Marisa Sáenz

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Apply AI and wearables to enhance athlete performance
Use data analysis to improve athlete training
Leverage AI to optimize team tactics and strategy

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

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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 explores how artificial intelligence is transforming athlete training and team performance. Students will analyze the role of wearable technology in collecting key data on physical performance, as well as its application in designing more effective and personalized training programs.

The course also delves into the use of digital tools for injury prevention and recovery planning, showing how data can help anticipate risks and optimize return-to-play timelines. From data collection to advanced analytics, learners will discover how AI enables more informed strategic decision-making in real sports contexts. Real-world case studies illustrate how elite teams, such as Real Madrid C.F., are using these technologies to enhance player performance, reduce physical risks, and make better tactical decisions based on real-time analysis.

Explore the essential role of wearable technology in modern sports. This module guides you through the latest innovations in data collection, from foundational wearables to advanced case studies. Discover how devices like the Oura Ring and Playermaker are used to monitor athlete performance, and examine both the benefits and challenges of integrating wearables into elite training environments.

What's included

6 videos3 readings2 assignments1 discussion prompt

6 videos Total 42 minutes

Introduction to Course 2: AI for training and player performance 5 minutes
Case Study: the Oura Ring 7 minutes
Case Study: Playermaker 6 minutes
Wearables: Tech Examples and Key Concepts 10 minutes
Benefits and Challenges of Wearables 9 minutes
Case Study: Coach Whisperer 6 minutes

3 readings Total 120 minutes

Complementary Resources on Introduction to Wearable Technology 20 minutes
Complementary Resources on Data Collection and Metrics Monitored 60 minutes
Complementary Resources on Benefits and Challenges of Wearables 40 minutes

2 assignments Total 60 minutes

Wearables and Data Collection 30 minutes
Wearables and Data Collection 30 minutes

1 discussion prompt Total 10 minutes

Wearables and Data Collection 10 minutes

Delve into the transformative impact of technology and AI on player health. In this module, you’ll learn how advanced data-driven tools proactively prevent injuries and support sustainable recovery. Real-world case studies, including insights from Real Madrid, demonstrate the use of AI-powered solutions and recovery platforms that help athletes stay at their peak.

What's included

6 videos3 readings2 assignments1 discussion prompt

6 videos Total 46 minutes

From Reaction to Proactive Prevention 7 minutes
Integrated AI Solutions and Sustainable Data-Driven Recovery 11 minutes
A real-life example: Thibaut Courtois anterior cruciate ligament (ACL) case study 7 minutes
Real Madrid's use case for injury prevention: Olocip 9 minutes
Real Madrid’s use case for recovery: TRAK 8 minutes
Real Madrid's use case for wellness: Starpool 5 minutes

3 readings Total 40 minutes

Complementary Resources on The Role of Technology in Injury Prevention 15 minutes
Complementary Resources on Recovery Tools and Strategies 15 minutes
Complementary Resources on Applications of AI and Data Analytics in Injury Prevention and Recovery 10 minutes

2 assignments Total 60 minutes

Injury Prevention and Recovery 30 minutes
Injury Prevention and Recovery 30 minutes

1 discussion prompt Total 10 minutes

Injury Prevention and Recovery 10 minutes

Uncover how artificial intelligence is revolutionizing team management and training personalization. This module covers AI-driven scouting, transfer decisions, and the creation of individualized training programs. Through practical examples and deep-dive case studies, you’ll see how data and AI empower coaches to tailor strategies to each player’s needs and maximize team success.

What's included

6 videos2 readings2 assignments1 discussion prompt

6 videos Total 38 minutes

Artificial intelligence in player scouting and transfer decisions 6 minutes
Artificial intelligence in player scouting and transfer decisions 2 7 minutes
Personalised training programs 6 minutes
SMART Goals and Use Cases 5 minutes
Deep Dive 6 minutes
Key Concepts 8 minutes

2 readings Total 100 minutes

Complementary Resources on AI in Player Scouting and Transfer Decisions 40 minutes
Complementary Resources on Personalised Training Programs 60 minutes

2 assignments Total 60 minutes

Optimizing team management & personalization in training 30 minutes
Optimizing team management & personalization in training 30 minutes

1 discussion prompt Total 10 minutes

Optimizing team management & personalization in training 10 minutes

Examine how AI and real-time data analytics are reshaping game preparation and tactical decision-making. This module explores pre-game strategy development, in-game adjustments backed by live data, and post-game analysis for continuous improvement. Learn how elite teams use technology to refine their approach and gain a competitive edge on the field.

What's included

6 videos3 readings2 assignments1 discussion prompt

6 videos Total 41 minutes

AI for Pre-Game Strategy Development: theory 7 minutes
AI for Pre-Game Strategy Development: tech examples 4 minutes
In-Game Adjustments Using Real-Time Data: theory 8 minutes
Case Study: StatsPerform 6 minutes
Post-Game Analysis for Future Strategy: theory 9 minutes
Post-Game Analysis for Future Strategy: tech examples 8 minutes

3 readings Total 190 minutes

Complementary Resources on AI for Pre-Game Strategy Development 120 minutes
Complementary Resources on In-Game Adjustments Using Real-Time Data 40 minutes
Complementary Resources on Post-Game Analysis for Future Strategy 30 minutes

2 assignments Total 60 minutes

Game Strategy and Tactics 30 minutes
Game Strategy and Tactics 30 minutes

1 discussion prompt Total 10 minutes

Game Strategy and Tactics 10 minutes

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Instructor

Marisa Sáenz

Real Madrid Graduate School Universidad Europea

48 Courses 5,756 learners

Offered by

Real Madrid Graduate School Universidad Europea

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