USB Device programming with STM32CubeIDE - Plan Szkolenia

Arduino is an open-source, single-board, microcontroller for building devices that can sense and control objects in the physical world.

In this instructor-led, live training, 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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• Arduino is available in different models and supports different programming interfaces (C, C++, C#, Python) and IDEs (Arduino IDE, Visual Studio, etc.). The following will be used for this course:
  • Arduino Uno board
  • Arduino IDE
  • Arduino language (based on C/C++)
• *** Participants are responsible for purchasing their own Arduino hardware and components! ***
  • Hardware kits can be purchased from suppliers, such as: Arduino Starter Kit https://store.arduino.cc/products/arduino-starter-kit-multi-language
• To request a different setup, please contact us to arrange.

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.

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

Format of the Course

• Interactive lecture and discussion.
• Lots of 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.

This instructor-led, live training (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).

Format of the Course

• Interactive lecture and discussion.
• Lots of 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.

TensorFlow Lite for Microcontrollers is a port of TensorFlow Lite designed to run machine learning models on microcontrollers and other devices with limited memory.

This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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.

The course covers the aspects of modern C language dialects (C99, C11, C2x) related to embedded programming and guidelines for efficient and error-immune programming techniques. The examples/exercises are implemented on STM32 family microcontrollers.

The course presents common serial interfaces used in embedded systems and useful practical details of their implementation. The presentation is accompanied by hands-on exercises using STM32 microcontrollers.

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).

Berkeley DB (BDB) is a software library intended to provide a high-performance embedded database for key/value data. Berkeley DB is written in C with API bindings for C++, C#, Java, Perl, PHP, Python, Ruby, Smalltalk, Tcl, and many other programming languages. Berkeley DB is not a relational database.

This course will introduce the architecture and capabilities of Berkeley DB and walk participants through the development of their own sample application using Berkeley DB.

Audience

• Application developers
• Software engineers
• Technical consultants

Format of the course

• Part lecture, part discussion, hands-on development and implementation, tests to gauge understanding

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

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

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 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

Opis
To prowadzone przez instruktora szkolenie na żywo przedstawia architekturę systemu, systemy operacyjne, kwestie związane z siecią, pamięcią masową i kryptografią, które należy wziąć pod uwagę przy projektowaniu bezpiecznych systemów wbudowanych.

Pod koniec tego kursu uczestnicy będą dobrze rozumieć zasady, obawy i technologie bezpieczeństwa. Co ważniejsze, uczestnicy zostaną wyposażeni w techniki potrzebne do tworzenia bezpiecznego oprogramowania wbudowanego.

Formuła kursu
Interaktywny wykład i dyskusja.
Dużo ćwiczeń i ćwiczeń.
Praktyczne wdrożenie w środowisku live-lab.

Język szkolenia
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