Object Oriented Programming with C++ Training Course

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

In this instructor-led, live training in the UAE, 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 the UAE (available online or onsite) targets engineers and scientists eager to learn and apply DSP implementations to efficiently handle diverse signal types and achieve better control over multi-channel electronic systems.

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

• Install and configure the necessary software platforms and tools for Digital Signal Processing.
• Understand the foundational concepts and principles of DSP and its applications.
• Become proficient with DSP components and utilize them in electronics systems.
• Create algorithms and operational functions using DSP results.
• Use basic features of DSP software platforms to design signal filters.
• Develop DSP simulations and implement various filter types for DSP.

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

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

• Grasp the design considerations essential for ensuring the reliability of embedded C programs.
• Define the functionality of an embedded system.
• Establish the program logic and structure required to achieve the desired outcomes.
• Design reliable and error-free embedded applications.
• Maximize the performance of the target hardware.

Course Format:

• Interactive lectures and discussions.
• Exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options:

• To request a customized training for this course, please contact us to arrange it.

This live, instructor-led training in the UAE (online or onsite) is tailored for intermediate-level automotive engineers and technicians seeking practical experience in testing, simulating, and diagnosing ECUs using Vector tools like CANoe and CANape.

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

• Gaining insight into the role and functionality of ECUs within automotive frameworks.
• Establishing and configuring Vector tools like CANoe and CANape.
• Simulating and evaluating ECU communication across CAN and LIN networks.
• Conducting data analysis and performing diagnostics on ECUs.
• Developing test scenarios and automating testing processes.
• Calibrating and refining ECUs through practical methodologies.

This instructor-led live training in the UAE (online or onsite) targets intermediate-level automotive engineers and embedded systems developers who aim to grasp the theoretical aspects of ECUs, emphasizing Vector-based tools and methodologies employed 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 offers an intensive learning experience, with approximately 60% dedicated to practical labs. The course delves into Embedded Linux kernel internals, architecture, and development, while exploring techniques for writing and integrating various types of device drivers.

Who should attend?

This course is ideal for engineers who wish to pursue Linux kernel development within embedded systems and platforms.

Develop embedded Linux systems from the ground up 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 execute real-world embedded Linux development tasks.

In this instructor-led live training in the UAE, participants will learn how to code using FreeRTOS as they step through the development of a simple RTOS project using a microcontroller.

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

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

This instructor-led, live training in the UAE (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.
• Leverage TensorFlow Lite and Edge Impulse to build real-world TinyML applications.
• Enhance AI models for improved power efficiency and adherence to memory limitations.

This instructor-led, live training in the UAE (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 specialized open-source instruction set architecture (ISA) into a mainstream choice with strong market growth in edge computing, IoT, automotive sectors, AI acceleration, and server-class processors. Industry analyses highlight a significant talent gap: there are fewer than 5,000 RISC-V chip designers worldwide, yet over 15,000 positions remain open in the semiconductor industry. Current hiring trends indicate that employers prioritize candidates proficient in RISC-V architecture combined with skills in SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchains. The most rapidly growing competency areas include automotive-grade RISC-V (ISO 26262 compliance), 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 RISC-V development, creating high demand for engineers who can seamlessly bridge architecture specifications, silicon implementation, firmware, and software stack development within a single skill set.

In this instructor-led live training held in the UAE, 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 able to:

• Grasp the fundamental concepts behind a Yocto Project build system, covering recipes, metadata, and layers.
• Build a Linux image and operate it under emulation.
• Optimize processes to save time and energy in building embedded Linux systems.