Object Oriented Programming with C++ Training Course

This instructor-led, live training in France (online or onsite) is designed for engineers who want to master embedded C programming for various microcontroller types across different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led live training in France, 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 France (online or onsite) is designed for engineers and scientists who wish to learn and apply DSP techniques to efficiently manage various signal types and gain better control over multi-channel electronic systems.

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

• Set up and configure the necessary software platforms and tools for Digital Signal Processing.
• Grasp the core concepts and principles underpinning DSP and its practical applications.
• Become familiar with DSP components and know how to integrate them into electronic systems.
• Develop algorithms and operational functions based on DSP results.
• Utilize fundamental features of DSP software platforms to design signal filters.
• Create DSP simulations and implement various types of filters for DSP.

This instructor-led live training, available both online and onsite, is designed for C developers seeking to master the principles of embedded C design.

Upon completion of this course, participants will be capable of:

• Grasping the design considerations that ensure the reliability of embedded C programs
• Articulating the functionality of an embedded system
• Establishing the program logic and structure required to achieve desired outcomes
• Developing reliable, error-free embedded applications
• Extracting optimal performance from the target hardware

Course Format:

• Interactive lectures and discussions
• Exercises and practical practice
• Hands-on implementation within a live laboratory environment

Customization Options:

• To arrange customized training for this course, please contact us.

This instructor-led, live training in France (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.
• Analyze data and perform diagnostics on ECUs.
• Create test cases and automate testing workflows.
• Calibrate and optimize ECUs using practical approaches.

This instructor-led, live training in France (online or onsite) targets 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 two-day program includes approximately 60% hands-on labs, focusing on the internals of the Embedded Linux kernel, its architecture, and development. Participants will explore how to create and integrate various types of device drivers.

Who should attend?

This course is designed for engineers interested in developing Linux kernels for embedded systems and platforms.

Construct embedded Linux systems from the ground up using industry-standard cross-development tools and practical projects. This two-day course covers the history of Linux, open-source development models, bootloaders, custom system construction, build systems, and application debugging. With 60% practical implementation time, participants will configure bootloaders, compile toolchains, build filesystems, and perform real-world embedded Linux development tasks.

In this instructor-led live training in France, participants will learn how to code using FreeRTOS while guiding them through the development of a simple RTOS project on a microcontroller.

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

• Understand the fundamental concepts of real-time operating systems.
• Familiarize themselves with the FreeRTOS environment.
• Learn how to code using FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

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

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

• Grasp the fundamentals of TinyML and its advantages for edge AI applications.
• Configure a development environment tailored for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Utilize TensorFlow Lite and Edge Impulse to build real-world TinyML solutions.
• Optimize AI models to meet power efficiency and memory limitations.

This instructor-led, live training in France (online or onsite) is aimed at engineers who wish to implement NetApp ONTAP.

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

• Set up and administer ONTAP 9.3 Cluster (3 days).
• Safeguard data through Data Protection technologies (2 days).

The RISC-V ecosystem has evolved from a niche open-source instruction set architecture (ISA) into a mainstream architectural choice, gaining significant market traction across edge computing, the Internet of Things (IoT), automotive systems, 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+ open roles within the semiconductor sector. Current hiring trends indicate that employers are prioritizing candidates who possess RISC-V architecture proficiency alongside skills in System-on-Chip (SoC) design, RTL verification using UVM and SystemVerilog, AI accelerator development, Rust-based systems programming, confidential computing, and open-source toolchain expertise. The most rapidly 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 are accelerating their RISC-V development efforts, thereby increasing demand for engineers capable of bridging architecture specifications, silicon implementation, firmware, and software stack development within a unified skill set.

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