Automotive Training in Maia

This instructor-led, live training in Maia (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 Maia (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 Maia (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 Maia (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 Maia (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 Maia (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 Maia (online or onsite) is aimed at advanced-level software developers who wish to gain deeper knowledge and understanding of AUTOSAR RTE systems, and master the skills required to develop and implement complex AUTOSAR RTE systems in their organization. It will cover advanced topics such as RTE design patterns, configuration, generation, testing, and debugging techniques, and various AUTOSAR RTE components.

By the end 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.
• Utilize advanced RTE features, such as multicore support, security mechanisms, and distributed systems.

This instructor-led, live training in Maia (online or onsite) is aimed at 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 Maia (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 Maia (online or onsite) is aimed at automotive engineers who wish to use AUTOSAR to design automotive motor controllers.

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

• Understand AUTOSAR architecture and methodology.
• Learn how to design motor controllers using AUTOSAR.

This instructor-led, live training in Maia (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 Maia (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 instructor-led, live training in Maia (online or onsite) is aimed at advanced-level data scientists, AI specialists, and automotive AI developers who wish 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.

A two day course covering all principles related to AUTomotiveOpen System Architecture RunTime Environment, the most famous industrial standard for automotive software development; the course contains both basic topics and advanced topics which is very useful for automotive professionals

A two day course covering all design principles with code examples coupled with recent industrial technology; very useful for automotive software developers

This is a specialized HMI Development course designed for automotive professionals who are involved in the development of advanced automotive infotainment system

This course covers AI (emphasizing Machine Learning and Deep Learning) in Automotive Industry. It helps to determine which technology can be (potentially) used in multiple situation in a car: from simple automation, image recognition to autonomous decision making.

Objective: This training is meant for software Engineers who are working with MBD technology, the training will cover Modelling techniques for Automotive systems, Automotive standards ,Auto-code generation and Model test harness building and verification Audience: Software developper for automotive supplier

Simulink is a graphical programming environment for modeling, simulating and analyzing multidomain dynamic systems.

In this instructor-led, live training in Maia (online or onsite), participants will learn to configure DEM as they step through the creation and customization of a sample AUTOSTAR (AUTomotiveOpen System ARchitecture) application.

This instructor-led, live training in Maia (online or onsite) is aimed at mostly engneers 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.

The Advanced Product Quality Planning (APQP) course is designed to provide participants with a comprehensive understanding of the APQP process and its application in product development and launch. This course will cover the key concepts, tools, and techniques used in APQP, enabling participants to effectively plan and manage quality throughout the product development lifecycle. Through practical examples, case studies, and interactive exercises, participants will develop the skills and knowledge necessary to successfully implement APQP in their organizations and ensure the delivery of high-quality products to customers.

This comprehensive course is designed to provide participants with in-depth knowledge and expertise in implementing and maintaining a Quality Management System (QMS) compliant with the IATF 16949 standard. Participants will gain a deep understanding of the requirements, processes, and best practices related to automotive quality management. Through practical examples and case studies, participants will learn how to effectively apply the principles of IATF 16949 to ensure the highest level of quality in automotive manufacturing and supply chain operations

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

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

• Implement cybersecurity in automotive systems.
• Choose the most suitable technologies, tools, and approaches.

This instructor-led, live training in Maia (online or onsite) is aimed at supply managers and personnel who wish to adopt a quality-centric approach to managing suppliers.

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

• Adopt a proactive and collaborative approach for enhancing supplier quality.
• Clearly define and communicate supply specifications and requirements.
• Explore different Supplier Quality Management Systems (QMS) and apply an analytical approach to choose the most suitable one.
• Use a QMS system to continuously monitor, inspect and audit supply chains.
• Ensure that suppliers provide the highest quality products and services.

The "Automotive SPICE (A-SPICE) - Introduction" workshop focuses on an overview of the Automotive SPICE process evaluation model, discussing structure, classification and interpretation guidelines. Participants gain the competence to understand the evaluation process from the perspective of project managers and stakeholders. The course covers the importance of ASPICE in the market, compliance, different process groups and ASPICE levels through real-world implementation examples.

This instructor-led, live training in Maia (online or onsite) is aimed at developers who wish to install, set up, and deploy the AGL platform to develop 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 instructor-led, live training in Maia (online or onsite) is aimed at quality and manufacturing professionals who wish to implement VDA 6.3 standards in their organization.

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

• Understand the requirements and processes of the German automotive audit methodology.
• Learn how to plan, conduct, and report internal audits and evaluation based on the VDA 6.3 requirements.
• Meet the requirements for German automotive industry audit standards.
• Apply the VDA 6.3 questionnaire and audit scoring.
• Know the key processes for effective, efficient, and VDA 6.3 compliant product development.

This instructor-led, live training (online or onsite) is aimed at intermediate-level embedded software developers and automotive engineers who wish to use AUTOSAR Classic Platform to develop, integrate, and test standardized software components for electronic control units (ECUs).

By the end 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).

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

Design and implement AUTOSAR OS and communication stack (COM stack).

Use CANoe or similar tools for simulation, testing, and diagnostics in an AUTOSAR environment.

This instructor-led, live training (online or onsite) is aimed at intermediate-level embedded software developers or automotive engineers who wish to understand and configure AUTOSAR OS (based on OSEK/VDX) and the COM Stack to enable reliable task scheduling and communication in automotive ECUs.

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

• Understand the AUTOSAR OS architecture and scheduling policies
• Implement and manage tasks, events, alarms, and counters
• Describe and configure the 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 tools (Vector DaVinci or ETAS ISOLAR)
• Simulate and validate task and communication flow in an AUTOSAR-based ECU