AI for Performance Tracking Wearables

-- viewing now

AI for Performance Tracking Wearables revolutionizes fitness and sports training. These smart devices use advanced sensors and machine learning algorithms.

4.0
Based on 3,804 reviews

2,424+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

About this course

They analyze biometric data like heart rate, sleep patterns, and activity levels. Personalized insights and performance metrics are delivered via user-friendly apps. Target audiences include athletes, fitness enthusiasts, and healthcare professionals. Improved training efficiency and injury prevention are key benefits. Real-time feedback empowers users to optimize their performance. Explore the exciting world of AI-powered wearables today! Learn more and discover how these technologies can transform your life.

100% online

Learn from anywhere

Shareable certificate

Add to your LinkedIn profile

2 months to complete

at 2-3 hours a week

Start anytime

No waiting period

Course details

• Heart Rate (BPM)
• Steps Taken
• Calories Burned
• Sleep Duration (Hours)
• Sleep Stages (Light, Deep, REM)
• Distance Traveled (km or miles)
• Active Minutes
• SpO2 (Blood Oxygen Saturation)
• Stress Level
• Resting Heart Rate

Career path

AI for Performance Tracking Wearables: Career Roles in the UK Salary Range (£) Job Market Trend
AI Data Scientist (Wearables): Develops and implements machine learning algorithms for performance analysis from wearable data. Primary skills include Python, TensorFlow, and experience with sensor data. 45,000 - 75,000 High Demand
AI Engineer (Performance Tracking): Designs and builds AI systems integrated into wearable devices for performance monitoring. Secondary skills: C++, embedded systems, IoT. 50,000 - 80,000 Growing Rapidly
Biomedical Engineer (AI Wearables): Focuses on the biological aspects of wearable AI, ensuring accuracy and safety in performance tracking. Primary skills: Physiology, signal processing, machine learning. 40,000 - 65,000 Steady Growth
Software Engineer (Wearable AI): Develops software applications interacting with AI-powered wearables, processing and presenting performance data. Secondary skills: Cloud computing (AWS, Azure), mobile app development. 48,000 - 70,000 High Demand

Entry requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

Why people choose us for their career

Loading reviews...

Frequently Asked Questions

What makes this course unique compared to others?

How long does it take to complete the course?

What support will I receive during the course?

Is the certificate recognized internationally?

What career opportunities will this course open up?

When can I start the course?

What is the course format and learning approach?

Course fee

MOST POPULAR
Fast Track GBP £140
Complete in 1 month
Accelerated Learning Path
  • 3-4 hours per week
  • Early certificate delivery
  • Open enrollment - start anytime
Start Now
Standard Mode GBP £90
Complete in 2 months
Flexible Learning Pace
  • 2-3 hours per week
  • Regular certificate delivery
  • Open enrollment - start anytime
Start Now
What's included in both plans:
  • Full course access
  • Digital certificate
  • Course materials
All-Inclusive Pricing • No hidden fees or additional costs

Get course information

We'll send you detailed course information

Pay as a company

Request an invoice for your company to pay for this course.

Pay by Invoice

Earn a career certificate

Sample Certificate Background
AI FOR PERFORMANCE TRACKING WEARABLES
is awarded to
Learner Name
who has completed a programme at
London School of International Business
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
}
SSB Logo

4.8
New Enrollment
View Course