Online Automotive Training in Serbia

This instructor-led, live training in Serbia (online or onsite) is designed for beginners in the field who want to investigate the ethical dilemmas and legal structures surrounding autonomous vehicles.

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

• Grasp the ethical implications of AI-driven decision-making in autonomous vehicles.
• Analyze international legal frameworks and policies governing self-driving cars.
• Examine liability and accountability in cases of autonomous vehicle accidents.
• Assess 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 Serbia (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 Serbia (online or onsite) is designed for intermediate-level network engineers and automotive IoT developers who wish to understand and implement V2X communication technologies for autonomous vehicles.

Upon completing this training, participants will be equipped to:

• Grasp the core concepts of V2X communication.
• Evaluate V2V, V2I, V2P, and V2N communication models.
• Implement V2X protocols, including DSRC and C-V2X.
• Create simulations for connected vehicle environments.
• Tackle cybersecurity and privacy issues within V2X networks.

This instructor-led, live training in Serbia (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 Serbia (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 Serbia (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) is a global collaborative effort involving automotive manufacturers, suppliers, and tool developers, dedicated to standardizing the software architecture for automotive electronic control units (ECUs).

This instructor-led live training, available either online or onsite, targets intermediate to advanced automotive software developers who aim to design, develop, and integrate software leveraging both AUTOSAR Classic and Adaptive platforms, with a specific emphasis on ADAS (Advanced Driver Assistance Systems).

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

• Grasping the AUTOSAR Classic and Adaptive architectures and identifying their primary distinctions.
• Developing and configuring automotive software components using tools that comply with AUTOSAR standards.
• Integrating and testing ADAS software components within AUTOSAR Adaptive environments.
• Implementing best practices for safety, security, and performance optimization in automotive systems.

Course Format

• Interactive lectures and discussions.
• Practical exercises utilizing industry-standard AUTOSAR tools.
• Project-based learning coupled with simulations of automotive use cases.

Customization Options

• For tailored training sessions, please reach out to us to make arrangements.

This instructor-led, live training in Serbia (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 Serbia (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.

Facilitated by an expert, this live training in Serbia (online or in person) is designed for advanced robotics engineers and AI specialists who aim to deploy complex path planning algorithms to improve the functionality of autonomous vehicles.

Upon completion of this program, attendees will be capable of:

• Gaining a deep understanding of the theoretical basis behind advanced path planning algorithms.
• Deploying algorithms like RRT*, A*, and D* for real-time navigation tasks.
• Refining path planning processes to manage obstacle avoidance and dynamic environments effectively.
• Combining path planning algorithms with sensor inputs to boost precision.
• Assessing the performance of different algorithms within real-world contexts.

This instructor-led live training, offered in Serbia (online or onsite), targets intermediate-level automotive engineers and embedded systems developers aiming to master the theoretical aspects of ECUs, emphasizing Vector-based tools and methodologies 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 Serbia (available 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 instructor-led, live training session in Serbia (online or onsite) is designed for advanced data scientists, AI specialists, and automotive AI developers who aim to construct, train, and optimize AI models for autonomous driving applications.

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

• Comprehend the fundamentals of AI and deep learning within 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 Serbia (online or onsite) is designed for quality engineers at the beginner level who wish to learn how to apply Core Quality Tools to ensure product quality in the manufacturing industry.

Upon completing this training, participants will be capable of:

• Comprehending the significance and integration of Core Quality Tools.
• Gaining mastery over the concepts and application of APQP processes to enable effective product quality planning.
• Identifying potential failures in products and processes, understanding their impact on quality, and implementing actions to mitigate risks.
• Utilizing statistical methods to monitor and control manufacturing processes, thereby ensuring product quality and operational efficiency.

This instructor-led, live training in Serbia (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.

This course provides an overview of AI, with a focus on Machine Learning and Deep Learning, within the Automotive sector. It enables participants to identify which technologies can be (potentially) applied in various car scenarios, ranging from basic automation and image recognition to autonomous decision-making.

The "Automotive SPICE (A-SPICE) - Introduction" workshop focuses on reviewing the Automotive SPICE process assessment model, discussing its structure, classification, and interpretation guidelines. Participants will gain the ability to understand the assessment process from the viewpoint of project managers and stakeholders. The course covers the significance of ASPICE in the market, compliance, various process groups, and ASPICE levels, illustrated through examples of real-world implementations.

This instructor-led, live training in Serbia (online or on-site) is designed for engineers looking to protect connected vehicles from cyber threats.

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

• Integrate cybersecurity measures into automotive systems.
• Select the most appropriate technologies, tools, and methodologies.

This instructor-led, live training in Serbia (online or onsite) is primarily aimed at engineers who wish to use 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 onsite) 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 (e.g., DaVinci Developer, EB Tresos, or ETAS ISOLAR-A/B).

Comprehend the AUTOSAR layered architecture and 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) targets intermediate-level embedded software developers and automotive engineers seeking to grasp and configure the AUTOSAR OS (rooted in OSEK/VDX) and the COM Stack. The course enables reliable task scheduling and communication within automotive ECUs.

Upon completing this training, participants will be capable of:

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

This course on implementing control plans is structured to give participants a thorough grasp of control plans and their vital role in maintaining quality and process control. Attendees will acquire the ability to create and apply control plans effectively, helping to reduce risks, track essential process parameters, and deliver uniform product quality. By engaging with real-world examples, case studies, and interactive activities, participants will develop the expertise and capabilities required to build strong control plans suited to their specific industry and organizational requirements.

This course is designed to give participants a thorough grasp of customer-specific requirements (CSR) and their influence on business operations. Learners will explore why CSR is essential for sustaining customer satisfaction, discover methods to identify and manage CSR, and develop strategies to fulfill customer expectations. Additionally, the course examines how CSR affects quality management systems and outlines the necessary steps for successful CSR implementation.

This course offers a thorough comprehension of Design Failure Mode and Effects Analysis (DFMEA) and its role in product design and development. Participants will acquire skills to systematically identify and address potential failures during the design phase, thereby enhancing product reliability and customer satisfaction. The curriculum includes an in-depth look at the DFMEA process, risk assessment methods, and practical strategies for executing preventive and corrective measures.

This extensive program is crafted to provide participants with the essential knowledge and skills needed to conduct effective field failure analysis across various industries. Field failure analysis is vital for detecting and addressing product defects, maintaining customer satisfaction, and promoting ongoing improvement. By completing this course, participants will master the principles, methods, and best practices of field failure analysis, allowing them to investigate, diagnose, and reduce product failures in practical, real-world contexts.

This course offers a comprehensive exploration of the FMEA methodology and its practical application across manufacturing and service sectors. FMEA serves as a systematic method for identifying, analyzing, and mitigating potential failures in systems, products, or processes. Participants will acquire the skills to detect and assess possible failure modes, their consequences, and root causes, while formulating robust control plans to prevent or reduce the impact of these failures.

This extensive program is designed to empower participants with the necessary knowledge and competencies to successfully conduct field failure analysis across a variety of sectors. Field failure analysis is vital for detecting and resolving product defects, maintaining customer satisfaction, and promoting ongoing enhancement. By completing this course, participants will master the foundational principles, analytical techniques, and industry best practices, allowing them to effectively investigate, diagnose, and address product failures in practical, real-world contexts.

The Measurement Systems Analysis (MSA) course is structured to equip participants with a thorough comprehension of the principles and methods required for assessing and enhancing the measurement systems utilized in manufacturing and quality control operations. Participants will acquire the ability to evaluate the accuracy, precision, and stability of these systems, pinpoint causes of measurement variability, and apply effective strategies for improvement. Through real-world examples, case studies, and interactive activities, attendees will develop the expertise needed to perform robust MSA studies, thereby increasing the reliability and precision of their measurement processes.

This course aims to provide participants with robust problem-solving skills and methodologies to address complex challenges across diverse industries. By blending theoretical insights with practical exercises, participants will learn to apply frameworks such as the 8D Method, 5 Whys, and Ishikawa (Fishbone) Diagrams to pinpoint root causes, formulate solutions, and prevent future issues. The program highlights a systematic, data-driven approach, empowering participants to strengthen their problem-solving abilities and foster continuous improvement.

This training program is tailored to equip professionals with a thorough grasp of root cause analysis and the implementation of corrective actions. Participants will acquire the skills to differentiate between the origin of a problem and the failure to detect it, leverage various analytical instruments, and comprehend the distinctions between corrective actions and mere corrections. Additionally, the course explores methods for validating the efficacy of executed actions and provides an introduction to the 8D problem-solving methodology.

Key Benefits:

• Cultivate the capability to pinpoint and resolve the underlying causes of issues efficiently.
• Achieve proficiency in employing essential analytical tools and techniques.
• Master the implementation and verification of corrective actions to stop issues from recurring.
• Enhance process reliability and quality standards across your organization.
• Encourage a workplace culture centered on continuous improvement and proactive problem-solving.

This course offers a comprehensive exploration of reverse FMEA (Failure Mode and Effects Analysis). Participants will learn to apply this methodology to assess the robustness and vulnerabilities of products or processes, while pinpointing possible failure modes. The curriculum outlines the key phases of the reverse FMEA workflow, ranging from the detection of potential failures to the assessment of their impact severity, and the formulation of strategic plans to prevent or reduce these issues.