Zig Programming Training Course

Targeted at engineers aiming to leverage embedded C for programming microcontrollers on various architectures (8051, ARM CORTEX M-3, and ARM9), this instructor-led live training is delivered in Latvia (either online or onsite).

In this instructor-led, live training in Latvia, 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 session, conducted either online or onsite in Latvia, is tailored for engineers and scientists seeking to apply DSP implementations. The goal is to enable efficient management of various signal types and improved control over multi-channel electronic systems.

Upon completion, participants will be able to:

• Set up and configure the necessary software platforms and tools for Digital Signal Processing.
• Comprehend the foundational concepts and principles of DSP and its applications.
• Identify DSP components and utilize them within electronics systems.
• Develop algorithms and operational functions derived from DSP results.
• Apply basic DSP software features to design signal filters.
• Generate DSP simulations and implement diverse filter types for DSP.

This instructor-led live training, conducted in Latvia (either online or onsite), targets intermediate-level automotive engineers and technicians aiming to acquire hands-on skills in testing, simulating, and diagnosing ECUs with Vector tools such as CANoe and CANape.

By the conclusion of this training, participants will be capable of:

• Understanding the role and function of ECUs in automotive systems.
• Setting up and configuring Vector tools like CANoe and CANape.
• Simulating and testing ECU communication on CAN and LIN networks.
• Analyzing data and performing diagnostics on ECUs.
• Creating test cases and automating testing workflows.
• Calibrating and optimizing ECUs using practical approaches.

This instructor-led, live training in Latvia (online or onsite) is tailored for intermediate-level automotive engineers and embedded systems developers aiming to comprehend the theoretical aspects of ECUs, highlighting Vector-based tools and methodologies employed in automotive design and development.

By the end of the program, participants will be able to:

• Comprehend the architecture and roles of ECUs in modern vehicles.
• Assess the communication protocols utilized in ECU development.
• Delve into Vector-based tools and their theoretical applications.
• Utilize model-based development principles in ECU design.

In this instructor-led, live training held in Latvia, participants will explore coding with FreeRTOS while progressing through the creation of a straightforward RTOS project using a microcontroller.

By the conclusion of this training, participants will be capable of:

• Understanding the core concepts of real-time operating systems.
• Becoming familiar with the FreeRTOS environment.
• Learning how to program using FreeRTOS.
• Integrating FreeRTOS applications with hardware peripherals.

This instructor-led live training in Latvia (available online or onsite) is tailored for intermediate-level embedded systems engineers and AI developers seeking to deploy machine learning models on microcontrollers via TensorFlow Lite and Edge Impulse.

By the end of the session, participants will be capable of:

• Understanding the fundamentals of TinyML and its advantages in edge AI contexts.
• Establishing a development environment for TinyML initiatives.
• Training, optimizing, and deploying AI models on low-power microcontrollers.
• Implementing real-world TinyML applications using TensorFlow Lite and Edge Impulse.
• Fine-tuning AI models for optimal power efficiency and memory usage.

This instructor-led live training in Latvia (delivered online or onsite) is tailored for engineers seeking to implement NetApp ONTAP.

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

• Establish and manage the ONTAP 9.3 Cluster (3 days).
• Utilize Data Protection technologies to secure data (2 days).

This live, instructor-led training (delivered online or onsite) targets beginner to intermediate PCB designers and electronics engineers seeking to build a complete and controlled PCB design workflow using Altium Designer.

Participants will work on a single connected project, progressing from project setup and component libraries through schematic capture, PCB layout, and verification, all the way to manufacturing outputs and controlled production release.

By the end of this training, participants will be capable of:

• Creating and managing structured Altium Designer PCB projects.
• Constructing and validating schematic designs and component libraries.
• Configuring PCB rules, routing, DRC, and manufacturing constraints.
• Generating and verifying fabrication, assembly, and mechanical outputs.
• Applying practical high-speed design constraints.
• Managing engineering changes and controlled re-releases.

This live, instructor-led training in Latvia guides participants through the creation of an embedded Linux build system using the Yocto Project.

By the end of the session, attendees will be able to:

• Comprehend the foundational elements of the Yocto Project build system, such as recipes, metadata, and layers.
• Construct a Linux image and operate it under emulation.
• Optimize the workflow for building embedded Linux systems, saving time and resources.