Now Running · Quarterly Cohorts

3-Day AI-Powered Motor,
Inverter, Hardware &
Firmware Design.

Hands-on training in AI-enhanced motor design, open-source inverter development, PCB layout, STM32 firmware programming, and digital twin creation. No expensive software licenses. Real tools. Real systems.

3
Intensive Days
50+
Engineers Trained
₹0
Software License Cost
2
Formats: In-Person + Online
Curriculum

Three days. Full system.
Concept to digital twin.

1
Day One
Open Source AI-Powered Motor Fundamentals
Topics Covered
  • AI-Enhanced BLDC/PMSM fundamentals and dynamic modeling
  • Genetic algorithms for motor topology optimization
  • Neural networks for thermal analysis and prediction
  • Open-source FEA with FEMM — magnetic and thermal
  • Dynamic simulation: LTSpice, ngspice, QUCS
Tools Used
Python / SciPy / NumPy FEMM (Open FEA) LTSpice ngspice QUCS Jupyter Notebooks
2
Day Two
Intelligent Inverter & Open Source Hardware Mastery
Topics Covered
  • AI-optimized power stage design and gate drive
  • KiCad PCB design — multi-layer, EMI-controlled routing
  • STM32 programming with Arduino IDE and PlatformIO
  • FreeRTOS real-time operating system fundamentals
  • AI-FOC implementation — complete motor control integration
Tools Used
KiCad (PCB) STM32 Arduino IDE PlatformIO FreeRTOS AI-FOC Algorithm
3
Day Three
Advanced AI Simulation & Digital Twin Creation
Topics Covered
  • FEMM scripting for automated FEA optimization
  • Elmer FEM for 3D electromagnetic analysis
  • AI-enhanced sensorless control with neural networks
  • Digital twin development: Python + InfluxDB
  • Cloud IoT monitoring and production deployment
Tools Used
FEMM Scripting Elmer FEM 3D Python InfluxDB Cloud IoT Neural Networks
Registration

Secure your seat.

Cohorts are quarterly and seats are limited. Contact us to register for the upcoming batch or to arrange a corporate on-site delivery at your facility.

Per Participant — All Categories
Engineers · Managers · Faculty · Students
$995
FLAT RATE · ALL PARTICIPANTS
Register Now — Contact Us →
What You Take Away
  • Complete open-source AI motor and inverter design toolkit
  • Working STM32-based motor control firmware
  • AI-FOC motor control algorithm implementation
  • KiCad PCB design files and templates
  • Digital twin foundation: Python + InfluxDB setup
  • FEMM and Elmer FEM simulation scripts
  • Certificate of completion from Power Flux AI
  • Direct access to Rakesh Dhawan — 35 years of expertise