Automotive Training in Bratislava

This instructor-led, live training in Bratislava (online or onsite) targets beginner-level professionals seeking to explore the ethical dilemmas and legal frameworks surrounding autonomous vehicles.

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

• Comprehend the ethical implications of AI-driven decision-making in autonomous vehicles.
• Analyze global legal frameworks and policies regulating self-driving cars.
• Examine liability and accountability in the event of autonomous vehicle accidents.
• Evaluate the balance between innovation and public safety in autonomous driving laws.
• Discuss real-world case studies involving ethical dilemmas and legal disputes.

This instructor-led, live training in Bratislava (online or onsite) is designed for beginner-level professionals and enthusiasts who want to grasp the fundamental concepts, technologies, and applications of autonomous vehicles.

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

• Comprehend the main components and operational principles of autonomous vehicles.
• Discover the roles of AI, sensors, and real-time data processing in self-driving systems.
• Evaluate various levels of vehicle autonomy and their practical applications.
• Review the ethical, legal, and regulatory dimensions of autonomous mobility.
• Acquire practical experience with autonomous vehicle simulations.

This instructor-led, live training in Bratislava (online or onsite) targets intermediate-level network engineers and automotive IoT developers seeking to comprehend and deploy V2X communication technologies for autonomous vehicles.

Upon completion of this training, participants will be able to:

• Comprehend the core concepts of V2X communication.
• Evaluate V2V, V2I, V2P, and V2N communication models.
• Deploy V2X protocols including DSRC and C-V2X.
• Create simulations for connected vehicle ecosystems.
• Tackle cybersecurity and privacy challenges within V2X networks.

This instructor-led, live training in Bratislava (online or onsite) is aimed at intermediate-level engineers, automotive professionals, and IoT specialists who wish to understand the role of sensors in self-driving cars, covering LiDAR, radar, cameras, and sensor fusion techniques.

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

• Understand the different types of sensors used in autonomous vehicles.
• Analyze sensor data for real-time vehicle perception and decision-making.
• Implement sensor fusion techniques to improve vehicle accuracy and safety.
• Optimize sensor placement and calibration for enhanced autonomous driving performance.

This instructor-led, live training in Bratislava (online or onsite) is aimed at advanced-level safety engineers and automotive safety professionals who wish to develop comprehensive safety strategies for autonomous vehicles, including hazard analysis, functional safety assessments, and compliance with international standards.

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

• Identify and assess safety risks associated with autonomous driving systems.
• Conduct hazard analysis and risk assessment using industry standards.
• Implement safety validation and verification methods for AV systems.
• Apply functional safety standards, such as ISO 26262 and SOTIF.
• Develop risk mitigation strategies for AV safety challenges.

This instructor-led, live training in Bratislava (online or onsite) is aimed at advanced-level sensor fusion specialists and AI engineers who wish to develop multi-sensor fusion algorithms and optimize real-time navigation in autonomous systems.

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

• Understand the fundamentals and challenges of multi-sensor data fusion.
• Implement sensor fusion algorithms for real-time autonomous navigation.
• Integrate data from LiDAR, cameras, and RADAR for perception enhancement.
• Analyze and evaluate fusion system performance under various conditions.
• Develop practical solutions for sensor noise reduction and data alignment.

AUTOSAR (AUTomotive Open System ARchitecture) represents a global collaborative initiative among automotive OEMs, suppliers, and tooling providers to standardize software architectures for electronic control units (ECUs).

This instructor-led live training, available online or on-site, targets intermediate to advanced automotive software engineers looking to design, develop, and integrate solutions using both AUTOSAR Classic and Adaptive platforms, with a specific emphasis on Advanced Driver Assistance Systems (ADAS).

Upon completing this training, participants will be capable of:

• Comprehending the architectures of AUTOSAR Classic and Adaptive platforms and identifying their primary distinctions.
• Developing and configuring automotive software components utilizing AUTOSAR-compliant toolsets.
• Integrating and validating ADAS software components within AUTOSAR Adaptive environments.
• Implementing industry best practices for safety, security, and performance optimization in automotive systems.

Training Format

• Interactive lectures and discussions.
• Practical exercises using industry-standard AUTOSAR development tools.
• Project-based learning and simulation of real-world automotive scenarios.

Customization Options

• For information on customizing this training to your specific needs, please contact our team.

This live, instructor-led session in Bratislava (online or onsite) targets intermediate-level AI developers and computer vision engineers aiming to build robust vision systems for autonomous driving applications.

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

• Understand the fundamental concepts of computer vision in autonomous vehicles.
• Implement algorithms for object detection, lane detection, and semantic segmentation.
• Integrate vision systems with other autonomous vehicle subsystems.
• Apply deep learning techniques for advanced perception tasks.
• Evaluate the performance of computer vision models in real-world scenarios.

This instructor-led, live training in Bratislava (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 Bratislava (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to implement sophisticated path planning algorithms to enhance autonomous vehicle performance.

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

• Understand the theoretical foundations of advanced path planning algorithms.
• Implement algorithms such as RRT*, A*, and D* for real-time navigation.
• Optimize path planning for obstacle avoidance and dynamic environments.
• Integrate path planning algorithms with sensor data for enhanced accuracy.
• Evaluate the performance of various algorithms in practical scenarios.

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

Upon completion of this training, participants will be able to:

• Comprehend the architecture and functionality of ECUs in contemporary vehicles.
• Analyze the 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 in Bratislava (available online or onsite) is designed for intermediate-level professionals who wish to gain a comprehensive understanding of EV powertrain architectures, battery chemistry, battery management systems (BMS), and the factors affecting energy efficiency in electric vehicles.

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

• Understand the structure and function of EV powertrains.
• Analyze different battery chemistries and their applications in EVs.
• Implement battery management techniques to enhance performance and safety.
• Evaluate energy efficiency in various EV configurations.

This instructor-led live training in Bratislava (online or onsite) is tailored for advanced-level data scientists, AI specialists, and automotive AI developers who wish to build, train, and optimize AI models for autonomous driving applications.

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

• Understand the fundamentals of AI and deep learning in the context of autonomous vehicles.
• Implement computer vision techniques for real-time object detection and lane following.
• Utilize reinforcement learning for decision-making in self-driving systems.
• Integrate sensor fusion techniques for better perception and navigation.
• Build deep learning models to predict and analyze driving scenarios.

This instructor-led, live training in Bratislava (online or onsite) is aimed at automotive engineers who wish to use AUTOSAR to design automotive motor controllers.

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

• Understand AUTOSAR architecture and methodology.
• Learn how to design motor controllers using AUTOSAR.

This instructor-led, live training in Bratislava (online or onsite) targets beginner-level quality engineers who wish to learn how to use Core Quality Tools to ensure product quality in the manufacturing industry.

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

• Comprehend the significance and integration of Core Quality Tools.
• Master the concepts and application of APQP processes to support effective product quality planning.
• Identify potential failures in products and processes, understand their impact on product quality, and implement actions to mitigate risks.
• Employ statistical methods to monitor and control manufacturing processes, ensuring product quality and process efficiency.

This instructor-led, live training in Bratislava (online or onsite) is designed for beginner-level quality control professionals who wish to learn the fundamentals of Statistical Process Control (SPC) and apply it in real-world scenarios.

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

• Understand the fundamentals of Statistical Process Control (SPC).
• Use basic SPC tools such as control charts, histograms, Pareto charts, and scatter diagrams to monitor process performance.
• Create and interpret various types of control charts for variable and attribute data to detect and analyze process variations.
• Calculate and interpret process capability indices.

This course explores the application of AI—specifically focusing on Machine Learning and Deep Learning—within the automotive industry. It enables participants to identify which technologies can be (potentially) applied across various vehicle scenarios, ranging from basic automation and image recognition to autonomous decision-making.

The "Automotive SPICE (A-SPICE) - Introduction" workshop focuses on an overview of the Automotive SPICE process assessment model, discussing its structure, classification, and interpretative guidelines. Participants gain competencies to understand the assessment process from the perspective of project managers and stakeholders. The course covers the significance of ASPICE in the market, compliance, different process groups, and ASPICE levels through examples of real-world implementations.

This instructor-led live training in Bratislava (online or onsite) is designed for engineers who want to protect connected vehicles from cyber threats.

Upon completion of this training, participants will be able to:

• Implement cybersecurity measures in automotive systems.
• Select the most appropriate technologies, tools, and methodologies.

This instructor-led, live training in Bratislava (online or onsite) is primarily aimed at engineers who wish to use AUTOSAR to design automotive components.

Upon completing this training, participants will be able to:

• Install and configure AUTOSAR.
• Establish a development workflow.
• Navigate the AUTOSAR environment with ease.
• Work efficiently within the framework.

This instructor-led, live training (online or onsite) is designed for intermediate-level embedded software developers and automotive engineers looking to utilize the AUTOSAR Classic Platform for the development, integration, and testing of standardized software components within electronic control units (ECUs).

Upon completion of this training, participants will be equipped to:

Install and configure AUTOSAR development tools, such as DaVinci Developer, EB Tresos, or ETAS ISOLAR-A/B.

Gain a thorough understanding of the AUTOSAR layered architecture and its basic software modules (BSW).

Design and implement AUTOSAR OS and communication stack (COM stack) solutions.

Utilize CANoe or comparable tools for simulation, testing, and diagnostics within an AUTOSAR framework.

This instructor-led, live training (available online or onsite) is designed for intermediate-level embedded software developers and automotive engineers seeking to master the configuration of AUTOSAR OS (based on OSEK/VDX) and the COM Stack to ensure reliable task scheduling and communication within automotive ECUs.

Upon completing this training, participants will be capable of:

• Grasping the AUTOSAR OS architecture and its scheduling policies
• Implementing and managing tasks, events, alarms, and counters
• Describing and configuring the layers of the COM Stack, including PDUR and communication services
• Explaining protocol stacks (CAN, LIN, FlexRay, Ethernet) and AUTOSAR's interaction with them
• Configuring OS and COM modules using industry-standard tools (Vector DaVinci or ETAS ISOLAR)
• Simulating and validating task and communication flows in an AUTOSAR-based ECU

ISO 26262 establishes the requirements for functional safety within the automotive industry.

This instructor-led live training, available both online and onsite, is designed for automotive professionals seeking to integrate the ISO 26262 standard into their organizations.

Upon completion of this course, participants will be able to:

• Grasp the concept of functional safety as it applies to automotive hardware and software development.
• Comprehend the legal obligations and compliance mandates of ISO 26262.
• Apply the safety processes defined in ISO 26262.

Course Format

• Engaging lectures and discussions.
• Numerous exercises and practical applications.
• Practical implementation in a live-lab environment.

Course Customization Options

• To arrange customized training for this course, please reach out to us.

This instructor-led, live training in Bratislava (online or onsite) is aimed at quality and manufacturing professionals who wish to implement VDA 6.3 standards in their organization.

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

• Understand the requirements and processes of the German automotive audit methodology.
• Learn how to plan, conduct, and report internal audits and evaluations based on the VDA 6.3 requirements.
• Meet the requirements for German automotive industry audit standards.
• Apply the VDA 6.3 questionnaire and audit scoring.
• Know the key processes for effective, efficient, and VDA 6.3 compliant product development.