Online or onsite, instructor-led live Automotive training courses demonstrate through interactive hands-on practice the fundamentals and advanced topics of Automotive technologies.
Automotive training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Automotive trainings in Dartmouth can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Dartmouth - Metropolitan Place
99 Wyse Road, Dartmouth, Canada, B3A 4S5
Metropolitan Place is an ocean-front building, close to Alderney Landing and home to leading businesses. Motorway exits and the local ferry terminal are located close by, and restaurants cafes are easily accessible for lunch.
This instructor-led, live training in Dartmouth (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 Dartmouth (online or onsite) is aimed at advanced-level professionals who wish to develop in-depth knowledge of autonomous EV systems, connectivity features, and the cybersecurity challenges associated with connected and autonomous vehicles.
By the end of this training, participants will be able to:
Implement autonomous driving algorithms and control systems.
Integrate V2X communication for connected vehicle networks.
Address cybersecurity risks in autonomous EVs.
Develop real-time processing solutions for autonomous navigation.
This instructor-led, live training in Dartmouth (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 Dartmouth (online or onsite) is aimed at intermediate-level professionals who wish to develop practical skills in evaluating EV battery lifecycle, implementing recycling technologies, and addressing sustainability challenges in the automotive industry.
By the end of this training, participants will be able to:
Analyze the lifecycle of EV batteries and 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 Dartmouth (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 Dartmouth (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 Dartmouth (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 Dartmouth (online or onsite) is aimed at advanced-level automotive software professionals who wish to enhance their expertise in designing embedded systems and intelligent software solutions for electric vehicles, including AI integration for autonomous functionalities.
By the end of this training, participants will be able to:
Design embedded software for EV control systems.
Implement real-time data processing for efficient vehicle operation.
Integrate AI-driven decision-making for autonomous EVs.
Apply best practices in software safety and automotive compliance.
This instructor-led, live training in Dartmouth (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 Dartmouth (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 Dartmouth (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 Dartmouth (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 Dartmouth (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.
This instructor-led, live training in Dartmouth (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 Dartmouth (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 Dartmouth (online or onsite) is aimed at intermediate-level professionals who wish to develop 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 Dartmouth (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 Dartmouth (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 Dartmouth (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 Dartmouth (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 instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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 Dartmouth (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:
Understand 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 Dartmouth (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 Dartmouth (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 Dartmouth (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 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.
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.
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 Dartmouth (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 Dartmouth (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:
In this instructor-led, live training in Dartmouth (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.
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 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
ISO 26262 defines the requirements for functional safety in the automotive sector.
This instructor-led, live training (online or onsite) is aimed at automotive professionals who wish to implement the ISO 26262 standard within their organization.
By the end of this training, participants will be able to:
Understand functional safety as it relates to automotive hardware and software development.
Understand the legal responsibilities and compliance requirements of ISO 26262.
Implement the safety processes prescribed in ISO 26262.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at automotive professionals who wish to implement the ISO 26262 standard within their organization.
By the end of this training, participants will be able to:
Establish complete and consistent software safety requirements.
Analyze software architectures for safety, including freedom from independence (FFI) analysis.
Build processes that use documentation tools to improve software quality.
Plan and execute an integration test strategy for software and systems.
Implement and test software units for safety applications.
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
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
This instructor-led, live training in Dartmouth (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.
This instructor-led, live training in Dartmouth (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.
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Testimonials (3)
Strong subject area knowledge and practical experience from the Trainers.
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