ISO 26262 Automotive Functional Safety Training Course

This instructor-led, live training in Norway (online or onsite) is designed for advanced professionals aiming to build deep expertise in autonomous EV systems, connectivity features, and the cybersecurity challenges inherent to connected and autonomous vehicles.

Upon completing this training, participants will be able to:

• Deploy autonomous driving algorithms and control systems.
• Implement V2X communication for connected vehicle networks.
• Mitigate cybersecurity risks in autonomous EVs.
• Create real-time processing solutions for autonomous navigation.

This instructor-led, live training in Norway (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 Norway (online or on-site) targets advanced 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 Norway (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 Norway (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 Norway (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 Norway (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 live, instructor-led training in Norway (online or on-site) is designed for beginner-level business professionals aiming to understand EV market dynamics, develop strategic insights, and evaluate 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 Norway (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 Norway (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.

ISO/IEC 27001 Lead Auditor

The ISO/IEC 27001 Lead Auditor training equips you with the essential expertise to conduct Information Security Management System (ISMS) audits by applying internationally recognized audit principles, procedures, and techniques.

Why should you attend?

Through this training course, you will gain the knowledge and skills required to plan and execute both internal and external audits in compliance with ISO 19011 and the ISO/IEC 17021-1 certification process.

Through practical exercises, you will master audit techniques and develop the competence to manage an audit program, lead an audit team, communicate effectively with clients, and resolve conflicts.

Once you have acquired the necessary expertise to perform this audit, you can take the exam and apply for the “PECB Certified ISO/IEC 27001 Lead Auditor” credential. By holding a PECB Lead Auditor Certificate, you demonstrate that you possess the capabilities and competencies to audit organizations according to best practices.

Who should attend?

• Auditors looking to perform and lead Information Security Management System (ISMS) certification audits
• Managers or consultants aiming to master the Information Security Management System audit process
• Professionals responsible for maintaining conformance with Information Security Management System requirements
• Technical experts preparing for an Information Security Management System audit
• Expert advisors in Information Security Management

Learning objectives

• Understand the operations of an Information Security Management System based on ISO/IEC 27001
• Recognize the correlation between ISO/IEC 27001, ISO/IEC 27002, and other standards and regulatory frameworks
• Understand the auditor’s role to plan, lead, and follow up on a management system audit in accordance with ISO 19011
• Learn how to lead an audit and an audit team
• Learn how to interpret the requirements of ISO/IEC 27001 within the context of an ISMS audit
• Acquire the competencies of an auditor to plan an audit, lead an audit, draft reports, and follow up on an audit in compliance with ISO 19011

Educational approach

• This training combines theoretical knowledge with best practices used in ISMS audits
• Lecture sessions are supported by examples based on case studies
• Practical exercises are based on a case study involving role-playing and discussions
• Practice tests mirror the format of the Certification Exam

ISO 9001 and ISO 27001 stand as globally acknowledged benchmarks for quality management and information security management systems, respectively.

This instructor-led live training, available either online or onsite, is designed for intermediate-level professionals looking to master the interpretation of ISO 9001 and ISO 27001 standards and execute internal audits with confidence.

Upon completing this training, participants will be equipped to:

• Comprehend the core principles and mandatory requirements of both ISO 9001 and ISO 27001.
• Apply the interpretation of clauses and controls to real-world business contexts.
• Plan and carry out internal audits that align with ISO standards.
• Detect nonconformities and propose appropriate corrective measures.

Course Format

• Engaging lectures combined with group discussions.
• Simulated auditing exercises and in-depth case studies.
• Practical analysis of various quality and security scenarios.

Customization Options

• To arrange a tailored training session for this course, please reach out to us.

This instructor-led, live training in Norway (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 Norway (online or onsite) is designed for intermediate-level engineers, automotive professionals, and IoT specialists who wish to gain insight into the role of sensors in self-driving cars. The curriculum covers LiDAR, radar, cameras, and sensor fusion techniques.

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

• Comprehend the various types of sensors utilized in autonomous vehicles.
• Analyze sensor data to support real-time vehicle perception and decision-making.
• Implement sensor fusion techniques to enhance vehicle accuracy and safety.
• Optimize sensor placement and calibration to improve autonomous driving performance.

This instructor-led, live training in Norway (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.