Automotive Training in Ankara

This instructor-led, live training in Ankara (online or onsite) is designed for beginners who want 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 Ankara (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 Ankara (online or on-site) is designed for intermediate-level network engineers and automotive IoT developers aiming to comprehend and deploy V2X communication technologies for autonomous vehicles.

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

• Gaining a solid grasp of the core concepts of V2X communication.
• Analyzing V2V, V2I, V2P, and V2N communication models.
• Implementing V2X protocols, including DSRC and C-V2X.
• Creating simulations for connected vehicle environments.
• Managing cybersecurity and privacy challenges within V2X networks.

This instructor-led, live training in Ankara (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.
• 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 Ankara (online or onsite) targets 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 Ankara (online or onsite) targets 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 consortium of automotive manufacturers, suppliers, and tool vendors that establishes standardized software architectures for automotive electronic control units (ECUs).

This instructor-led, live training (available online or on-site) 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 emphasis on ADAS (Advanced Driver Assistance Systems).

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

• Comprehend AUTOSAR Classic and Adaptive architectures and identify their key distinctions.
• Develop and configure automotive software components using AUTOSAR-compliant tools.
• Integrate and test ADAS software components within AUTOSAR Adaptive environments.
• Apply industry 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 simulated automotive use cases.

Customization Options

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

This instructor-led, live training in Ankara (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 Ankara (online or onsite) is designed for automotive engineers and technicians at an intermediate level who seek practical experience in testing, simulating, and diagnosing ECUs using Vector tools such as CANoe and CANape.

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

• Comprehend the role and functionality of ECUs within automotive systems.
• Set up and configure Vector tools like CANoe and CANape.
• Simulate and test ECU communication across CAN and LIN networks.
• Analyze data and perform diagnostics on ECUs.
• Develop test cases and automate testing workflows.
• Calibrate and optimize ECUs using practical methods.

This instructor-led, live training in Ankara (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 in Ankara (online or onsite) is designed for intermediate automotive engineers and embedded systems developers seeking to understand the theoretical aspects of ECUs, emphasizing Vector-based tools and methodologies used in automotive design and development.

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

• Understand 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 Ankara (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 Ankara (online or onsite) is intended for advanced data scientists, AI specialists, and automotive AI developers who aim to construct, train, and optimize AI models for autonomous driving applications.

Upon completing this training, participants will be capable of:

• Grasping the core principles of AI and deep learning as applied to autonomous vehicles.
• Deploying computer vision methods for real-time lane tracking and object identification.
• Applying reinforcement learning to enhance decision-making processes in self-driving systems.
• Employing sensor fusion strategies to improve navigation and environmental perception.
• Developing deep learning models to forecast and evaluate driving situations.

This instructor-led, live training in Ankara (online or onsite) is aimed at beginner-level quality engineers who wish to learn how to use Quality Core Tools to ensure product quality in the manufacturing industry.

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, 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 Ankara (online or on-site) is intended for beginner-level quality control professionals who want to learn the fundamentals of Statistical Process Control (SPC) and apply them in real-world scenarios.

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

• Understand the core principles of Statistical Process Control (SPC).
• Use fundamental SPC tools like 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 a comprehensive overview of AI, with a focus on Machine Learning and Deep Learning, applied within the automotive industry. It helps participants identify which technologies can be (potentially) utilized across various scenarios in vehicles: 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 gain competencies 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 examples of real-world implementations.

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

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

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

This instructor-led live training in Ankara (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 (online or onsite) is designed for intermediate-level embedded software developers and automotive engineers who want to use 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).

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

Design and implement the AUTOSAR 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 both online and onsite, is designed for intermediate-level embedded software developers and automotive engineers who aim to understand and configure the AUTOSAR OS (based on OSEK/VDX) and the COM Stack. The course focuses on enabling reliable task scheduling and communication within automotive ECUs.

Upon completion of 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 such as Vector DaVinci or ETAS ISOLAR
• Simulate and validate task and communication flows in an AUTOSAR-based ECU

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

This instructor-led live training, available either online or onsite, is designed for automotive professionals who intend 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.
• Comprehend the legal obligations and compliance criteria associated with ISO 26262.
• Execute the safety processes mandated by ISO 26262.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live lab environment.

Customization Options

• For a tailored training experience for this course, please contact us to make arrangements.