Embedded Systems Training in Tashkent

Rust for Embedded Systems concentrates on utilizing intermediate-level Rust within resource-constrained, low-level hardware environments. The curriculum covers essential toolchains, safety patterns, real-time considerations, and deployment workflows.

This instructor-led live training, available either online or onsite, is designed for intermediate Rust developers and embedded engineers who aim to develop safe and reliable firmware using Rust.

Upon completing this training, participants will be able to:

• Configure and set up a Rust embedded toolchain alongside a debugging environment.
• Create idiomatic, memory-safe firmware by leveraging no_std and embedded-hal abstractions.
• Design and implement code that handles concurrency and remains safe during interrupts in Rust.
• Deploy, debug, and benchmark Rust firmware on actual hardware.

Format of the Course

• Interactive lectures and discussions.
• Practical labs utilizing physical or simulated hardware.
• Guided exercises featuring incremental code development and live debugging sessions.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Tashkent (online or onsite) is aimed at developers and embedded systems engineers who wish to leverage Rust for embedded systems programming and gain the necessary skills to develop robust and efficient embedded applications.

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

• Set up a development environment for Rust embedded systems programming.
• Understand and work with microcontrollers and their peripherals using Rust.
• Write efficient and reliable code for resource-constrained embedded systems.
• Handle concurrency and real-time requirements in embedded applications.
• Interface with hardware and use low-level abstractions in Rust.
• Apply power management and low-power optimization techniques in embedded systems.

This instructor-led, live training in Tashkent (available online or on-site) is designed for intermediate-level automotive engineers and technicians who wish to gain practical 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 functionality of ECUs within automotive systems.
• Set up and configure Vector tools such as CANoe and CANape.
• Simulate and test ECU communication over CAN and LIN networks.
• Analyze data and perform diagnostics on ECUs.
• Create test cases and automate testing workflows.
• Calibrate and optimize ECUs using practical, hands-on approaches.

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

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

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

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

Upon completing this training, participants will be capable of:

• Grasping the core principles of TinyML and its advantages for edge AI solutions.
• Configuring a development environment suitable for TinyML initiatives.
• Training, optimizing, and deploying AI models on power-efficient microcontrollers.
• Leveraging TensorFlow Lite and Edge Impulse to create practical TinyML applications.
• Enhancing AI models for improved power efficiency and adherence to memory limitations.

Embedded systems are specialized computing platforms engineered to execute specific tasks within broader systems. IoT (Internet of Things) refers to a network of physical devices equipped with sensors and software, enabling them to communicate and share data over the internet.

This instructor-led, live training (available online or onsite) is designed for beginner-level technical professionals seeking to understand and apply embedded systems and IoT concepts using C and microcontroller architectures.

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

• Grasp the architecture and components of embedded systems.
• Write and compile C code for interacting with embedded hardware.
• Utilize microcontroller peripherals such as timers and ADCs.
• Understand the role of embedded systems within IoT architectures.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Tashkent (online or onsite) is designed for engineers who want to learn how to use embedded C to program various microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led, live training in Tashkent, participants will learn how to program Arduino for real-world applications, such as controlling lights, motors, and motion detection sensors. This course focuses on using 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 manage lights, motors, and other devices.
• Understand Arduino's architecture, including its inputs and connectors for add-on devices.
• Integrate third-party components like LCDs, accelerometers, gyroscopes, and GPS trackers to enhance Arduino's capabilities.
• Explore various programming language options, from C to drag-and-drop languages.
• Test, debug, and deploy Arduino to address real-world challenges.

Is C++ suitable for embedded systems such as microcontrollers and real-time operating systems?

Should object-oriented programming be used in microcontrollers?

Is C++ too far removed from the hardware to be efficient?

This instructor-led, live training addresses these questions and demonstrates through discussion and practical exercises how C++ can be used to develop embedded systems with code that is accurate, readable, and efficient. Participants will apply theoretical concepts by creating a sample embedded application in C++.

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

• Understand the principles of object-oriented modelling, embedded software programming, and real-time programming
• Produce code for embedded systems that is compact, fast, and safe
• Avoid code bloat caused by templates, exceptions, and other language features
• Understand the challenges associated with using C++ in safety-critical and real-time systems
• Debug a C++ program on a target device

Audience

• Developers
• Designers

Course Format

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

This instructor-led, live training in Tashkent (online or onsite) is designed for engineers and scientists who want to learn and apply DSP implementations to efficiently handle various signal types and gain better control over multi-channel electronic systems.

Upon completing this training, participants will be able to:

• Set up and configure the necessary software platforms and tools for Digital Signal Processing.
• Grasp the foundational concepts and principles of DSP and its applications.
• Become familiar with DSP components and utilize them in electronic systems.
• Create algorithms and operational functions using DSP results.
• Utilize basic features of DSP software platforms and design signal filters.
• Synthesize DSP simulations and implement various types of filters.

This instructor-led, live training (available online or onsite) is designed for C developers who wish to master embedded C design principles.

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

• Understand the design considerations that ensure reliability in embedded C programs
• Define the functionality of an embedded system
• Establish program logic and structure to achieve desired outcomes
• Design reliable, error-free embedded applications
• Maximize performance on target hardware

Course Format:

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

Course Customization Options:

• To request a customized version of this course, please contact us to arrange.

This two-day course is designed with approximately 60% hands-on labs, delving into the internals, architecture, and development of the Embedded Linux kernel, along with exploring the methods for writing and integrating various types of device drivers.

Who should attend?

Engineers who are interested in Linux kernel development for embedded systems and platforms.

Develop embedded Linux systems from scratch by leveraging industry-standard cross-compilation tools and engaging in hands-on projects. Over the course of two days, this training explores the history of Linux, open-source development models, bootloaders, custom system assembly, build infrastructure, and application debugging. With 60% of the time dedicated to practical implementation, participants will configure bootloaders, compile toolchains, construct filesystems, and perform real-world embedded Linux development tasks.

This training introduces C++ as the natural evolutionary extension of C for developing object-oriented embedded systems. Because C++ builds upon C, this course guides learners from C to C++ in a logical sequence while exploring the underlying implementation mechanisms. Understanding these mechanics is particularly crucial when utilizing C++ in embedded environments with limited resources. The C++ standard has recently undergone significant updates with the introduction of C++11, and is continuing to evolve with C++14. This course focuses on key features introduced in these revisions that are highly beneficial for embedded development, such as high-performance memory management, concurrency in multicore environments, and low-level programming for bare-metal hardware.

GOAL/BENEFITS

The primary objective of this course is to enable you to apply C++ in a "correct" and effective manner.

• Present C++ as an object-oriented alternative for embedded system development
• Highlight both the similarities and differences between C++ and C
• Understand various memory management techniques, with a specific focus on move semantics introduced in C++11
• Examine the underlying mechanics to understand how different C++ paradigms translate into machine code
• Leverage templates to create type-safe, high-level abstractions for bare-metal programming, including memory-mapped I/O and interrupts, particularly using variadic templates from C++11
• Explore design patterns that are especially applicable to embedded contexts
• Participate in practical exercises to reinforce key concepts

AUDIENCE/PARTICIPANTS

This training is designed for C++ programmers who wish to begin applying C++ in embedded system projects.

PREVIOUS KNOWLEDGE

Participants are expected to have foundational knowledge of C++, equivalent to that covered in our "C++ – Level 1" and "C++ Level 2 – Introducing C++11" courses.

PRACTICAL EXERCISES

Throughout the training, you will practice the concepts presented through a series of exercises. We will utilize the open-source, free Integrated Development Environment (IDE) from Eclipse.

This instructor-led, live training in Tashkent (online or onsite) is aimed at engineers who wish to design high-performance embedded systems using FPGA.

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

• Install and configure the FPGA software tools needed to design and simulate an embedded system.
• Select the best FPGA architecture for an application.
• Develop and enhance various FPGA designs.

In this instructor-led live training in Tashkent, participants will learn how to code using FreeRTOS by stepping through the development of a simple RTOS project on 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.
• Acquire skills in coding with FreeRTOS.
• Interface FreeRTOS applications with hardware peripherals.

Embedded Linux and Yocto constitute a robust build framework and development ecosystem designed for creating custom Linux distributions tailored to embedded devices.

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

Upon completing this training, participants will be able to:

• Comprehend the architecture of an embedded Linux system on an i.MX6 platform, including the bootloader, kernel, device tree, and root filesystem.
• Establish a build environment utilizing the Yocto Project (Poky and BitBake) for the i.MX6 board.
• Construct a custom Linux image, flash it onto the hardware, and execute user-space applications.

This course provides an introduction to Real-Time Operating System (RTOS) based software design for embedded systems and IoT applications. Participants will explore fundamental RTOS concepts, synchronization mechanisms, and practical software design scenarios utilizing RTOS. Hands-on exercises are conducted using STM32 Nucleo 144 development boards or equivalent hardware platforms.

This instructor-led live training, conducted in Tashkent (online or onsite), targets engineers looking to implement NetApp ONTAP.

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

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

This instructor-led, live training in Tashkent (online or onsite) is tailored for developers who wish to use C to apply object-oriented programming techniques and enhance software design.

By the end of this training, participants will be able to: implement object-oriented concepts in C, design modular applications, apply encapsulation and abstraction, and structure maintainable codebases.

This guided, live training session (online or in-person) is designed for embedded engineers and system administrators who aim to build, customize, and deploy OpenBMC firmware for server management.

This live, instructor-led training, available online or onsite, is designed for hardware validation and system test engineers who want to implement, test, and troubleshoot IPMI and sensor management on OpenBMC platforms.

This instructor-led live training (available online or onsite) is designed for security engineers and firmware developers aiming to strengthen OpenBMC deployments against unauthorized access and firmware tampering.

This instructor-led, live training (online or onsite) is aimed at embedded Linux developers who wish to master the OpenBMC build system, customize layers, and create production-ready BMC firmware images.

The RISC-V ecosystem has evolved from a niche open-source Instruction Set Architecture (ISA) into a mainstream architecture with significant momentum across edge computing, IoT, automotive, AI acceleration, and server-class processors. Industry reports highlight a critical talent shortage: there are fewer than 5,000 RISC-V chip designers globally, while the semiconductor industry has an estimated demand for over 15,000 positions. Key hiring trends indicate that employers prioritize proficiency in RISC-V architecture combined with SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain skills. 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 RISC-V development, driving demand for engineers who can bridge architecture specification, silicon implementation, firmware, and software stack development within a single skill set.

In this instructor-led, live training in Tashkent, 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.

This course offers a thorough introduction to the Zig programming language, exploring its syntax, memory management techniques, application development processes, and advanced functionalities. Participants will acquire practical skills in leveraging Zig's distinctive approach to safety, performance, and interoperability, establishing it as a robust alternative to C and Rust. The curriculum incorporates hands-on exercises designed to reinforce learning and boost confidence in developing efficient and reliable Zig applications.