Machine Learning For Electric Vehicles
What you'll learn
- Explain the fundamental components and working of electric vehicles.
- Understand supervised, unsupervised, and reinforcement learning.
- Predict EV battery life and optimize charging cycles.
- Understand the types of data collected by EVs (e.g., GPS, battery, motor temperature).
Requirements
- Basic Knowledge of Python Programming
- Fundamentals of Machine Learning
- Basic Understanding of Mathematics
- Interest in Electric Vehicles or Automotive Technology
Description
Are you passionate about electric vehicles and curious about how machine learning is transforming the future of clean mobility?
"Machine Learning for Electric Vehicles" is a hands-on course designed for engineers, data scientists, students, and professionals who want to apply machine learning techniques to solve real-world challenges in the EV industry.
Whether you're aiming to predict battery life, optimize charging patterns, perform predictive maintenance, or analyze sensor data from EVs—this course gives you the tools, skills, and confidence to make it happen.
What You’ll Learn:
The fundamentals of electric vehicle systems and their data sources.
Core machine learning concepts with real-world EV use cases.
How to build predictive models for EV battery health and range estimation.
Practical applications like smart charging, vehicle diagnostics, and energy optimization.
Techniques for working with time-series and sensor data using Python.
How to evaluate, improve, and deploy ML models in EV scenarios.
Who This Course Is For:
Engineering or computer science students interested in electric mobility.
Data scientists and ML enthusiasts looking to work on impactful projects.
Automotive professionals transitioning into the EV and AI space.
Researchers, clean-tech innovators, and EV startup founders.
No prior experience with electric vehicles is required—just basic Python and a passion for innovation!
Join now and start building the future of smart, sustainable transportation with machine learning.
Who this course is for:
- Engineering Students (Electrical, Electronics, Mechanical, or Computer Science)
- Data Science & Machine Learning Enthusiasts
- Professionals in the Automotive and EV Industry
- Researchers & Academics
- Startups & Entrepreneurs in Clean Tech and EV Space
- Tech Hobbyists and Tinkerers
- Government or NGO Professionals in Smart City or Energy Sectors
Instructor
- 3.9 Instructor Rating
- 180 Reviews
- 3,208 Students
- 18 Courses
Tanzeel Ur Rehman
Udemy Instructor
Youtuber
PhD Scholar Electrical Engineering (Electric Vehicles)
Power Electronics Converters
Renewable Energy
Energy Storage System
Batteries
Control Systems
As Founder/CEO Indus Electric Electric Two Wheeler (Electric Motorcycle Company) with vision to introduce indigenous and Retrofit/Converted Motorcycle and also new Models in Market by research, design, development,innovation, technology and commercialization growth and scalability.
As PhD Scholar major in EV research and development and knowledge of electric vehicle technology and industry as leadership role.
As founding HoD Department of Engineering Technology at renowned and prestigious university where my prime role to provide strong academic leadership to lead, manage and develop the department to ensure it achieve the highest possible standard of excellence in all activities supported by faculty and administration (VC & Registrar) office with leadership and management, responsibility for teaching and students, research, technology innovation,incubation, acceleration, commercialization, knowledge transfer, people management, financial management and quality assurance.
As GM Utilities (Power Generation, Boiler, Compressor) at one of the leading multinational garment industry oversee the activities of utilities division.