ISO 26262 Part 6: Safe Software Development Training Course

This instructor-led, live training in Slovakia (online or onsite) is designed for advanced-level professionals seeking to build comprehensive expertise in autonomous EV systems, connectivity capabilities, and the cybersecurity challenges inherent in 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.
• Engineer real-time processing solutions for autonomous navigation.

This live, instructor-led training in Slovakia (online or onsite) is designed for experienced automotive professionals seeking to build expertise in the design, development, and optimization of electric vehicles. The focus is on next-generation technologies and sustainable mobility solutions.

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

• Create efficient and aerodynamically optimized EV architectures.
• Integrate powertrains and battery systems designed for maximum energy efficiency.
• Implement innovative design strategies to boost vehicle performance.
• Build prototypes utilizing advanced simulation software.

This instructor-led, live training in Slovakia (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 Slovakia (online or onsite) is tailored for 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 Slovakia (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 live, instructor-led session in Slovakia (online or onsite) targets intermediate-level AI developers and computer vision engineers aiming 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 Slovakia (online or onsite) targets beginner-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:

• Comprehend 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 Slovakia (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 Slovakia (online or onsite) is designed for beginner-level professionals and enthusiasts who want to grasp the fundamental concepts, technologies, and applications of autonomous vehicles.

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

• Comprehend the main components and operational principles of autonomous vehicles.
• Discover the roles of AI, sensors, and real-time data processing in self-driving systems.
• Evaluate various levels of vehicle autonomy and their practical applications.
• Review the ethical, legal, and regulatory dimensions of autonomous mobility.
• Acquire practical experience with autonomous vehicle simulations.

Why attend this course?

The ISO/IEC 27001 Foundation training provides you with the essential knowledge to implement and manage an Information Security Management System (ISMS) in accordance with the standards outlined in ISO/IEC 27001. Throughout the course, you will gain a comprehensive understanding of various ISMS components, including policy formulation, procedural documentation, performance metrics, management commitment, internal auditing, management reviews, and the cycle of continual improvement.

Upon successful completion of the course, you will be eligible to take the examination and pursue the "PECB Certified ISO/IEC 27001 Foundation" credential. Holding a PECB Foundation Certificate demonstrates your mastery of the core methodologies, requirements, frameworks, and management approaches associated with information security.

Target Audience

• Professionals currently engaged in Information Security Management.
• Individuals aiming to acquire knowledge regarding the key processes of Information Security Management Systems (ISMS).
• Those interested in launching or advancing a career in Information Security Management.

Teaching Methodology

• Lectures are supported by practical questions and real-world examples.
• Practical exercises incorporate examples and collaborative discussions.
• Practice tests closely mirror the format of the actual Certification Exam.

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

This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals who want to master the interpretation of ISO 9001 and ISO 27001 standards and conduct internal audits with precision.

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

• Grasp the fundamental principles and mandatory requirements of ISO 9001 and ISO 27001.
• Apply the interpretation of clauses and controls to real-world business contexts.
• Effectively plan and execute internal audits in alignment with ISO standards.
• Identify nonconformities and formulate appropriate corrective actions.

Format of the Course

• Interactive lectures and group discussions.
• Simulated auditing exercises and case studies.
• Practical analysis of quality and security scenarios.

Course Customization Options

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

Who can attend?

• Professionals aiming to perform and lead information security management system (ISMS) audits
• Managers or consultants who wish to master the information security management system audit process
• Staff members tasked with ensuring organizational compliance with ISMS requirements
• Technical experts preparing for information security management system audits
• Specialist advisors in the field of information security management

Learning objectives

Upon completing this training course, participants will be able to:

1. Describe the core concepts and principles of an information security management system (ISMS) as defined by ISO/IEC 27001
2. Analyze ISO/IEC 27001 ISMS requirements from an auditor's viewpoint
3. Assess ISMS conformity with ISO/IEC 27001 standards, applying fundamental audit concepts and principles
4. Plan, execute, and finalize an ISO/IEC 27001 compliance audit in line with ISO/IEC 17021-1 requirements, ISO 19011 guidelines, and established auditing best practices
5. Oversee an ISO/IEC 27001 audit program

Educational approach

• The training combines theoretical foundations with best practices utilized in ISMS audits
• Lectures are enriched with examples derived from case studies
• Hands-on exercises utilize a case study format, incorporating role-playing and group discussions
• Practice tests mirror the format of the Certification Exam

This instructor-led, live training in Slovakia (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 Slovakia (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 Slovakia (online or onsite) targets intermediate-level network engineers and automotive IoT developers seeking to comprehend and deploy V2X communication technologies for autonomous vehicles.

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

• Comprehend the core concepts of V2X communication.
• Evaluate V2V, V2I, V2P, and V2N communication models.
• Deploy V2X protocols including DSRC and C-V2X.
• Create simulations for connected vehicle ecosystems.
• Tackle cybersecurity and privacy challenges within V2X networks.