ISO 26262 Part 6: Safe Software Development Training Course

This instructor-led, live training in Norway (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 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 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 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 instructor-led, live training in Norway (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 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 an Information Security Management System (ISMS) audit, utilizing widely accepted audit principles, procedures, and techniques.

Why should you attend?

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

Through practical exercises, you will become proficient in audit techniques and be able to manage an audit program, lead an audit team, communicate effectively with clients, and resolve conflicts.

After acquiring the necessary expertise to perform this audit, you can take the exam and apply for the “PECB Certified ISO/IEC 27001 Lead Auditor” credential. Holding a PECB Lead Auditor Certificate will demonstrate your capability and competence in auditing organizations based on best practices.

Who should attend?

• Auditors aiming to conduct and lead Information Security Management System (ISMS) certification audits
• Managers or consultants looking to master the ISMS audit process
• Individuals responsible for maintaining compliance with ISMS requirements
• Technical experts preparing for an ISMS 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 relationship between ISO/IEC 27001, ISO/IEC 27002, and other standards and regulatory frameworks
• Understand an auditor’s role in planning, leading, and following up on a management system audit according to ISO 19011
• Learn how to lead an audit and an audit team
• Learn how to interpret the requirements of ISO/IEC 27001 in the context of an ISMS audit
• Acquire the competencies of an auditor to plan, lead, draft reports, and follow up on audits in compliance with ISO 19011

Educational approach

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

ISO 9001 and ISO 27001 are globally recognized standards for quality management systems and information security management systems, respectively.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who aim to interpret the ISO 9001 and ISO 27001 standards and conduct internal audits effectively.

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

• Comprehend the principles and requirements outlined in ISO 9001 and ISO 27001.
• Apply the clauses and controls to real-world situations.
• Plan and execute internal audits that align with ISO standards.
• Identify nonconformities and propose corrective actions.

Format of the Course

• Interactive lectures and discussions.
• Practical auditing exercises and case studies.
• Hands-on analysis of quality and security scenarios.

Course Customization Options

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

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 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 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.