Embedded Systems Training in San Francisco Bay Area

This instructor-led, live training in San Francisco Bay Area (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 San Francisco Bay Area (online or onsite) is aimed at 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 instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at intermediate-level embedded systems engineers and AI developers who wish to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

• Understand the fundamentals of TinyML and its benefits for edge AI applications.
• Set up a development environment for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Use TensorFlow Lite and Edge Impulse to implement real-world TinyML applications.
• Optimize AI models for power efficiency and memory constraints.

In this instructor-led, live training in San Francisco Bay Area, participants will learn how to program the Arduino using advanced techniques as they step through the creation of a simple sensor alert system.

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

• Understand how Arduino works.
• Dig deep into the main components and functionalities of Arduino.
• Program the Arduino without using the Arduino IDE.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at engineers who wish to learn how to use embedded C to program various types of microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led, live training in San Francisco Bay Area, 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.

An ARM processor is one of a family of CPUs based on the RISC (reduced instruction set computer) architecture developed by Advanced RISC Machines (ARM).

In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language.

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

• Build and operate a robotic system that includes both software and hardware components
• Understand the key concepts used in robotic technologies
• Assemble motors, sensors and microcontrollers into a working robot
• Design the mechanical structure of a robot

Audience

• Developers
• Engineers
• Hobbyists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:

• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave
• Prototyping board and cables
• USB cable
• Vehicle kit

• Participants will need to purchase their own hardware.
• If you wish to customize this training, please contact us to arrange.

Buildroot is an open-source project that contains scripts that produce a cross-compilation toolchain, a customizable root filesystem image, and a Linux kernel for embedded devices. During this practical course, participants will learn how to use it:

• How to select software that goes into the root filesystem.
• How to add new packages and modify existing ones.
• How to add support for new embedded boards.

During the course, bootable filesystem images will be produced. Remote courses are delivered using the QEMU emulator, while in the classroom it is possible to use either QEMU or real embedded boards of the trainer's choice.

Other projects with similar goals include the Yocto project and OpenWRT. Please use these presentations to determine which one is the right choice for your needs.

The C programming language is perhaps the most popular programming language for programming embedded systems.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize properties of electrical components for the development of hardware functionalities.

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.

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 practice how C++ can be used to develop embedded systems with code that is accurate, readable, and efficient. Participants put theory into practice through the creation of 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 small, fast and safe
• Avoid code bloat from templates, exceptions, and other language features
• Understand the issues related to using C++ in safety-critical and real-time systems
• Debug a C++ program on a target device

Audience

• Developers
• Designers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in San Francisco Bay Area (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.

A two day course covering all design principles with code examples coupled with recent industrial technology; very useful for automotive software developers

This instructor-led, live training (online or onsite) is aimed at C developers wishing to learn embedded C design principles.

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

• Understand the design considerations that make embedded C programs reliable
• Define the functionality of an embedded system
• Define the program logic and structure to obtain the desired result
• Design a reliable, error-free embedded application
• Obtain optimal performance from target hardware

Format of the Course:

• Interactive lecture and discussion
• Exercises and 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.

Course Objectives

To provide an understanding of the essentials of embedded GNU/Linux, how the bits and pieces fit together. What components are needed to build an embedded GNU/Linux system, where to get them from and how to configure/build/install them? Where to get help from? What about those software licenses? Hands-on exercises provide you with the necessary practical experience to go ahead and develop your own embedded GNU/Linux systems after completing this training successfully.

Description

This five day training class uses hands-on exercises combined with instruction to illustrate the concepts of embedded GNU/Linux. It is designed to bring you quickly up to speed. The philosophy, concepts and commands necessary to make effective use of GNU/Linux are described through a combination of theory and on-the-job training.

Don't reinvent the wheel, but learn from an experienced trainer and take home a working knowledge of GNU/Linux and the ability to use it effectively in your own embedded development project.

Who should attend?

Managers, project managers, software-, hardware-, development-, systems engineers, testers, administrators, technicians and other parties interested in the technology, who want to understand as quickly as possible how Embedded GNU/Linux works. You must use GNU/Linux or you have to luxury to decide whether it makes sense to use it or not. Maybe you already tried to use Embedded GNU/Linux, but are not quite sure that you did everything the right way. You currently use a different operating system and wand to figure out whether GNU/Linux might better and/or cheaper.

Delivery Options

All the training material is English, but the presentation of it can be in English or in German, as you wish, worldwide.

• on-site - instructor driven
• on-line - instructor driven
• on-site/on-line combination - instructor driven

A two day course consisting of around 60% hands-on labs focusing on Embedded Linux kernel internals, architecture, development and investigating how to write and integrate several types of device drivers.

Who should attend?

Engineers interested in Linux kernel development on Embedded systems and plateforms.

This is a two day course covering all basic principles of building Embedded linux Systems, around 60% of the entire course time is practical hands-on implementation for real world application using the same standards and tools used in industry

This course demonstrates through hands-on practice the fundamentals of Embedded Computers.

This training intends to introduce C++ as the common extension of C when applying object-oriented embedded system development. Since C++ encloses C, this training takes us from C to C++ in a natural way, and looks under the hood of how C++ is implemented. This is especially valuable to comprehend when applying C++ in an embedded resource limited environment.  The C++ standard has recently been undergoing a major revision, a.k.a. as C++11, and a new one is on its way, C++14. This course addresses subjects brought in with these revisions that are especially useful like high performance memory management, concurrency making use of a multicore environment, and bare-metal close to the hardware programming.

GOAL/BENEFITS

The major objective of this class is that you shall be able to use C++ in a “correct way”.

• Introduce C++ as an object oriented language alternative in an embedded system context
• Show the similarities ‑ and differences ‑ with the C language
• Comprehend different memory management strategies – especially the move semantics introduced with C++11
• Look under the hood and understand what different paradigms in C++ leads to in machine code
• Use templates to achieve type safe high order abstractions for bare-metal close to the hardware programming – memory mapped I/O as well as interrupts – especially the variadic templates introduced with C++11
• Provide some useful design patterns especially applicable in an embedded context
• A few exercises in order to practice some concepts

AUDIENCE/PARTICIPANTS

This training is aimed C++- programmers who intend to start using C++ in an embedded system context.

PREVIOUS KNOWLEDGE

The course requires basic knowledge in C++ programming, corresponding to our trainings ”C++ – Level 1” and ”C++ Level 2 – Introducing C++11”.

PRACTICAL EXERCISES

During the training you will practice the presented concepts in a number of exercises. We will use the open and free integrated development environment from Eclipse

In this instructor-led, live training in San Francisco Bay Area participants will learn step-by-step how to build an embedded Linux system from the ground up. From building a minimalistic kernel to configuring the bootup and initialization processes, participants will learn the tools, techniques and mindset needed to deploy a fully functional embedded Linux system.

For remote trainings, QEMU will be used to emulate the hardware. Other platforms, including real hardware devices, can be considered on a case by case basis.

This instructor-led, live training in San Francisco Bay Area (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 San Francisco Bay Area, 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.

In this instructor-led, live training in San Francisco Bay Area, participants will learn the fundamentals of IoT as they step through the creation of an Arduino-based IoT sensor system.

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

• Understand the principles of IoT, including IoT components and communication techniques.
• Learn how to use Arduino communication modules that can be used for different IoT systems.
• Learn how to use and program a mobile app to control Arduino.
• Use a Wi-Fi module to connect the Arduino to another device.
• Build and deploy their own IoT Sensor System.

Description

This 5-day training class uses hands-on exercises combined with instruction to illustrate the concepts of GNU/Linux kernel internals and device driver development. It is desinged to bring you quickly up to speed. We describe processes, concepts and commands necessary to write GNU/Linux device drivers through a combination of theory and on-the-job training.

Don't reinvent the wheel, but learn from an experienced trainer and take home a working knowledge and the ability to use it effectively in your own embedded development project.

Who should attend?

People with interest in or tasked with the development or evaluation of developing GNU/Linux device drivers like software engineers, field engineers, (project) managers, hardware engineers.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at FPGA developers who wish to use Vivado to design, debug, and implement 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 based on OpenWrt. It is a complete replacement for the vendor-supplied firmware of a wide range of wireless routers and non-network devices.

In this instructor-led, live training, participants will learn how to set up a LEDE based wireless router.

Audience

• Network administrators and technicians

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Model Based Development (MBD) is a software development methodology that enables faster, more cost-effective development of dynamic systems such as control systems, signal processing and communication systems. It relies on graphic modeling rather than the traditional text based programming.

In this instructor-led, live training participants will learn how to apply MBD methodologies to reduce development costs and accelerate the time to market of their embedded software products.

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

• Select and utilize the right tools for implementing MBD.
• Use MBD to carry out rapid development in the early stages of their embedded software project.
• Shorten the release of their embedded software into the market.

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at engineers who wish to learn the design principles of microcontroller design.

This instructor-led, live training in San Francisco Bay Area (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).

In this course, participants will learn C++ concepts and programming skills.

PCB (Printed Circuit Board) Circuit Design refers to the process of designing, etching, and printing circuits on a signal boards layout.  EAGLE is a freely available desktop application for designing PCBs.

In this instructor-led, live training, participants will learn how to use the Eagle software to create PCB circuit boards. The course starts by examining a set of existing schematics, then drawing out an original circuit in Eagle. The training steps through process for designing the circuit board and discusses the process for manufacturing the boards (the course does not include the physical manufacturing of the boards).

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

• Create a Printed Circuit Board (PCB) from any schematic
• Create schematics and design circuit boards using Eagle
• Export the industry-standard files for constructing the circuit board

Audience

• Engineers
• Technicians

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice

Notes

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

PCB (Printed Circuit Board) Circuit Design refers to the process of designing, etching, and printing circuits on a signal boards layout.  Altium Designer is a freely available desktop application for designing PCBs.

In this instructor-led, live training, participants will learn how to use the Altium software to create PCB circuit boards. The course starts by examining a set of existing schematics, then drawing out an original circuit in Altium. The training steps through process for designing and manufacturing the circuit board.

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

• Create a Printed Circuit Board (PCB) from any schematic
• Create schematics and design circuit boards using Altium
• Print and etch a physical circuit board
• Export the industry-standard files for sending to a large-scale manufacturer

Audience

• Engineers
• Technicians

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice

Notes

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

Raspberry Pi is a small, barebones computer developed by The Raspberry Pi Foundation.

Raspberry Pi is a very small, single-board computer.

In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to serve as an interactive and powerful embedded system.

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

• Set up an IDE (integrated development environment) for maximum development productivity
• Program Raspberry Pi to control devices such as motion sensor, alarms, web servers and printers.
• Understand Raspberry Pi's architecture, including inputs and connectors for add-on devices.
• Understand the various options in programming languages and operating systems
• Test, debug, and deploy the Raspberry Pi to solve real world problems

Audience

• Developers
• Hardware/software technicians
• Technical persons in all industries
• Hobbyists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• Raspberry Pi supports various operating systems and programming languages. This course will use  Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
• Participants are responsible for purchasing the Raspberry Pi hardware and components.

A real-time operating system (RTOS) is an operating system (OS) intended to serve real-time application process data as it comes in, typically without buffering delays.

This instructor-led, live training in San Francisco Bay Area (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 San Francisco Bay Area, 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 provides a comprehensive introduction to the Zig programming language, covering its syntax, memory management, application development, and advanced features. Participants will gain hands-on experience with Zig’s unique approach to safety, performance, and interoperability, making it a strong alternative to C and Rust. The course includes practical exercises to reinforce learning and build confidence in writing efficient, reliable Zig programs.