ISO 26262 Automotive Functional Safety Training Course

This instructor-led, live training in Malaysia (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 Malaysia (online or onsite) is designed for advanced data scientists, AI specialists, and automotive developers looking to build, train, and optimise AI models for autonomous driving applications.

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

• Understand the basics of AI and deep learning as they relate to autonomous vehicles.
• Implement computer vision methods for real-time object detection and lane following.
• Use reinforcement learning to enable decision-making in self-driving systems.
• Apply sensor fusion techniques to improve perception and navigation.
• Develop deep learning models to predict and analyse driving scenarios.

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

Upon completion of 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 governing 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 Malaysia (online or onsite) is tailored for intermediate-level professionals seeking a comprehensive understanding of EV powertrain architectures, battery chemistry, Battery Management Systems (BMS), and the factors affecting energy efficiency in electric vehicles.

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

• Comprehend the structure and operational functions of EV powertrains.
• Analyze various battery chemistries and their respective applications within EVs.
• Apply battery management techniques to improve performance and ensure safety.
• Assess energy efficiency across different EV configurations.

This instructor-led, live training in Malaysia (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

• Gaining knowledge of ISO 27001:2023
• Gaining knowledge on how to audit in accordance with the standard
• Getting to know good practices

Course Objectives

• Acquire comprehensive knowledge of ISO 27001:2023.
• Learn how to conduct audits in strict accordance with the standard.
• Discover industry best practices.

Objectives

• Acquire an understanding of the updates introduced in the 2023 edition of ISO 27001.
• Learn how to conduct audits that align with the standard's requirements.
• Familiarise yourself with industry best practices.

This instructor-led, live training in Malaysia (online or onsite) is aimed at advanced-level sensor fusion specialists and AI engineers who wish to develop multi-sensor fusion algorithms and optimise 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.
• Analyse and evaluate fusion system performance under various conditions.
• Develop practical solutions for sensor noise reduction and data alignment.

This instructor-led, live training in Malaysia (online or onsite) is designed for IT professionals at intermediate to expert levels 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 Malaysia (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.
• Analyse 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 Malaysia (online or onsite) is designed for intermediate-level network engineers and automotive IoT developers who want to grasp and apply V2X communication technologies in autonomous vehicles.

Upon completing this training, participants will be capable of:

• Gaining a solid understanding of V2X communication fundamentals.
• Evaluating V2V, V2I, V2P, and V2N communication frameworks.
• Implementing V2X protocols like DSRC and C-V2X.
• Creating simulations for connected vehicle ecosystems.
• Tackling cybersecurity and privacy issues within V2X networks.