AI for Electronics
Where machine learning genuinely helps an electronics engineer — surrogate models for EM simulation, optimisation loops, and the Python to run them.
Episodes
What this series covers
8 topics. Each one is an episode with its own worked examples.
- 01AI for Circuit Design
- 02AI for RF Design
- 03Python for Engineering
- 04Data Analysis
- 05Surrogate Models
- 06EM Simulation Automation
- 07Optimization
- 08Machine Learning for Engineering
Episode releases are announced on the community channels first. The topic list above is the committed scope for this series.
Resources
Material for this series
Notes, formula sheets and guides that stay useful after the episodes.
HFSS — Your First Correct Model
A step-by-step build of a microstrip patch, with the setup mistakes that silently produce plausible wrong answers called out at each step.
ADS — Matching Network Walkthrough
Build a matching network in ADS, verify it on the Smith chart, and check the result against the hand calculation.
Python for RF Engineers
scikit-rf, touchstone files, plotting S-parameters and automating a parameter sweep. Notebook included.
MATLAB for Antenna Analysis
Computing and plotting radiation patterns, array factors and beamwidths from first principles rather than from a toolbox call.
Projects
Built with these ideas
Surrogate Model for Patch Optimisation
A full-wave solve per design point made an optimisation loop impractically slow.
Related Courses
Take it further
Structured programmes covering the same ground in more depth, with a deliverable at the end.
Antenna Design with HFSS
Model, simulate and verify real antennas — and learn to tell a converged result from a pretty one.
- Duration
- 6 weeks
- Modules
- 6
- Certificate
- Yes
- Price
- Pricing on registration
Tools used: Ansys HFSS · MATLAB