ISO 26262 Automotive Functional Safety Training Course

This instructor-led, live training in Vietnam (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 Vietnam (online or onsite) is tailored for advanced data scientists, AI specialists, and automotive AI developers who aim to build, train, and optimize AI models for autonomous driving.

By the end of the program, participants will be able to:

• Understand the foundational aspects of AI and deep learning within the context of autonomous vehicles.
• Apply computer vision techniques to achieve real-time object detection and lane following.
• Utilize reinforcement learning to drive decision-making processes in self-driving systems.
• Integrate sensor fusion methods to enhance perception and navigation accuracy.
• Construct deep learning models for predicting and analyzing driving scenarios.

This instructor-led live training in Vietnam (online or onsite) targets 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 Vietnam (online or onsite) targets 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:

• Grasp the fundamental concepts of computer vision within autonomous vehicles.
• Implement algorithms for object detection, lane detection, and semantic segmentation.
• Integrate vision systems with other subsystems of autonomous vehicles.
• Utilize deep learning techniques for advanced perception tasks.
• Evaluate the performance of computer vision models in real-world scenarios.

This instructor-led, live training in Vietnam (online or onsite) is designed for beginner-level professionals seeking to explore the ethical dilemmas and legal structures surrounding autonomous vehicles.

By completing this training, participants will be able to:

• Grasp the ethical implications of AI-driven decision-making in autonomous vehicles.
• Analyze global legal frameworks and policies that regulate self-driving cars.
• Investigate liability and accountability issues arising from autonomous vehicle accidents.
• Assess the balance between fostering innovation and ensuring public safety within autonomous driving regulations.
• Discuss real-world case studies involving ethical dilemmas and legal disputes.

This instructor-led, live training in Vietnam (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:

• Grasp the structure and function of EV powertrains.
• Evaluate various battery chemistries and their applications in EVs.
• Apply battery management techniques to enhance performance and safety.
• Assess energy efficiency across different EV configurations.

This instructor-led, live training in Vietnam (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

• Acquire in-depth knowledge of ISO 27001:2023
• Learn how to conduct audits in alignment with the standard
• Explore industry best practices

Objectives

• Develop a comprehensive understanding of ISO 27001:2023.
• Learn how to conduct audits in alignment with the standard's requirements.
• Familiarize yourself with industry best practices.

Learning Objectives

• Understand the updates introduced in the ISO 27001:2023 edition.
• Learn how to conduct audits in compliance with the standard.
• Familiarize yourself with industry best practices.

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

By the conclusion of this training, participants will be capable of:

• Gaining a solid grasp of core V2X communication concepts.
• Evaluating V2V, V2I, V2P, and V2N communication models.
• Implementing V2X protocols including DSRC and C-V2X.
• Creating simulations for connected vehicle ecosystems.
• Tackling cybersecurity and privacy challenges within V2X networks.