Quality Core Tools Training Course

This instructor-led, live training in Czech Republic (online or onsite) targets advanced robotics engineers and AI researchers who aim 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 course provides a comprehensive overview of AI, with a focus on Machine Learning and Deep Learning, within the automotive industry. It explores which technologies can be effectively applied across various vehicle scenarios, ranging from basic automation and image recognition to autonomous decision-making processes.

This instructor-led, live training in Czech Republic (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:

• Grasp the core principles of AI and deep learning as applied to autonomous vehicles.
• Apply computer vision methods for real-time object detection and lane keeping.
• Employ reinforcement learning to enhance decision-making capabilities in self-driving systems.
• Combine sensor fusion techniques to improve perception and navigation accuracy.
• Construct deep learning models to forecast and analyze various driving scenarios.

AUTOSAR (AUTomotive Open System ARchitecture) represents a global collaborative initiative among automotive OEMs, tier-one suppliers, and tooling vendors. Its primary objective is to standardize the software architecture utilized in automotive electronic control units (ECUs).

This instructor-led live training session, available both online and onsite, is tailored for intermediate to advanced automotive software engineers seeking to design, develop, and integrate solutions using AUTOSAR Classic and Adaptive platforms, with a specific emphasis on Advanced Driver Assistance Systems (ADAS).

Upon completion of this training, participants will gain the ability to:

• Comprehend the AUTOSAR Classic and Adaptive architectures, along with their fundamental distinctions.
• Engineer and configure automotive software components utilizing AUTOSAR-compliant development tools.
• Integrate and validate ADAS software modules within AUTOSAR Adaptive environments.
• Implement industry best practices concerning safety, security, and performance optimization for automotive systems.

Training Format

• Engaging lectures paired with interactive discussions.
• Practical exercises using industry-standard AUTOSAR toolchains.
• Project-based learning centered on simulated automotive use cases.

Customization Options

• For customized training arrangements, please contact our team to discuss your specific requirements.

This instructor-led, live training in Czech Republic (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

This guided, live training session in Czech Republic (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 in Czech Republic (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 Czech Republic (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 Czech Republic (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 Czech Republic (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, available in Czech Republic (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 instructor-led, live training in Czech Republic (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 instructor-led live training in Czech Republic (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.