Khadija Academy Premium Membership

Get Access to More Than A Hundred Electrical Engineering Classes!

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Khadija Academy Premium Membership

Our membership program gives you access to all of our Khadija Academy electrical engineering courses. Pay monthly or pay a one-time fee that gives you lifetime access, meaning you never have to pay for one of our courses again.


Why Khadija Academy?

  • Global - Join 80K+ fellow learners from 198 countries around the world.
  • Practical - Learn by doing, with step-by-step tutorials and project-based learning.
  • Happiness Guarantee - If you don't like the membership, you can cancel it anytime from the account.


Why Become A Lifetime Member?

  • 100+ courses in electrical engineering basics, power engineering career preparation, electrical design, solar energy, and much more.
  • Save more than 4000$ off the individual course prices for one low monthly price, or one low lifetime price.
  • Never pay for another course again! Once you become a member, you get all of our new courses.
  • Follow the Learning Paths to go from beginner to advanced in any topic.
  • The classes have English, German, Spanish, French, Arabic, and Hindi subtitles for a much easier learning process for our students.


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You will find more than 100 classes on:

  • Electric Circuits.
  • Electrical Machines.
  • Power Electronics and Electrical Protection.
  • Electrical Design.
  • Renewable Energy.
  • Electrical Substations, Generation, and High Voltage.
  • Power System Stability.
  • MATLAB Simulink.
  • Surge Protective Devices.
  • Lightning Protection Design.
  • Electric Traction.
  • Control of DGs in the Power System.
  • Automatic Control Theory in Electrical Engineering.

You can learn more about these classes using this blueprint that will guide you through the classes:

Click Here to Download

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Some of our Students' Reviews

You will also be rewarded with a certificate of completion after completing each path in the academy blueprint:

Your Instructor


Khadija Academy
Khadija Academy

Khadija Academy was founded by engineer Ahmed Mahdy who is an electrical power engineer and researcher. He is also an electrical bestselling instructor at more than 30 platforms, teaching electrical engineering, and has helped more than 80,000 students from 198 countries achieve career success with simple and easy courses in the last 8 years.

In 2018, he was nominated among the top 10% of instructors on Udemy, besides currently ranking among the top instructors in the engineering sector of Udemy.


He also received the award for the best master's thesis in the Faculty of Engineering - Ain Shams University for 2022/2023.


Some of his published research works in the top electrical engineering journals worldwide:

1- Transient stability improvement of wave energy conversion systems connected to the power grid using anti-windup-coot optimization strategy - Energy Journal - Impact Factor of 9.0.

https://www.sciencedirect.com/science/article/abs/...

2- Nonlinear Modeling and Real-Time Simulation of a Grid-Connected AWS Wave Energy Conversion System - IEEE Transactions on Sustainable Energy - Impact Factor of 8.8.

https://ieeexplore.ieee.org/document/9772340


3- Modeling and optimal operation of hybrid wave energy and PV system feeding supercharging stations based on golden jackal optimal control strategy - Energy Journal - Impact Factor of 9.0.

https://www.sciencedirect.com/science/article/abs/...

4- State-of-the-Art of the most commonly adopted wave energy conversion systems - Ain Shams Engineering Journal - Impact Factor of 6.0.

https://www.sciencedirect.com/science/article/pii/...


5- Optimal Design of Fractional-Order PID Controllers for a Nonlinear AWS Wave Energy Converter Using Hybrid Jellyfish Search and Particle Swarm Optimization - Fractal and Fractional - Impact Factor of 5.4

https://www.mdpi.com/2504-3110/8/1/6


6- Dynamic performance enhancement of nonlinear AWS wave energy systems based on optimal super-twisting control strategy - Ain Shams Engineering Journal - Impact Factor of 6.0.

https://doi.org/10.1016/j.asej.2024.102732


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