ARM Technology Training Course

This instructor-led, live training in India (online or onsite) is designed for engineers looking to master embedded C programming for various microcontrollers across different processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led live training in India, 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.

Buildroot is an open-source initiative comprising scripts that generate a cross-compilation toolchain, a customizable root filesystem image, and a Linux kernel tailored for embedded devices. In this hands-on course, participants will acquire the skills to:

• Select the software components to include in the root filesystem.
• Introduce new packages and modify existing ones.
• Implement support for new embedded boards.

Participants will produce bootable filesystem images during the course. Remote sessions utilize the QEMU emulator, while in-person classes allow the use of either QEMU or actual embedded boards selected by the instructor.

Other projects with similar objectives include the Yocto Project and OpenWRT. Please review these presentations to determine which tool best suits your requirements.

This instructor-led live training in India (online or onsite) is designed for engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize electrical component properties for hardware functionality development.

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

• Set-up and configure the necessary tools and programs for circuits and circuit board development.
• Understand the basic principles behind circuits and electronics engineering.
• Utilize the primary electronic components in constructing efficient computer hardware technologies.
• Optimize electronic devices by implementing circuit analysis methods.
• Apply the fundamentals of electronics and circuits to the development of enterprise applications.

This instructor-led, live training in India (online or onsite) is aimed at engineers and scientists who wish to learn and apply DSP implementations to efficiently handle different signal types and gain better control over multi-channel electronic systems.

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

• Setup and configure the necessary software platform and tools for Digital Signal Processing.
• Understand the concepts and principles that are foundational to DSP and its applications.
• Familiarize themselves with DSP components and employ them in electronics systems.
• Generate algorithms and operational functions using the results from DSP.
• Utilize the basic features of DSP software platforms and design signal filters.
• Synthesize DSP simulations and implement various types of filters for DSP.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level automotive engineers and technicians who wish to gain hands-on experience in testing, simulating, and diagnosing ECUs using Vector tools like CANoe and CANape.

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

• Understand the role and function of ECUs in automotive systems.
• Set up and configure Vector tools such as CANoe and CANape.
• Simulate and test ECU communication on CAN and LIN networks.
• Analyse data and perform diagnostics on ECUs.
• Create test cases and automate testing workflows.
• Calibrate and optimise ECUs using practical approaches.

This instructor-led, live training in India (online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers who wish to understand the theoretical aspects of ECUs, focusing on Vector-based tools and methodologies used in automotive design and development.

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

• Understand the architecture and functions of ECUs in modern vehicles.
• Analyze communication protocols used in ECU development.
• Explore Vector-based tools and their theoretical applications.
• Apply model-based development principles to ECU design.

In this instructor-led, live training in India, participants will learn to code using FreeRTOS by stepping through the development of a simple RTOS project using a microcontroller.

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

• Grasp the fundamental concepts of real-time operating systems.
• Familiarize themselves with the FreeRTOS environment.
• Develop proficiency in coding with FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

This instructor-led live training in India (online or in-person) is targeted at FPGA developers who wish to utilize Vivado for designing, debugging, and implementing hardware solutions.

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

• Develop HDL systems with C code and Vivado tools.
• Generate and implement soft processors in Vivado.
• Test and simulate C code using Vivado.

The LEDE Project (Linux Embedded Development Environment) is a Linux operating system derived from OpenWrt. It serves as a comprehensive alternative to the proprietary firmware typically supplied by manufacturers for numerous wireless routers and non-network hardware devices.

In this instructor-led live training, participants will acquire the skills necessary to configure a LEDE-based wireless router.

Audience

• Network administrators and technicians

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

This instructor-led, live training in India (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers looking to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

Upon completing this training, participants will be able to:

• Comprehend the core principles of TinyML and its advantages for edge AI applications.
• Configure a development environment suitable for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Utilize TensorFlow Lite and Edge Impulse to build real-world TinyML applications.
• Enhance AI models for power efficiency and manage memory constraints effectively.

This instructor-led, live training in India (online or onsite) is designed for engineers looking to master the design principles of microcontrollers.

A Raspberry Pi is a compact, single-board computer.

Through this instructor-led live training, attendees will gain the skills to configure and program a Raspberry Pi, transforming it into a robust and interactive embedded system.

Upon completing this training, participants will be capable of:

• Configuring an Integrated Development Environment (IDE) to maximise development efficiency
• Programming the Raspberry Pi to manage devices such as motion sensors, alarm systems, web servers, and printers.
• Comprehending the Raspberry Pi's architecture, specifically its inputs and connectors for add-on hardware.
• Evaluating various programming languages and operating system options.
• Testing, debugging, and deploying the Raspberry Pi to address real-world challenges.

Target Audience

• Software developers
• Hardware and software technicians
• Technical professionals across all sectors
• Hobbyists and enthusiasts

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

Important Notes

• The Raspberry Pi is compatible with a wide range of operating systems and programming languages. This course utilises the Linux-based Raspbian operating system and Python as the programming language. If you require a different setup, please contact us to make arrangements.
• Participants must source and purchase their own Raspberry Pi hardware and components.

This instructor-led, live training in India (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices.

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

• Install TensorFlow Lite.
• Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
• Add AI to hardware devices without relying on network connectivity.

In this instructor-led live training in India, participants will learn how to create a build system for embedded Linux based on the Yocto Project.

By the conclusion of this training, participants will be capable of:

• Grasping the core concepts underlying a Yocto Project build system, including recipes, metadata, and layers.
• Constructing a Linux image and executing it within an emulation environment.
• Optimising time and effort when building embedded Linux systems.