Embedded Systems Training in Sri Jayawardenepura Kotte

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

This instructor-led, live training in Sri Jayawardenepura Kotte introduces the system architectures, operating systems, networking, storage, and cryptographic issues that should be considered when designing secure embedded systems. By the end of this course, participants will have a solid understanding of security principles, concerns, and technologies. More importantly, participants will be equipped with the techniques needed for developing safe and secure embedded software.

An embedded system is a computer system with a dedicated function within a larger mechanical or electrical system, often with real-time computing constraints.

This instructor-led, live training in Sri Jayawardenepura Kotte (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.

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

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.

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

 

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

In this instructor-led, live training in Sri Jayawardenepura Kotte 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.

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 Sri Jayawardenepura Kotte (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).

This instructor-led, live training in Sri Jayawardenepura Kotte (online or onsite) is aimed at developers who wish to use TensorFlow Lite to deploy deep learning models on embedded devices. By the end of this training, participants will be able to:

• Install and configure Tensorflow Lite on an embedded device.
• Understand the concepts and components underlying TensorFlow Lite.
• Convert existing models to TensorFlow Lite format for execution on embedded devices.
• Work within the limitations of small devices and TensorFlow Lite, while learning how to expand the scope of operations that can be run.
• Deploy a deep learning model on an embedded device running Linux.

In this instructor-led, live training in Sri Jayawardenepura Kotte, 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.

In this instructor-led, live training in Sri Jayawardenepura Kotte, 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.

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.

In this instructor-led, live training in Sri Jayawardenepura Kotte, 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.

This instructor-led, live training in Sri Jayawardenepura Kotte (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).

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

This instructor-led, live training in Sri Jayawardenepura Kotte (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.