SiliconWit Education Hub

Voltage, current, resistance, capacitors, diodes, transistors, op-amps, power supply design, filters, oscillators, and sensor signal conditioning. A practical reference for anyone working with hardware.

Start Analog Electronics

Binary and hex, logic gates, combinational circuits, flip-flops, shift registers, counters, memory, bus interfaces, ADC/DAC, and microcontroller architecture. Understand what happens inside the MCU.

Start Digital Electronics

Bare-metal C on the AVR. GPIO registers, timers, interrupts, UART, SPI, I2C, ADC, and power management without Arduino abstractions.

Start ATmega328P course

ARM Cortex-M3 from the ground up. Toolchain setup, clock trees, DMA, debugging with SWD/GDB, FreeRTOS integration, and production firmware.

Start STM32 course

Connect real hardware to the STM32 Blue Pill using CubeIDE. GPIO, ADC, PWM, I2C, SPI, UART, RFID, stepper motors, CAN bus, and a multi-sensor capstone.

Start Sensor/Actuator course

Dual-core ESP32 with ESP-IDF. Wi-Fi, Bluetooth LE, MQTT, HTTP server, OTA updates, secure boot, deep sleep, and a connected sensor network project.

Start ESP32 course

RP2040 with the Pico SDK. PIO state machines, multicore programming, DMA pipelines, USB device classes, MicroPython, and Pico W wireless.

Start RPi Pico course

Real-time operating system concepts across platforms. Tasks, scheduling, queues, semaphores, memory management, software timers, and Zephyr RTOS.

Start RTOS course

Cross-compilation, kernel builds, device trees, kernel modules, Buildroot, Yocto, system services, and building an edge gateway for MCU sensor networks.

Start Embedded Linux course

Schematic capture to fabrication. Through-hole to four-layer SMD boards for ATmega328P, STM32, ESP32, and RP2040, plus code-based PCB scripting.

Start PCB Design course

From sensor to cloud. MQTT brokers, multi-MCU clients, Grafana dashboards, REST APIs, alerts and automation, device security with TLS, and a production monitoring capstone.

Start IoT Systems course

Machine learning on microcontrollers. Edge Impulse workflows, TFLite Micro deployment, quantization, keyword spotting, gesture recognition, anomaly detection, and edge-cloud hybrid architectures.

Start Edge AI course

Stress, strain, and failure analysis in mechatronic components. Thermal stresses, torsion, pressure vessels, bending, deflection, composite beams, and principal stress analysis.

Start Mechanics of Materials

2D mechanism analysis. Kinematic joints, position analysis, velocity with instantaneous centers, acceleration, cam-follower systems, and force analysis with mechanism synthesis.

Start Planar Mechanics

3D rotations, homogeneous transformations, DH parameters, and matrix methods for spatial linkage modeling. Builds toward robotics.

Start Spatial Mechanics

Robot arm geometry, forward and inverse kinematics, quaternions, Jacobian velocity analysis, trajectory planning, and simulation.

Start Robotics

Nine mechanism projects in FreeCAD: slider-crank, four-bar linkage, scissor lift, toggle clamp, pantograph, cam-follower, Geneva, scotch yoke, and Python scripting for advanced CAD.

Start FreeCAD CAD course

Programmatic CAD with CadQuery. Parametric hardware libraries, involute gears, PCB enclosures, heat sinks, lattice structures, spring design, and FEA-driven optimization.

Start Code-Based Design

Modeling, calculus, linear algebra, complex numbers, probability, differential equations, Fourier analysis, numerical methods, and feedback control. The math engineers use most, taught through real problems.

Start Applied Mathematics

Build it in simulation before you build it in hardware. Battery discharge, circuit response, thermal analysis, PID tuning, sensor fusion, signal processing, Monte Carlo, and system identification. Complete Python projects.

Start Modeling and Simulation

Machine learning from curve fitting to deployment. Linear regression, classification, decision trees, gradient descent, neural networks from scratch, scikit-learn workflows, real sensor data, and model deployment. Complete Python code in every lesson.

Start ML/AI Fundamentals

Logical fallacies, cognitive biases, statistical pitfalls, misleading charts, estimation under uncertainty, correlation vs causation, debugging as reasoning, and engineering decision frameworks. The thinking skills that make everything else work better.

Start Critical Thinking

What makes something scientific, falsifiability, paradigm shifts, the limits of models, engineering ethics, technology and society, and thinking like a scientist-engineer. Popper, Kuhn, and Feynman applied to real engineering practice.

Start Philosophy of Science