Automotive Training in Lyon

This instructor-led, live training in Lyon (online or onsite) is aimed at beginner-level business professionals who wish to understand the dynamics of the EV market, develop strategic insights, and assess the economic potential of electric mobility solutions.

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

• Analyze global and regional trends in the electric vehicle market.
• Evaluate different business models for EV production and distribution.
• Identify investment opportunities and challenges in the EV sector.
• Understand the role of government policies in shaping the EV industry.

This instructor-led, live training in Lyon (online or onsite) is designed for advanced professionals aiming to master autonomous EV systems, connectivity features, and the cybersecurity challenges associated with connected and autonomous vehicles.

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

• Deploy autonomous driving algorithms and control systems.
• Integrate V2X communication protocols for connected vehicle networks.
• Mitigate cybersecurity risks associated with autonomous EVs.
• Engineer real-time processing solutions for autonomous navigation.

This instructor-led, live training in Lyon (online or onsite) is aimed at 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 Lyon (online or onsite) is designed for intermediate-level professionals who want to develop practical skills in evaluating EV battery lifecycles, implementing recycling technologies, and addressing sustainability challenges in the automotive sector.

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

• Analyze the lifecycle of EV batteries and assess their environmental impact.
• Identify recycling techniques for various battery chemistries.
• Implement sustainable practices for battery reuse and disposal.
• Formulate policies to support circular economy initiatives.

This instructor-led, live training in Lyon (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 Lyon (online or onsite) is aimed at intermediate-level automotive professionals who wish to develop practical skills in retrofitting gasoline cars into electric vehicles, including understanding legal requirements, safety considerations, and cost implications.

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

• Plan and execute an EV retrofitting project.
• Replace combustion engines with electric powertrains.
• Integrate battery systems and charging components.
• Assess legal requirements and cost-effectiveness of retrofits.

This instructor-led, live training in Lyon (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 Lyon (available online or on-site) targets advanced-level automotive software professionals who aim to elevate their skills in designing embedded systems and intelligent software solutions for electric vehicles, including the integration of AI for autonomous capabilities.

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

• Develop embedded software for electric vehicle control systems.
• Execute real-time data processing to optimize vehicle performance.
• Incorporate AI-driven decision-making processes for autonomous electric vehicles.
• Adopt industry best practices regarding software safety and automotive regulatory compliance.

This instructor-led, live training in Lyon (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 Lyon (online or onsite) is aimed at advanced-level automotive professionals who wish to develop expertise in designing, developing, and optimizing electric vehicles, focusing on next-generation technologies and sustainable mobility solutions.

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

• Design efficient and aerodynamic EV architectures.
• Integrate energy-optimized powertrains and battery systems.
• Apply innovative design concepts for enhanced performance.
• Develop prototypes using advanced simulation tools.

This instructor-led, live training in Lyon (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 Lyon (online or onsite) is aimed at intermediate-level automotive professionals who wish to develop practical skills in diagnosing, maintaining, and troubleshooting electric vehicle systems, including motors, batteries, and onboard software.

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

• Perform routine maintenance on electric vehicle components.
• Diagnose common issues with EV powertrains and battery systems.
• Use diagnostic tools and software for fault identification.
• Implement safe practices when handling high-voltage systems.

This instructor-led, live training in Lyon (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) represents a global collaborative effort among automotive manufacturers, suppliers, and tool vendors to establish 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 utilizing both AUTOSAR Classic and Adaptive platforms, with a specific emphasis on ADAS (Advanced Driver Assistance Systems).

Upon completing this training, participants will be capable of:

• Comprehending the architectures of AUTOSAR Classic and Adaptive platforms and identifying their primary distinctions.
• Developing and configuring automotive software components using AUTOSAR-compliant tools.
• Integrating and testing ADAS software components within AUTOSAR Adaptive environments.
• Applying best practices for safety, security, and performance optimization in automotive systems.

Format of the Course also allows for the evaluation of participants.

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

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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

This instructor-led, live training in Lyon (online or onsite) is designed for intermediate-level professionals looking to build skills in designing, managing, and integrating EV charging infrastructure with smart grids to support sustainable mobility and energy management.

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

• Design efficient and scalable EV charging stations.
• Analyze the grid impact of widespread EV adoption.
• Integrate renewable energy sources into EV charging systems.
• Implement smart charging strategies to balance grid load.

This instructor-led, live training in Lyon (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 Lyon (online or onsite) targets advanced-level software developers who aim to deepen their knowledge and understanding of AUTOSAR RTE systems and master the skills necessary to develop and implement complex AUTOSAR RTE systems within their organizations. The curriculum covers advanced topics including RTE design patterns, configuration, code generation, testing, debugging techniques, and various AUTOSAR RTE components.

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

• Analyze RTE requirements and design efficient RTE solutions for complex automotive applications.
• Develop and integrate AUTOSAR RTE components, such as software components, communication interfaces, and service interfaces.
• Optimize RTE performance by configuring RTE parameters, implementing custom RTE extensions, and applying best practices.
• Troubleshoot common RTE issues and implement effective debugging techniques.
• Leverage advanced RTE features, including multicore support, security mechanisms, and distributed systems.

This instructor-led, live training in Lyon (online or onsite) targets intermediate-level automotive engineers and embedded systems developers who wish to understand the theoretical aspects of ECUs, focusing on 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 Lyon (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.

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

• Comprehend the structure and function of EV powertrains.
• Analyze various battery chemistries and their applications in EVs.
• Apply battery management techniques to enhance performance and safety.
• Assess energy efficiency across different EV configurations.

This instructor-led live training in Lyon (online or onsite) is designed for advanced data scientists, AI specialists, and automotive AI developers seeking to construct, 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 Lyon (online or onsite) is designed for automotive engineers seeking to use AUTOSAR for designing automotive motor controllers.

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

• Grasp the AUTOSAR architecture and methodology.
• Learn to design motor controllers using AUTOSAR principles.

This instructor-led, live training in Lyon (online or onsite) is aimed at beginner-level professionals who wish to gain foundational knowledge of electric vehicles, including their types, core components, and basic charging infrastructure, and prepare themselves to explore advanced concepts and practical applications in the automotive industry.

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

• Comprehend the basic principles and components of electric vehicles.
• Identify different types of EVs and their key features.
• Recognize the advantages and challenges associated with EV adoption.
• Explain the fundamentals of EV charging infrastructure.
• Analyze the impact of EVs on the automotive industry and sustainability.

This instructor-led, live training in Lyon (online or on-site) is designed for beginner-level quality engineers who wish to learn how to utilize Core Quality 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 Core 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 Lyon (online or onsite) targets beginner-level quality control professionals eager to master the fundamentals of Statistical Process Control (SPC) and apply them in real-world scenarios.

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

• Grasp the essential principles of Statistical Process Control (SPC).
• Utilize basic SPC instruments such as control charts, histograms, Pareto charts, and scatter diagrams to monitor process performance.
• Generate and interpret diverse types of control charts for variable and attribute data to detect and analyze process variations.
• Calculate and interpret process capability indices.

This instructor-led live training in Lyon (online or onsite) targets developers who wish to install, set up, and deploy the AGL platform for developing automotive projects and applications.

By the end of this training, participants will be able to create, develop, and customize automotive services and applications using the AGL open platform and development framework.

This course explores the application of AI, with a focus on Machine Learning and Deep Learning, within the automotive industry. It aids in identifying technologies suitable for various in-vehicle scenarios, ranging from basic automation and image recognition to autonomous decision-making processes.

The 'Automotive SPICE (A-SPICE) - Introduction' workshop focuses on an overview of the Automotive SPICE process assessment model, covering its structure, classification, and interpretation guidelines. Participants acquire 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 Lyon (online or on-site) is designed for engineers who want to protect connected vehicles from cyber threats.

By the end 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 Lyon (online or onsite) is primarily designed for engineers who wish to utilize AUTOSAR to design automotive components.

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

• Install and configure AUTOSAR.
• Establish a workflow.
• Navigate the AUTOSAR environment with ease.
• Work efficiently.

This instructor-led, live training (available online or on-site) is designed for intermediate-level embedded software developers and automotive engineers who aim 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 capable of:

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

Gaining a comprehensive understanding of the AUTOSAR layered architecture and basic software modules (BSW).

Designing and implementing the AUTOSAR Operating System (OS) and communication stack (COM stack).

Utilizing CANoe or comparable tools for simulation, testing, and diagnostics within an AUTOSAR environment.

This instructor-led training session, available both online and onsite, is designed for intermediate-level embedded software developers and automotive engineers seeking to master the configuration of AUTOSAR OS (rooted in OSEK/VDX standards) and the COM Stack. The course focuses on establishing robust task scheduling and communication protocols within automotive ECUs.

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

• Grasp the AUTOSAR OS architecture and its scheduling policies
• Develop and manage tasks, events, alarms, and counters effectively
• Detail and configure COM Stack layers, encompassing PDUR and essential communication services
• Explain protocol stacks (including CAN, LIN, FlexRay, and Ethernet) and AUTOSAR's interface mechanisms
• Utilize industry-standard tools such as Vector DaVinci or ETAS ISOLAR to configure OS and COM modules
• Simulate and verify task execution and communication flows in AUTOSAR-based ECUs

This two-day course covers all the principles related to the AUTomotiveOpen System Architecture RunTime Environment, which is the most widely recognized industrial standard for automotive software development. The course includes both fundamental and advanced topics that are highly beneficial for automotive professionals.

Enhance automotive engineering capabilities through this advanced Simulink training, which integrates theoretical models of multidomain dynamic systems with practical examples utilizing Simulink/Stateflow verifiers, Reactis tools, and Matelo applications. Tailored for automotive systems engineers, control specialists, and MATLAB/Simulink professionals aiming to master complex automotive modeling, this course provides hands-on expertise in solver selection, subsystem simulation parameters, and system verification. Participants will learn to build reliable, high-performance automotive control models, thereby accelerating vehicle development cycles.

Objective: This training is designed for software engineers utilizing Model-Based Design (MBD) technology. The course covers modeling techniques for automotive systems, automotive standards, automated code generation, and the creation and verification of model test harnesses. Audience: Software developers working for automotive suppliers.

This instructor-led, live training in Lyon (online or onsite) is designed for quality and manufacturing professionals aiming to implement VDA 6.3 standards within their organizations.

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

• Comprehend the requirements and procedures of the German automotive audit methodology.
• Learn to plan, execute, and report internal audits and evaluations in accordance with VDA 6.3 requirements.
• Fulfill the requirements for German automotive industry audit standards.
• Utilize the VDA 6.3 questionnaire and audit scoring system.
• Identify key processes for effective, efficient, and VDA 6.3-compliant product development.