FPGA Design for Embedded Systems 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.

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, available online or onsite, is designed for C developers looking to master embedded C design principles.

Upon completion of this training, participants will be able to:

• Grasp the design considerations essential for creating reliable embedded C programs
• Clearly define the functionality of an embedded system
• Structure program logic to achieve desired outcomes
• Design robust, error-free embedded applications
• Extract optimal performance from target hardware

Course Format:

• Interactive lectures and discussions
• Guided exercises and practice sessions
• Hands-on implementation in a live laboratory environment

Course Customization Options:

• For tailored training requests, please contact us to make arrangements.

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.

This intensive two-day course features approximately 60% hands-on laboratory sessions designed to delve into Embedded Linux kernel internals, architecture, and development practices. Participants will explore the methodologies for writing and integrating various types of device drivers.

Who should attend?

This programme is tailored for engineers keen on Linux kernel development within the context of embedded systems and platforms.

Develop embedded Linux systems from scratch using industry-standard cross-development tools and hands-on projects. This two-day course explores Linux history, open-source development models, bootloaders, custom system construction, build systems, and application debugging. With 60% practical implementation time, participants configure bootloaders, compile toolchains, construct filesystems, and perform real-world embedded Linux development tasks.

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.

Embedded Linux and the Yocto Project form a build framework and development ecosystem utilized to create custom Linux distributions for embedded devices.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate embedded developers who wish to employ Embedded Linux and the Yocto Project to build, customize, and deploy Linux-based systems on an i.MX6 hardware platform.

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

• Understand the architecture of an embedded Linux system on an i.MX6 platform (including the bootloader, kernel, device tree, and root filesystem).
• Set up a build environment using the Yocto Project (Poky + BitBake) for the i.MX6 board.
• Build a custom Linux image, flash it onto the hardware, and run user-space applications.

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.

The RISC-V ecosystem has evolved from a specialized open-source Instruction Set Architecture (ISA) into a mainstream architecture, gaining significant momentum across edge computing, IoT, automotive sectors, AI acceleration, and server-grade processors. Industry analyses highlight a pressing talent gap: there are fewer than 5,000 RISC-V chip designers worldwide compared to an estimated 15,000 or more open positions in the semiconductor industry. Key hiring trends indicate that employers prioritize proficiency in RISC-V architecture alongside SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain expertise. The fastest-growing competency areas include automotive-grade RISC-V (ISO 26262), server-class processors featuring AIA interrupt controllers and multi-core coherence, and edge AI inference NPUs. Companies such as SiFive, Qualcomm, and Western Digital have accelerated their RISC-V development efforts, driving demand for engineers capable of bridging architecture specification, silicon implementation, firmware, and software stack development within a unified skill set.

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

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

• Understand the fundamental concepts behind a Yocto Project build system, including recipes, metadata, and layers.
• Build a Linux image and run it under emulation.
• Save time and energy building embedded Linux systems.