ISO 26262 Automotive Functional Safety Training Course

This instructor-led, live training in Poland (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 Poland (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 Poland (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 Poland (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 Poland (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 Poland (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 Poland (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 Poland (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 Poland (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 Poland (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.

ISO/IEC 27001 Lead Auditor 

ISO/IEC 27001 Lead Auditor training enables you to develop the necessary expertise to perform an Information Security Management System (ISMS) audit by applying widely recognized audit principles, procedures and techniques.

Why should you attend?

During this training course, you will acquire the knowledge and skills to plan and carry out internal and external audits in compliance with ISO 19011 and ISO/IEC 17021-1 certification process.

Based on practical exercises, you will be able to master audit techniques and become competent to manage an audit program, audit team, communication with customers, and conflict resolution.

After acquiring the necessary expertise to perform this audit, you can sit for the exam and apply for a “PECB Certified ISO/IEC 27001 Lead Auditor” credential. By holding a PECB Lead Auditor Certificate, you will demonstrate that you have the capabilities and competencies to audit organizations based on best practices.

 Who should attend?

• Auditors seeking to perform and lead Information Security Management System (ISMS) certification audits
• Managers or consultants seeking to master an Information Security Management System audit process
• Individuals responsible for maintaining conformance with Information Security Management System requirements
• Technical experts seeking to prepare 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 
• Acknowledge the correlation between ISO/IEC 27001, ISO/IEC 27002 and other standards and regulatory frameworks
• Understand an 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 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 an audit, lead an audit, draft reports, and follow-up on an audit in compliance with ISO 19011

Educational approach

• This training is based on both theory and best practices used in ISMS audits
• Lecture sessions are illustrated with examples based on case studies
• Practical exercises are based on a case study which includes role playing and discussions
• Practice tests are similar to the Certification Exam

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to interpret ISO 9001 and ISO 27001 standards and perform internal audits effectively.

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

• Understand the principles and requirements of ISO 9001 and ISO 27001.
• Interpret the clauses and controls in real-world contexts.
• Plan and conduct internal audits aligned with ISO standards.
• Identify nonconformities and recommend corrective actions.

Format of the Course

• Interactive lecture and discussion.
• Simulated auditing exercises and case studies.
• Hands-on analysis of quality and security scenarios.

Course Customization Options

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

This instructor-led, live training in Poland (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 Poland (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 Poland (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.