Automotive Training in Prague

This instructor-led, live training in Prague (online or onsite) is aimed at beginner-level professionals who wish to explore the ethical dilemmas and legal frameworks surrounding autonomous vehicles.

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

• Understand 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 Prague (online or onsite) is aimed at beginner-level professionals and enthusiasts who wish to understand the fundamental concepts, technologies, and applications of autonomous vehicles.

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

• Understand the key components and working principles of autonomous vehicles.
• Explore the role of AI, sensors, and real-time data processing in self-driving systems.
• Analyze different levels of vehicle autonomy and their real-world applications.
• Examine the ethical, legal, and regulatory aspects of autonomous mobility.
• Gain hands-on exposure to autonomous vehicle simulations.

This instructor-led live training in Prague (online or onsite) targets intermediate network engineers and automotive IoT developers aiming to understand and apply V2X communication technologies for autonomous vehicles.

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

• Grasp the core principles of V2X communication.
• Evaluate V2V, V2I, V2P, and V2N communication models.
• Deploy V2X protocols including DSRC and C-V2X.
• Creating simulations for connected vehicle ecosystems.
• Resolving cybersecurity and privacy issues within V2X networks.

This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level engineers, automotive professionals, and IoT specialists who want 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 guided, live training session in Prague (online or in person) targets advanced safety engineers and automotive safety experts aiming to create thorough safety strategies for autonomous vehicles. The curriculum covers hazard analysis, functional safety assessments, and adherence to international standards.

Upon completion of this training, participants will be capable of:

• Recognizing and evaluating safety risks linked to autonomous driving systems.
• Performing hazard analysis and risk assessment in accordance with industry standards.
• Applying safety validation and verification techniques for autonomous vehicle (AV) systems.
• Utilizing functional safety standards, including ISO 26262 and SOTIF.
• Creating risk mitigation strategies to address safety challenges in AVs.

This instructor-led live training, available in Prague (online or onsite), is designed for 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.

This live, instructor-led training in Prague focuses on the design and development of automotive software using AUTOSAR Classic and Adaptive platforms. Participants will acquire practical skills to configure components, integrate ADAS software, and apply safety best practices using industry-standard tools.

This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level AI developers and computer vision engineers who wish to build robust vision systems for autonomous driving applications.

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

• Gain a solid understanding of 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 Prague (online or onsite) targets intermediate-level automotive engineers and technicians looking to gain hands-on experience in testing, simulating, and diagnosing ECUs using Vector tools like CANoe and CANape.

Upon completing this training, participants will be able to:

• Grasp the role and functionality of ECUs within automotive systems.
• Configure and set up Vector tools including CANoe and CANape.
• Simulate and test ECU communication across CAN and LIN networks.
• Analyze data and conduct diagnostics on ECUs.
• Develop test cases and automate testing processes.
• Calibrate and optimize ECUs through practical methods.

This live, instructor-led training in Prague (online or onsite) is designed for advanced robotics engineers and AI researchers looking to implement refined path planning algorithms to improve autonomous vehicle performance.

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

• Understand the core theoretical principles behind advanced path planning algorithms.
• Apply algorithms like RRT*, A*, and D* for real-time navigation tasks.
• Optimize path planning strategies for obstacle avoidance and dynamic environments.
• Combine path planning with sensor data to enhance accuracy.
• Evaluate algorithm performance in real-world scenarios.

This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers seeking to grasp the theoretical foundations of ECUs, with a particular emphasis 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 operational functions of ECUs in contemporary vehicles.
• Analyze the communication protocols integral to ECU development.
• Investigate Vector-based tools and their theoretical applications.
• Implement model-based development principles in ECU design.

This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level professionals seeking a comprehensive understanding of EV powertrain architectures, battery chemistry, battery management systems (BMS), and the factors that influence 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 Prague (online or onsite) is aimed at 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 Prague (online or onsite) is targeted at beginner-level quality engineers who want to learn how to utilize Quality Core Tools to ensure product quality in the manufacturing industry.

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

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

This instructor-led, live training in Prague (online or onsite) is aimed at 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.

The "Automotive SPICE (A-SPICE) - Introduction" workshop focuses on reviewing the Automotive SPICE process assessment model, discussing its structure, classification, and interpretive 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 live training in Prague, available online or onsite, is tailored for engineers looking to defend connected vehicles against cyber attacks.

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

• Implementing cybersecurity measures in automotive systems.
• Identifying and selecting the optimal technologies, tools, and approaches.

This instructor-led, live training in Prague (online or on-site) is primarily designed for engineers who wish to utilize AUTOSAR to design automotive components.

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

• Install and configure AUTOSAR.
• Set up a workflow.
• Navigate smoothly in the AUTOSAR environment.
• Work efficiently.

This instructor-led live training (available online or on-site) is designed for intermediate-level embedded software developers and automotive engineers who want to utilize the AUTOSAR Classic Platform to develop, integrate, and test standardized software components for electronic control units (ECUs).

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

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

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

Design and implement the AUTOSAR Operating System (OS) and communication stack (COM stack).

Utilize CANoe or similar tools for simulation, testing, and diagnostics within an AUTOSAR environment.

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

Upon completing this training, participants will be able to:

• Gain insight into the AUTOSAR OS architecture and its scheduling policies
• Implement and manage tasks, events, alarms, and counters
• Describe and configure the COM Stack layers, including PDUR and communication services
• Explain protocol stacks (CAN, LIN, FlexRay, Ethernet) and how AUTOSAR interacts with them
• Configure OS and COM modules using industry-standard tools (Vector DaVinci or ETAS ISOLAR)
• Simulate and validate task and communication flows in an AUTOSAR-based ECU