Automotive Training in Auckland

This instructor-led, live training in Auckland (online or on-site) is designed for entry-level professionals seeking 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.
• Analyse 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 legislation.
• Discuss real-world case studies involving ethical dilemmas and legal disputes.

This instructor-led, live training in Auckland (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.
• Analyse 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 Auckland (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.
• Analyse 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 Auckland (online or onsite) is designed for intermediate-level engineers, automotive professionals, and IoT specialists who wish to understand the role of sensors in self-driving cars, with coverage of 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 Auckland (online or on-site) is designed for advanced-level safety engineers and automotive safety professionals seeking to develop comprehensive safety strategies for autonomous vehicles. These strategies include hazard analysis, functional safety assessments, and adherence to 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 to address AV safety challenges.

This instructor-led, live training in Auckland (online or on-site) is targeted 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 conclusion of this training, participants will be able to:

• Understand the fundamentals and challenges associated with multi-sensor data fusion.
• Implement sensor fusion algorithms for real-time autonomous navigation.
• Integrate data from LiDAR, cameras, and RADAR to enhance perception.
• Analyse and evaluate the performance of fusion systems under various conditions.
• Develop practical solutions for sensor noise reduction and data alignment.

AUTOSAR (AUTomotive Open System ARchitecture) is a global partnership of automotive manufacturers, suppliers, and tool developers dedicated to standardising the software architecture for automotive electronic control units (ECUs).

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

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

• Understand the architectures of AUTOSAR Classic and Adaptive, along with their key distinctions.
• Develop and configure automotive software components using AUTOSAR-compliant tools.
• Integrate and test ADAS software components within AUTOSAR Adaptive environments.
• Apply best practices for safety, security, and performance optimisation in automotive systems.

Course Format

• Interactive lectures and discussion.
• Hands-on practice using industry-standard AUTOSAR tools.
• Project-based learning and simulation of real-world automotive use cases.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

This instructor-led, live training in Auckland (online or on-site) 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 Auckland (available online or on-site) is designed for intermediate-level automotive engineers and technicians seeking hands-on experience in testing, simulating, and diagnosing ECUs using Vector tools such as CANoe and CANape.

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

• Understand the role and function of ECUs within automotive systems.
• Set up and configure Vector tools including CANoe and CANape.
• Simulate and test ECU communication across CAN and LIN networks.
• Analyse data and carry out diagnostics on ECUs.
• Create test cases and automate testing workflows.
• Calibrate and optimise ECUs using practical, real-world approaches.

This instructor-led, live training in Auckland (online or on-site) 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.
• Optimise 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 Auckland (online or onsite) is aimed at intermediate-level automotive engineers and embedded systems developers who wish to understand the theoretical aspects of ECUs, with a focus 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.
• Analyse 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 Auckland (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 instructor-led, live training in Auckland (online or on-site) is aimed at advanced-level data scientists, AI specialists, and automotive AI developers who wish to build, train, and optimise 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.
• Utilise 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 analyse driving scenarios.

This instructor-led, live training in Auckland (available online or on-site) is designed for entry-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 significance and integration of the Quality Core Tools.
• Master the concepts and application of APQP processes to enable effective product quality planning.
• Identify potential failures in products and processes, assess 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 Auckland (online or on-site) is designed for quality control professionals at a beginner level who wish to master 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:

• Grasp the core principles of Statistical Process Control (SPC).
• Apply fundamental SPC tools, including control charts, histograms, Pareto charts, and scatter diagrams, to monitor process performance.
• Create and interpret various types of control charts for both variable and attribute data to identify and analyse process variations.
• Calculate and interpret process capability indices.

This course covers AI (emphasising Machine Learning and Deep Learning) in the automotive industry. It helps determine which technologies can potentially be used in a variety of automotive scenarios—from simple 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 interpretative guidelines. Participants gain the competencies required 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, illustrated through examples of real-world implementations.

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

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

• Implement cyber security measures within automotive systems.
• Select the most appropriate technologies, tools, and approaches.

This instructor-led, live training in Auckland (available online or on-site) is primarily designed for engineers who wish to utilise Autosar to design automotive components.

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

• Install and configure Autosar.
• Establish a workflow.
• Navigate the Autosar environment with ease.
• Operate efficiently.

This instructor-led, live training (online or on-site) is designed for intermediate-level embedded software developers and automotive engineers who wish to use the AUTOSAR Classic Platform to develop, integrate, and test standardised 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 the communication stack (COM stack).

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

This instructor-led, live training (online or on-site) is designed for 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

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

This instructor-led, live training (available online or on-site) is designed for automotive professionals seeking to implement the ISO 26262 standard within their organisation.

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

• Comprehend functional safety in the context of automotive hardware and software development.
• Understand the legal responsibilities and compliance obligations associated with ISO 26262.
• Apply the safety processes mandated by ISO 26262.

Course Format

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

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.