Automotive Training in Tashkent

This instructor-led, live training in Tashkent (online or onsite) is designed for 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 Tashkent (online or onsite) is designed for beginners and enthusiasts who want to grasp the core concepts, technologies, and applications of autonomous vehicles.

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

• Understand the essential components and operational principles of autonomous vehicles.
• Explore the significance of AI, sensors, and real-time data processing in self-driving systems.
• Analyze various levels of vehicle autonomy and their practical applications.
• Examine the ethical, legal, and regulatory considerations surrounding autonomous mobility.
• Gain practical experience through autonomous vehicle simulations.

This instructor-led, live training in Tashkent (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:

• Understand 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 Tashkent (online or onsite) is aimed at intermediate-level engineers, automotive professionals, and IoT specialists who wish 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.
• Analyse sensor data for real-time vehicle perception and decision-making.
• Implement sensor fusion techniques to improve vehicle accuracy and safety.
• Optimise sensor placement and calibration for enhanced autonomous driving performance.

This instructor-led, live training in Tashkent (delivered either online or on-site) is designed for advanced-level safety engineers and automotive safety professionals seeking to develop comprehensive safety strategies for autonomous vehicles. The course covers hazard analysis, functional safety assessments, and adherence to international standards.

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

• Identify and evaluate safety risks linked to autonomous driving systems.
• Conduct hazard analysis and risk assessment in line with industry standards.
• Implement safety validation and verification methods for AV systems.
• Apply functional safety standards, including ISO 26262 and SOTIF.
• Develop risk mitigation strategies to address AV safety challenges.

This instructor-led, live training in Tashkent (online or onsite) is aimed at advanced-level sensor fusion specialists and AI engineers who wish to develop multi-sensor fusion algorithms and optimise 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.
• Analyse 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 partnership among automotive manufacturers, suppliers, and tool developers that establishes standardized software architectures for automotive electronic control units (ECUs).

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced automotive software developers aiming to design, develop, and integrate software using AUTOSAR Classic and Adaptive platforms, with a specific focus on ADAS (Advanced Driver Assistance Systems).

Upon completing this training, participants will be able to:

• Grasp the AUTOSAR Classic and Adaptive architectures along with their key distinctions.
• Create and configure automotive software components using AUTOSAR-compliant tools.
• Integrate and test ADAS software components within AUTOSAR Adaptive environments.
• Implement best practices for safety, security, and performance optimization in automotive systems.

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange.

This guided, live training in Tashkent (online or in-person) targets intermediate-level AI developers and computer vision engineers who aim to build robust vision systems for autonomous driving applications.

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

• Grasping the core principles of computer vision within autonomous vehicles.
• Developing algorithms for object detection, lane recognition, and semantic segmentation.
• Combining vision systems with other autonomous vehicle components.
• Utilizing deep learning methods for sophisticated perception tasks.
• Assessing the performance of computer vision models in practical situations.

This instructor-led, live training in Tashkent (available online or on-site) is designed for intermediate-level automotive engineers and technicians who wish to gain practical 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 functionality of ECUs within automotive systems.
• Set up and configure Vector tools such as CANoe and CANape.
• Simulate and test ECU communication over CAN and LIN networks.
• Analyze data and perform diagnostics on ECUs.
• Create test cases and automate testing workflows.
• Calibrate and optimize ECUs using practical, hands-on approaches.

This instructor-led live training in Tashkent (online or onsite) targets 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 in Tashkent (online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers who wish to grasp the theoretical aspects of ECUs, with a focus on Vector-based tools and methodologies employed in automotive design and development.

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

• Comprehend the architecture and functions of ECUs in modern vehicles.
• Analyze communication protocols utilized 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 Tashkent (online or on-site) 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.
• Analyse 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 Tashkent (online or onsite) is designed for advanced-level data scientists, AI specialists, and automotive AI developers who aim 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 Tashkent (online or onsite) is designed for beginner-level quality engineers who wish to learn how to apply Quality Core Tools to ensure product quality within the manufacturing sector.

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, comprehend their impact on product quality, and implement actions to mitigate risks.
• Apply statistical methods to monitor and control manufacturing processes, ensuring both product quality and process efficiency.

This instructor-led, live training in Tashkent (online or onsite) is tailored for entry-level quality control professionals who seek to learn the fundamentals of Statistical Process Control (SPC) and apply them in real-world situations.

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

• Understand the foundational concepts of Statistical Process Control (SPC).
• Employ basic SPC tools such as control charts, histograms, Pareto charts, and scatter diagrams to monitor process efficiency.
• Create and analyze various types of control charts for variable and attribute data to detect and assess process variations.
• Calculate and interpret process capability indices.

This program explores the application of AI—particularly Machine Learning and Deep Learning—within the automotive industry. It enables participants to identify which technologies can be (potentially) applied across various automotive scenarios, ranging from basic automation and image recognition to autonomous decision-making processes.

The "Automotive SPICE (A-SPICE) - Introduction" workshop provides a comprehensive overview of the Automotive SPICE process assessment model, covering its structure, classification, and interpretive guidelines. Participants will develop the competencies needed to understand the assessment process from the viewpoint of project managers and stakeholders. The course explores the significance of ASPICE in the market, compliance requirements, various process groups, and ASPICE maturity levels, illustrated through real-world implementation examples.

This instructor-led, live training in Tashkent (online or onsite) is designed for engineers who aim to protect connected vehicles from cyber threats.

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

• Implement cybersecurity measures in automotive systems.
• Select the most appropriate technologies, tools, and methodologies.

This instructor-led live training in Tashkent (online or on-site) 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 aiming 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).

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

Design and implement the AUTOSAR Operating System (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 on-site) is designed for intermediate-level embedded software developers and automotive engineers who aim to grasp 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 equipped to:

• Comprehend 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 Control Plan Implementation course is designed to provide participants with a comprehensive understanding of control plans and their importance in ensuring quality and process control. Participants will learn how to effectively develop and implement control plans to mitigate risks, monitor critical process parameters, and achieve consistent product quality. Through practical examples, case studies, and interactive exercises, participants will gain the knowledge and skills necessary to create robust control plans tailored to their specific industry and organisational needs.

This course is designed to give participants a thorough understanding of customer-specific requirements (CSR) and how they influence business operations. Attendees will gain insight into the critical role CSR plays in sustaining customer satisfaction, along with methods for identifying and managing these requirements. The curriculum also explores strategies for aligning with customer expectations, the effect of CSR on quality management systems, and the key steps needed for successful CSR implementation.

This training program offers an in-depth exploration of Design Failure Mode and Effects Analysis (DFMEA) and its practical use in product design and development. Learners will gain the skills to systematically identify and address potential failures during the design phase, thereby enhancing product reliability and customer satisfaction. The curriculum includes the DFMEA methodology, risk assessment techniques, and proven strategies for executing preventive and corrective measures.

This thorough course is designed to provide participants with the knowledge and skills necessary to conduct effective field failure analysis across various industries. Field failure analysis is essential for identifying and resolving product defects, ensuring customer satisfaction, and fostering continuous improvement. By completing this course, participants will gain a deep understanding of the principles, techniques, and best practices in field failure analysis, enabling them to investigate, diagnose, and mitigate product failures in real-world situations.

This course offers a comprehensive grasp of the FMEA methodology and its practical use in manufacturing and service sectors. FMEA serves as a systematic method to pinpoint, evaluate, and reduce potential failures in systems, products, or processes. Participants will acquire the skills to identify and assess possible failure modes, their consequences, and root causes, while formulating robust control plans to prevent or lessen the impact of these failures.

ISO 26262 establishes the requirements for functional safety within the automotive industry.

This instructor-led, live training (available online or onsite) is designed for automotive professionals looking to implement the ISO 26262 standard in their organizations.

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

• Grasp the concept of functional safety as it applies to automotive hardware and software development.
• Understand the legal obligations and compliance requirements associated with ISO 26262.
• Execute the safety processes outlined in ISO 26262.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Practical implementation in a live-lab setting.

Customization Options

• For customized training arrangements, please contact us.

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

The Measurement Systems Analysis (MSA) course is designed to provide participants with a comprehensive understanding of the principles and techniques for evaluating and improving the measurement systems used in manufacturing and quality control processes. Participants will learn how to assess the accuracy, precision, and stability of measurement systems, identify sources of measurement variation, and implement appropriate strategies for measurement system improvement. Through practical examples, case studies, and interactive exercises, participants will gain the knowledge and skills necessary to conduct effective MSA studies and enhance the reliability and accuracy of their measurement systems.

This course is designed to provide participants with essential problem-solving skills and methodologies to address complex challenges across various industries. By combining theoretical insights with practical exercises, participants will learn to apply frameworks like the 8D Method, 5 Whys, and Ishikawa (Fishbone) Diagram to pinpoint root causes, devise effective solutions, and prevent issues from recurring. The course highlights a structured, data-driven approach to problem-solving, empowering participants to refine their skills and foster continuous improvement.

This training course is designed to provide professionals with a comprehensive understanding of root cause analysis and corrective action implementation. Participants will learn to distinguish between the root cause of a problem and the root cause of non-detection, utilize various analysis tools, and understand the differences between corrective actions and corrections. The course will also cover methodologies for verifying the effectiveness of implemented actions and introduce the 8D problem-solving process.

Benefits:

• Develop the ability to identify and address the root causes of problems effectively.
• Gain proficiency in using key analytical tools and techniques.
• Learn to implement and verify corrective actions to prevent recurrence of issues.
• Improve process reliability and quality within your organization.
• Foster a culture of continuous improvement and proactive problem-solving.

This course offers a comprehensive look into Reverse FMEA (Failure Mode and Effects Analysis). Participants will gain the skills to assess product or process strengths and weaknesses, as well as spot potential failure points. The curriculum walks through the key stages of the Reverse FMEA workflow: pinpointing possible failure modes, gauging the seriousness of their impact, and formulating strategies to either prevent these issues or reduce their effects.