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
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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
Skills you'll gain
- Physical Science
- Organizational Strategy
- Artificial Intelligence
- AI Personalization
- Injury Prevention
- Real Time Data
- Medical Equipment and Technology
- Goal Setting
- Talent Recruitment
- Process Optimization
- Athletic Training
- Data Management
- Technology Solutions
- Data-Driven Decision-Making
- Sports Medicine
- Coaching
- Competitive Analysis
- Predictive Analytics
- Rehabilitation
- Health Technology
Details to know
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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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