Automotive Training in Plovdiv

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

Upon completing this training, participants will be capable of:

• Gaining insight into the key components and operational principles of autonomous vehicles.
• Exploring the role of AI, sensors, and real-time data processing in self-driving systems.
• Assessing various levels of vehicle autonomy and their real-world applications.
• Evaluating the ethical, legal, and regulatory aspects of autonomous mobility.
• Acquiring hands-on experience with autonomous vehicle simulations.

This instructor-led, live training in Plovdiv (online or onsite) is aimed at intermediate-level network engineers and automotive IoT developers who wish to understand and implement V2X communication technologies for autonomous vehicles.

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

• Grasp the fundamental concepts of V2X communication.
• Analyze V2V, V2I, V2P, and V2N communication models.
• Implement V2X protocols such as DSRC and C-V2X.
• Develop simulations for connected vehicle environments.
• Address cybersecurity and privacy challenges in V2X networks.

This instructor-led, live training in Plovdiv (online or onsite) is designed for intermediate-level engineers, automotive professionals, and IoT specialists who wish to gain insight into the role of sensors in self-driving cars. The curriculum covers LiDAR, radar, cameras, and sensor fusion techniques.

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

• Identify and understand the various types of sensors utilized in autonomous vehicles.
• Analyze sensor data to support real-time vehicle perception and decision-making processes.
• Apply sensor fusion techniques to enhance vehicle accuracy and safety.
• Optimize sensor placement and calibration to improve overall autonomous driving performance.

Delivered as an instructor-led, live training in Plovdiv (online or onsite), this course 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 Plovdiv (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.

This instructor-led, live training in Plovdiv (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:

• 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 Plovdiv (online or onsite) is designed for intermediate-level automotive engineers and technicians aiming to acquire 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 Plovdiv (online or onsite) is designed for advanced-level robotics engineers and AI researchers seeking to implement sophisticated path planning algorithms to optimize autonomous vehicle performance.

Upon completing this training, participants will be capable of:

• Understanding the theoretical foundations of advanced path planning algorithms.
• Implementing algorithms such as RRT*, A*, and D* for real-time navigation.
• Optimizing path planning for obstacle avoidance and dynamic environments.
• Integrating path planning algorithms with sensor data for enhanced accuracy.
• Evaluating the performance of various algorithms in practical scenarios.

This instructor-led, live training in Plovdiv (online or onsite) targets intermediate-level automotive engineers and embedded systems developers who wish to comprehend the theoretical aspects of ECUs, emphasizing Vector-based tools and methodologies used in automotive design and development.

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

• Understand the architecture and functions of ECUs in modern vehicles.
• Analyze communication protocols used 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 Plovdiv (online or onsite) is aimed at 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 live, instructor-led training in Plovdiv (conducted online or onsite) targets advanced data scientists, AI experts, and automotive developers aiming to build, train, and optimize AI models for autonomous driving.

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

• Comprehend the foundational concepts of AI and deep learning within the autonomous vehicle domain.
• Implement computer vision solutions for real-time object detection and lane tracking.
• Apply reinforcement learning strategies to drive decision-making in self-driving systems.
• Employ sensor fusion techniques to enhance perception and navigation capabilities.
• Create deep learning models for the prediction and analysis of driving scenarios.

This guided, live training in Plovdiv (online or on-site) is designed for entry-level quality engineers seeking to learn how to utilize Quality Core Tools to maintain product quality in the manufacturing sector.

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

• Recognize the significance and integration of the Quality Core Tools.
• Grasping the principles and application of APQP processes to enable efficient product quality planning.
• Spotting potential failures in products and processes, comprehending their effect on quality, and executing risk mitigation strategies.
• Employing statistical techniques to supervise and manage manufacturing processes, thereby ensuring both product quality and operational efficiency.

This instructor-led, live training in Plovdiv (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 an overview of the Automotive SPICE process assessment model, discussing its structure, classification, and interpretation guidelines. Participants gain the skills to understand the assessment process from the perspective of project managers and stakeholders. The course covers the significance of ASPICE in the market, compliance, various process groups, and ASPICE levels through real-world implementation examples.

This instructor-led, live training in Plovdiv (available online or onsite) is designed for engineers who wish to protect connected vehicles from cyber attacks.

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

• Implement cybersecurity in automotive systems.
• Choose the most suitable technologies, tools, and approaches.

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

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

• Install and configure AUTOSAR.
• Establish a development workflow.
• Navigate the AUTOSAR environment with ease.
• Work more 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 leverage the AUTOSAR Classic Platform to develop, integrate, and test standardized software components for electronic control units (ECUs).

Upon completing this training, participants will be able to:

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

Comprehend the AUTOSAR layered architecture and its basic software modules (BSW).

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

Utilize CANoe or comparable 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 or automotive engineers who aim to understand and configure AUTOSAR OS (based on OSEK/VDX) and the COM Stack to facilitate reliable task scheduling and communication within automotive ECUs.

Upon completing this training, participants will be able to:

• Grasp the AUTOSAR OS architecture and its scheduling policies
• Implement and manage tasks, events, alarms, and counters
• Describe and configure COM Stack layers, including PDUR and communication services
• Explain protocol stacks (CAN, LIN, FlexRay, Ethernet) and how AUTOSAR interfaces 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

The Executing Control Plans course equips participants with a thorough grasp of control plans and their vital role in maintaining quality and process stability. Attendees will acquire the ability to create and execute control plans effectively, thereby reducing risks, tracking essential process variables, and delivering consistent product quality. By engaging in real-world examples, case studies, and interactive activities, participants will develop the expertise needed to design sturdy control plans that align with their specific industry and organizational requirements.

This course is designed to offer participants a thorough grasp of customer-specific requirements (CSR) and their influence on business activities. Attendees will explore the critical role CSR plays in sustaining customer satisfaction, learn methods for identifying and managing these requirements, and develop strategies to fulfill customer expectations. Additionally, the program addresses how CSR affects quality management systems and outlines the necessary steps for successful CSR implementation.

This course offers an in-depth exploration of Design Failure Mode and Effects Analysis (DFMEA) and its role in product design and development. Participants will gain the skills to systematically detect and address potential design flaws, thereby enhancing product reliability and customer satisfaction. Key topics include the DFMEA workflow, risk evaluation methods, and strategies for executing preventive and corrective measures.

This comprehensive course is designed to equip participants with the knowledge and skills required to effectively perform field failure analysis in various industries. Field failure analysis plays a critical role in identifying and resolving product failures, ensuring customer satisfaction, and driving continuous improvement. Through this course, participants will learn the principles, techniques, and best practices of field failure analysis, enabling them to investigate, diagnose, and mitigate product failures in real-world scenarios.

This course offers a comprehensive grasp of the FMEA methodology and its practical application within manufacturing and service sectors. FMEA serves as a systematic method for identifying, assessing, and mitigating potential failures in systems, products, or processes. Participants will acquire the skills to pinpoint and evaluate possible failure modes, along with their consequences and root causes, while formulating robust control strategies to avert or reduce the impact of these potential issues.

This thorough program aims to provide participants with the expertise and capabilities needed to conduct field failure analysis across a range of industries. Field failure analysis is essential for pinpointing and addressing product defects, ensuring customer satisfaction, and fostering ongoing improvement. By the end of this course, participants will have mastered the principles, methods, and best practices of field failure analysis, allowing them to investigate, diagnose, and minimize product failures in practical situations.

The Analysis of Measurement Systems (MSA) course is designed to equip participants with a thorough grasp of the principles and techniques required to evaluate and enhance the measurement systems utilized in manufacturing and quality control workflows. Participants will learn to assess the accuracy, precision, and stability of these systems, identify the causes of measurement variability, and apply suitable strategies for improvement. Through practical examples, case studies, and interactive exercises, attendees will acquire the knowledge and skills needed to perform effective MSA studies, thereby boosting the reliability and precision of their measurement setups.

This course is designed to equip participants with effective problem-solving skills and methodologies to tackle complex issues in various industries. Through a combination of theoretical knowledge and practical exercises, participants will learn how to apply problem-solving frameworks such as the 8D Method, 5 Whys, and Ishikawa (Fishbone) Diagram to identify root causes, develop solutions, and prevent recurrence of problems. The course emphasizes a systematic and data-driven approach to problem solving, enabling participants to enhance their problem-solving capabilities and drive continuous improvement.

Quality Core Tools is a practical, instructor-led course that provides participants with an in-depth understanding of the five core quality methodologies used throughout the automotive product lifecycle. The course focuses on the practical application of Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP), Failure Mode and Effects Analysis (FMEA), Statistical Process Control (SPC), and Measurement Systems Analysis (MSA), enabling participants to effectively apply these methodologies within quality and project environments.

Designed for engineers who already possess basic knowledge of the Core Tools, this course reinforces best practices, explains the relationships between the individual methodologies, and develops the practical skills required to use them confidently in day-to-day work. Particular emphasis is placed on APQP, PPAP, and Process FMEA, while SPC and MSA are reviewed from a practical application perspective.

The course also provides participants with the knowledge required to satisfy the Core Tools training prerequisite for subsequent VDA 6.3 Process Auditor training, while maintaining a strong focus on practical industrial application.

Target Audience

This course is intended for:

• Quality Engineers

• Project Engineers

• Supplier Quality Engineers

• Manufacturing Engineers

• Process Engineers

• Quality Specialists involved in product and process development

• Professionals preparing for VDA 6.3 Process Auditor training

Learning Outcomes

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

• Explain the purpose and relationship between the five AIAG Quality Core Tools.

• Apply APQP methodology throughout the product development lifecycle.

• Prepare and review PPAP documentation and submission packages.

• Develop and evaluate Process FMEA using the AIAG-VDA methodology.

• Apply Control Plans as part of process quality management.

• Interpret SPC charts and evaluate process stability and capability.

• Assess measurement systems using MSA techniques.

• Identify common implementation mistakes and apply industry best practices.

• Integrate the Core Tools into everyday quality and project management activities.

• Demonstrate the level of Core Tools knowledge expected prior to attending VDA 6.3 Process Auditor training.

This training program is crafted to equip professionals with a thorough grasp of root cause analysis and the implementation of corrective actions. Attendees will learn to differentiate between the fundamental cause of a problem and the cause of non-detection, employ a variety of analytical instruments, and comprehend the distinction between corrective actions and mere corrections. Additionally, the course explores methodologies for validating the efficacy of implemented measures and introduces the 8D problem-solving framework.

Benefits:

• Cultivate the capability to effectively identify and resolve the underlying causes of issues.
• Acquire proficiency in utilizing essential analytical tools and techniques.
• Master the implementation and verification of corrective actions to prevent future occurrences.
• Enhance process reliability and quality standards within your organization.
• Promote a culture of continuous improvement and proactive problem-solving.

This course delivers a comprehensive examination of reverse FMEA (Failure Mode and Effects Analysis). Participants will acquire the skills to utilize this methodology for assessing the robustness and vulnerabilities of products or processes, while pinpointing potential failure scenarios. The curriculum addresses the distinct phases of the reverse FMEA workflow, ranging from the identification of failure modes to the assessment of their impact severity and the formulation of strategies to prevent or mitigate these issues.