Online Automotive Training in Srbija

Ova obuka sa instruktivom uživo u Srbija (online ili na licu mesta) namenjena je profesionalcima početnog nivoa koji žele da istraže etičke dileme i pravne okvire vezane za autonomna vozila.

Krajem ove obuke, učesnici će moći da:

• Razumeju etičke implikacije odlučivanja vođenog veštačkom inteligencijom u autonomnim vozilima.
• Analiziraju globalne pravne okvire i politike koje regulišu samovozeća vozila.
• Ispitaju odgovornost i akontabilnost u slučaju nezgoda autonomnih vozila.
• Procene balans između inovacija i javne bezbednosti u zakonima o autonomnoj vožnji.
• Razgovaraju o studijama slučajeva iz stvarnog sveta koje uključuju etičke dileme i pravne sporove.

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

Ova obuka koju vodi predavač, u uživo formatu u Srbija (online ili na lokaciji), namenjena je specijalistima za fuziju senzora i inženjerima veštačke inteligencije naprednog nivoa koji žele da razvijaju algoritme fuzije više senzora i optimizuju navigaciju u realnom vremenu u autonomnim sistemima.

Na kraju ove obuke, učesnici će moći da:

• Razumeju osnove i izazove fuzije podataka više senzora.
• Implementiraju algoritme fuzije senzora za autonomnu navigaciju u realnom vremenu.
• Integrišu podatke sa LiDAR, kamera i RADAR-a radi poboljšanja percepcije.
• Analiziraju i evaluiraju performanse sistema fuzije pod uslovima različitih okruženja.
• Razvijaju praktična rešenja za smanjenje šuma senzora i poravnanje podataka.

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

This instructor-led, live training in Srbija (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.

Ova obuka sa instruktora, uživo u Srbija (online ili na licu mesta), namenjena je automobilskim inženjerima i tehničarima srednjeg nivoa znanja koji žele da steknu praktična iskustva u testiranju, simulaciji i dijagnostici ECU uređaja korišćenjem Vector alata poput CANoe i CANape.

Krajem ove obuke, učesnici će biti u mogućnosti da:

• Razumeju ulogu i funkciju ECU uređaja u automobilskim sistemima.
• Postave i konfigurišu Vector alate, kao što su CANoe i CANape.
• Simuliraju i testiraju komunikaciju ECU uređaja na CAN i LIN mrežama.
• Analiziraju podatke i izvode dijagnostiku ECU uređaja.
• Naprave testne slučajeve i automatizuju tokove testiranja.
• Kalibrišu i optimizuju ECU uređaje koristeći praktične pristupe.

This instructor-led, live training in Srbija (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, offered in Srbija (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 live, instructor-led training, available in Srbija (online or onsite), targets advanced data scientists, AI specialists, and automotive AI developers who aim to build, train, and optimize AI models for autonomous driving.

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

• Understand the fundamental concepts of AI and deep learning within the realm of autonomous vehicles.
• Implement computer vision techniques for real-time object detection and lane following.
• Utilize reinforcement learning to drive decision-making in self-driving systems.
• Integrate sensor fusion techniques to enhance perception and navigation.
• Construct deep learning models for predicting and analyzing driving scenarios.

This guided, live training in Srbija (online or onsite) is designed for beginner-level quality engineers who wish to learn how to utilize Fundamental Quality Tools to ensure product quality within the manufacturing industry.

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

• Understand the importance and integration of the Fundamental Quality 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 Srbija (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 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 live, instructor-led session in Srbija (delivered online or onsite) targets engineers aiming to defend connected vehicles from cyberattacks.

By the conclusion of the training, participants will be capable of:

• Implementing cybersecurity within automotive frameworks.
• Selecting the most appropriate technologies, tools, and strategies.

This instructor-led, live training in Srbija (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.

Ovaj sveobuhvatni kurs osmišljen je tako da opremi učesnike znanjem i veštinama neophodnim za efikasno sprovođenje analize kvarova u polju u različitim industrijama. Analiza kvarova u polju igra ključnu ulogu u identifikaciji i rešavanju problema sa proizvodima, obezbeđivanju zadovoljstva kupaca i poticanju kontinuiranog unapređenja. Kroz ovaj kurs, učesnici će usvojiti principe, tehnike i najbolje prakse analize kvarova u polju, što će im omogućiti da istražuju, dijagnostikuju i ublažavaju posledice kvarova u stvarnim operativnim uslovima.

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.

Ovaj kurs je dizajniran da opremi učesnike efikasnim veštinama i metodologijama rešavanja problema za suočavanje sa kompleksnim izazovima u različitim industrijskim sektorima. Kroz kombinaciju teorijskog znanja i praktičnih vežbi, učesnici će naučiti kako da primene okvirne pristupe za rešavanje problema, poput Metodologije 8D, tehnike 5 zašto i Ishikawinog dijagrama (riblja kost), kako bi identifikovali primarne uzroke, razvili rešenja i sprečili ponavljanje problema. Kurs naglašava sistematičan i na podacima zasnovan pristup rešavanju problema, omogućavajući učesnicima da poboljšaju svoje sposobnosti u ovoj oblasti i budu pokretači kontinuiranog unapređenja.

Ovaj obukni program dizajniran je da pruži profesionalcima sveobuhvatno razumevanje analize uzroka problema i implementacije korektivnih mera. Polaznici će naučiti kako da razlikuju uzrok samog problema od uzroka njegove nedetekcije, kako da koriste različite alate za analizu i kako da razumeju razliku između korektivnih mera i jednostavnih ispravki. Kurs će takođe obuhvatiti metodologije za verifikaciju efikasnosti sprovođenih mera i predstaviti proces rešavanja problema 8D.

Koristi:

• Razvoj sposobnosti za efikasno identifikovanje i rešavanje korenskih uzroka problema.
• Stečenje veštine u korišćenju ključnih analitičkih alata i tehnika.
• Naučite kako sprovesti i verifikovati korektivne mere kako biste sprečili ponavljanje problema.
• Poboljšanje pouzdanoosti procesa i kvaliteta unutar vaše organizacije.
• Podsticanje kulture kontinuiranog unapređenja i proaktivnog rešavanja problema.

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.