Online Microcontroller Training in Nepal

This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level embedded systems engineers and AI developers who wish to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

By the end of this training, participants will be able to:

• Understand the fundamentals of TinyML and its benefits for edge AI applications.
• Set up a development environment for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Use TensorFlow Lite and Edge Impulse to implement real-world TinyML applications.
• Optimize AI models for power efficiency and memory constraints.

This instructor-led, live training in Nepal (online or onsite) is aimed at engineers who wish to learn how to use embedded C to program various types of microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led, live training in Nepal, participants will learn how to program the Arduino for real-world usage, such as to control lights, motors and motion detection sensors. This course assumes the use of real hardware components in a live lab environment (not software-simulated hardware).

By the end of this training, participants will be able to:

• Program Arduino to control lights, motors, and other devices.
• Understand Arduino's architecture, including inputs and connectors for add-on devices.
• Add third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend Arduino's functionality.
• Understand the various options in programming languages, from C to drag-and-drop languages.
• Test, debug, and deploy the Arduino to solve real world problems.

The course covers the aspects of modern C language dialects (C99, C11, C2x) related to embedded programming and guidelines for efficient and error-immune programming techniques. The examples/exercises are implemented on STM32 family microcontrollers.

Design and develop USB device firmware on STM32 microcontrollers using STM32CubeIDE. This embedded Systems training explores USB interface fundamentals, device classes, USB descriptors, control interfaces, middleware architecture, and interrupt-driven code structure through hands-on exercises building HID, CDC, and Mass storage devices. Embedded developers gain the practical expertise to integrate USB peripherals into ARM-based firmware projects from prototype to production-ready results.