ISO 26262 Automotive Functional Safety Training Course

This instructor-led, live training in the UK (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 the UK (online or onsite) 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.
• 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.

AUTOSAR (AUTomotive Open System ARchitecture) is a worldwide development partnership of automotive manufacturers, suppliers, and tool developers that standardizes software architecture for automotive electronic control units (ECUs).

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

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on practice with industry-standard AUTOSAR tools.
• Project-based learning and simulation of automotive use cases.

Course Customisation Options

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

This instructor-led, live training in the UK (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.

This instructor-led, live training in the UK (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 the UK (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 the UK (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 the UK (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.

Objectives

• Gaining knowledge of ISO 27001:2023
• Gaining knowledge on how to audit in accordance with the standard
• Getting to know good practices

Why should you attend?

ISO/IEC 27001 Foundation training allows you to learn the basic elements to implement and manage an Information Security Management System as specified in ISO/IEC 27001. During this training course, you will be able to understand the different modules of ISMS, including ISMS policy, procedures, performance measurements, management commitment, internal audit, management review and continual improvement.

After completing this course, you can sit for the exam and apply for the “PECB Certified ISO/IEC 27001 Foundation” credential. A PECB Foundation Certificate shows that you have understood the fundamental methodologies, requirements, framework and management approach.

Who should attend?

• Individuals involved in Information Security Management 
• Individuals seeking to gain knowledge about the main processes of Information Security Management Systems (ISMS)
• Individuals interested to pursue a career in Information Security Management

Educational approach

• Lecture sessions are illustrated with practical questions and examples
• Practical exercises include examples and discussions
• Practice tests are similar to the Certification Exam

Information security threats and attacks increase and improve constantly. The best form of defense against them is the proper implementation and management of information security controls and best practices. Information security is also a key expectation and requirement of customers, legislators, and other interested parties.

This training course is designed to prepare participants in implementing an information security management system (ISMS) based on ISO/IEC 27001. It aims to provide a comprehensive understanding of the best practices of an ISMS and a framework for its continual management and improvement.

After attending the training course, you can take the exam. If you successfully pass it, you can apply for a “PECB Certified ISO/IEC 27001 Lead Implementer” credential, which demonstrates your ability and practical knowledge to implement an ISMS based on the requirements of ISO/IEC 27001.

Who Can Attend?

• Project managers and consultants involved in and concerned with the implementation of an ISMS
• Expert advisors seeking to master the implementation of an ISMS
• Individuals responsible for ensuring conformity to information security requirements within an organization
• Members of an ISMS implementation team

General information

• Certification fees are included in the exam price
• Training material containing over 450 pages of information and practical examples will be distributed
• A participation certificate of 31 CPD (Continuing Professional Development) credits will be issued
• In case of exam failure, you can retake the exam within 12 months free of charge

Educational approach

• This training course contains essay-type exercises, multiple-choice quizzes, examples, and best practices used in the implementation of an ISMS.
• The participants are encouraged to communicate with each other and engage in discussions when completing quizzes and exercises.
• The exercises are based on a case study.
• The structure of the quizzes is similar to that of the certification exam.

Learning objectives

This training course will help you:

• Gain a comprehensive understanding of the concepts, approaches, methods, and techniques used for the implementation and effective management of an ISMS
• Acknowledge the correlation between ISO/IEC 27001, ISO/IEC 27002, and other standards and regulatory frameworks
• Understand the operation of an information security management system and its processes based on ISO/IEC 27001
• Learn how to interpret and implement the requirements of ISO/IEC 27001 in the specific context of an organization
• Acquire the necessary knowledge to support an organization in effectively planning, implementing, managing, monitoring, and maintaining an ISMS

This instructor-led, live training in the UK (online or onsite) is aimed 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 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 the UK (online or onsite) is aimed at intermediate to expert-level IT professionals who wish to enhance their skills and qualifications in information security or related fields.

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

• Understand the differences between ISO/IEC 27001:2013 and ISO/IEC 27001:2022.
• Gain the knowledge and skills to plan and implement the transition from the 2013 to the 2022 version of the standard efficiently.
• Apply the knowledge in real-world scenarios, facilitating a smooth transition in their respective organizations.

This instructor-led, live training in the UK (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 the UK (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.