AI in Sports Analytics and Performance Optimization Training Course

Module 1: Foundations of AI in Sports Analytics

• The evolution of sports data: From Moneyball to Deep Learning
• Identifying high-impact AI use cases in individual and team sports
• Overview of the sports tech stack: GPS trackers, IMUs, and optical sensors
• Understanding the role of Big Data in building championship cultures
• Challenges of data collection in a dynamic, high-pressure environment
• Practical session: Conducting a technology audit for a sports organization to identify AI readiness

Module 2: Wearable Technology and Biometric Data Processing

• Integrating data from GPS, heart rate monitors, and accelerometers
• Time-series analysis of athlete workload and recovery metrics
• Handling noise and signal loss in high-intensity movement data
• Automated detection of fatigue signatures through biometric fluctuations
• Synchronizing multi-sensor data for a holistic view of athlete health
• Practical session: Cleaning and visualizing a week of GPS and heart rate data for a professional athlete

Module 3: Computer Vision for Player Tracking and Pose Estimation

• Automated event detection: Recognizing shots, passes, and tackles from video
• 2D and 3D pose estimation for assessing athletic technique and form
• Calculating player velocity and acceleration without the use of wearables
• Crowd and space analysis: Using AI to visualize "ghosting" and defensive gaps
• Implementing facial recognition for streamlined athlete access and check-ins
• Practical session: Using a pose-estimation model to analyze a sprinter's start or a golfer's swing

Module 4: Machine Learning for Injury Prediction and Load Management

• Identifying the "Red Zone": Predicting soft-tissue injury risk via data trends
• Using Random Forests and XGBoost to model complex injury correlations
• Personalized recovery protocols: Using AI to suggest individualized rest periods
• Sleep and nutrition tracking: The role of AI in optimizing off-field recovery
• Impact of environmental factors (altitude, heat) on predictive performance models
• Practical session: Building a classification model to predict injury risk based on historical workload data

Module 5: Tactical Analysis and Opponent Scouting with AI

• Pattern recognition in team formations and defensive structures
• Simulating game outcomes: Using Monte Carlo methods for tactical planning
• Automated scouting: Generating deep-dive reports on opponent weaknesses
• Expected Goals (xG) and beyond: Advanced metrics for scoring probability
• Set-piece optimization through AI-driven spatial analysis
• Practical session: Generating a tactical "heat map" and weakness profile for a rival team using match data

Module 6: Talent Identification and Recruitment Analytics

• Predictive scouting: Identifying future stars through youth-level performance data
• Market value assessment: Using AI to optimize transfer fees and contract terms
• Similarity modeling: Finding "replacement" players for departing team members
• Psychological and character profiling through AI-driven behavioral analysis
• Harmonizing scouting video with quantitative performance metrics
• Practical session: Building a "Player Similarity" engine to find a cost-effective replacement for a star player

Module 7: AI in Fan Engagement and Venue Operations

• Personalized fan experiences: AI-driven content and merchandise recommendations
• Sentiment analysis of social media to gauge brand health and fan loyalty
• Dynamic ticket pricing based on demand, weather, and team performance
• Smart stadium operations: Using AI for crowd control and concession optimization
• Automated highlight generation for social media and broadcast
• Practical session: Designing an automated fan engagement workflow for a match-day event

Module 8: Real-time In-game Decision Support Systems

• Real-time probability modeling for substitution and play-calling
• Analyzing live biometric streams to detect mid-game athlete fatigue
• Bench-side tablets: Delivering AI insights to coaches in the heat of battle
• Strategy adjustment: Using AI to react to mid-game tactical shifts by opponents
• Managing the "Human-in-the-loop": Communicating data to non-technical coaches
• Practical session: Simulating an in-game scenario where AI dictates a tactical change or substitution

Module 9: Sports Biomechanics and Motion Analysis AI

• Quantifying movement efficiency: Using AI to reduce energy leaks
• Injury rehabilitation tracking: Using data to ensure "Return to Play" readiness
• Gait and stride analysis for injury prevention in running-based sports
• Specialized biomechanics: AI for pitching, kicking, and jumping mechanics
• Integrating force-plate data with kinematic video analysis
• Practical session: Comparing the biomechanical data of an injured versus healthy athlete to identify risk markers

Module 10: Ethics, Privacy, and the Future of the AI Coach

• Navigating player privacy: Managing ownership of biometric and performance data
• Addressing algorithmic bias in scouting and talent development
• The ethics of "AI Benchings": When the data overrides the coach's gut feeling
• Augmented Reality (AR) on the field: The next wave of real-time coaching tools
• Developing a long-term AI strategy and governance framework for a sports club
• Practical session: Drafting a "Player Data Rights Agreement" for an AI-integrated professional team

Requirements:

• Participants should be reasonably proficient in English.
• Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588