Automotive Training in Bangkok

This live, instructor-led session in Bangkok, offered online or onsite, is targeted at entry-level professionals seeking to examine the ethical tensions and legal landscapes associated with autonomous vehicles.

Once finished, attendees will have the capability to:

• Appreciate the ethical consequences of AI-controlled decisions in autonomous driving.
• Review worldwide legal structures and policies regulating self-driving cars.
• Explore liability and accountability issues following autonomous vehicle accidents.
• Assess the trade-off between technological progress and public safety in driving laws.
• Examine practical examples involving ethical conflicts and legal disputes.

This live, instructor-led program, delivered online or on-site, in Bangkok, is tailored for novice professionals and hobbyists aiming to comprehend the foundational principles, technical architectures, and use cases of autonomous vehicles.

Upon completing this training, attendees will be able to:

• Comprehend the critical parts and functional logic of autonomous vehicles.
• Examine the contribution of AI, sensor technology, and real-time data handling in self-driving systems.
• Review the varying degrees of vehicle autonomy and their practical applications in the field.
• Scrutinize the ethical, legal, and regulatory dimensions of autonomous transportation.
• Develop practical familiarity with autonomous vehicle simulation platforms.

This live, instructor-led training in Bangkok (online or onsite) is designed for mid-level network engineers and automotive IoT developers aiming to comprehend and deploy V2X communication technologies for autonomous vehicles.

Upon completion, participants will be equipped to:

• Grasp the core principles underlying V2X communication.
• Evaluate V2V, V2I, V2P, and V2N interaction models.
• Deploy V2X standards including DSRC and C-V2X.
• Create simulations for connected vehicle ecosystems.
• Navigate cybersecurity and privacy considerations within V2X networks.

This live, instructor-led training in Bangkok (delivered online or on-site) is tailored for intermediate-level engineers, automotive experts, and IoT professionals aiming to grasp the critical role of sensors in self-driving cars. The course covers LiDAR, radar, cameras, and sensor fusion techniques.

By the conclusion of this program, participants will be able to:

• Differentiate between the various sensor types utilized in autonomous vehicles.
• Process sensor data to enable real-time perception and decision-making.
• Deploy sensor fusion techniques to enhance vehicle accuracy and safety profiles.
• Optimize sensor positioning and calibration to improve autonomous driving performance.

This instructor-led, live training in Bangkok (online or onsite) is designed for advanced safety engineers and automotive professionals aiming to develop comprehensive safety strategies for autonomous vehicles. It emphasizes hazard analysis, functional safety assessments, and compliance with global standards.

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

• Identify and evaluate safety risks linked to autonomous driving systems.
• Perform hazard analysis and risk assessments using established industry standards.
• Implement safety validation and verification methods for AV systems.
• Apply functional safety standards, including ISO 26262 and SOTIF.
• Create risk mitigation strategies to address AV safety issues.

This instructor-led, live training in Bangkok (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 live instructor-led training in Bangkok focuses on the design and development of automotive software using AUTOSAR Classic and Adaptive platforms. Participants will acquire practical skills in component configuration, ADAS software integration, and the application of safety best practices through the use of industry-standard tools.

This instructor-led, live training available in Bangkok (delivered online or on-site) is specifically designed for intermediate-level AI developers and computer vision engineers seeking to build reliable vision systems for autonomous driving contexts.

By the conclusion of this program, participants will be equipped to:

• Comprehend the essential theories of computer vision in the context of autonomous vehicles.
• Construct algorithms for object detection, lane identification, and semantic segmentation.
• Merge vision technologies with other autonomous vehicle components.
• Deploy deep learning strategies for sophisticated perception tasks.
• Measure the efficacy of computer vision models in practical, real-world conditions.

This live, instructor-led training session in Bangkok (available online or onsite) is tailored for intermediate-level automotive engineers and technicians looking to acquire hands-on skills in testing, simulating, and diagnosing ECUs using Vector’s ecosystem, including CANoe and CANape.

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

• Comprehend the function and impact of ECUs in automotive systems.
• Set up and configure Vector tools such as CANoe and CANape.
• Simulate and validate ECU communication over CAN and LIN networks.
• Process data and conduct ECU diagnostics.
• Formulate test cases and automate testing workflows.
• Calibrate and optimize ECUs through applied methods.

This instructor-led live training (online or onsite) in Bangkok is tailored for advanced-level robotics engineers and AI researchers seeking to implement advanced path planning algorithms to boost autonomous vehicle performance.

Following this training, participants will be able to:

• Comprehend the theoretical basis of sophisticated path planning algorithms.
• Apply algorithms like RRT*, A*, and D* for real-time navigation tasks.
• Optimize path planning processes for effective obstacle avoidance and dynamic environment adaptation.
• Fuse path planning algorithms with sensor inputs to enhance accuracy.
• Assess algorithm performance in real-world practical contexts.

This live, instructor-led training, offered in Bangkok either online or on-site, caters to intermediate-level automotive engineers and embedded systems developers aiming to master the theoretical dimensions of ECUs. The focus remains on Vector-based tools and methodologies that are central to automotive design and development.

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

• Grasp the architecture and functional roles of ECUs in modern vehicles.
• Examine the communication protocols employed in ECU development.
• Delve into Vector-based tools and their theoretical utility.
• Utilize model-based development principles for ECU design tasks.

This live, instructor-led training, available Bangkok (either online or onsite), is tailored for intermediate professionals aiming to acquire a thorough understanding of EV powertrain structures, battery chemistry, Battery Management Systems (BMS), and the determinants of energy efficiency in electric vehicles.

By the conclusion of this program, participants will have the capability to:

• Grasp the composition and operation of EV powertrains.
• Analyze distinct battery chemistries and their relevance to EV technology.
• Deploy battery management practices to boost performance and ensure safety.
• Appraise energy efficiency across different EV setups.

This instructor-led, live training in Bangkok (available online or onsite) is designed for advanced data scientists, AI specialists, and automotive AI developers looking 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 live, instructor-led training in Bangkok—delivered online or onsite—is designed for junior quality engineers aiming to utilize Quality Core Tools to uphold product quality in manufacturing settings.

Upon completion, participants will gain the ability to:

• Understand the significance of Quality Core Tools and their integration into quality frameworks.
• Master APQP processes to enhance product quality planning effectiveness.
• Identify product and process failure modes, evaluate their quality implications, and implement risk-reducing actions.
• Utilize statistical methods to oversee and manage manufacturing processes, ensuring both quality consistency and efficiency.

Targeted at beginners in quality control, this live, instructor-led session in Bangkok (online or onsite) provides a comprehensive introduction to the core principles of Statistical Process Control (SPC) and its application in practical scenarios.

By the end of the session, attendees will be able to:

• Comprehend the basic principles of Statistical Process Control (SPC).
• Apply fundamental SPC tools, such as control charts, histograms, Pareto charts, and scatter diagrams, to oversee process performance.
• Construct and interpret control charts for variable and attribute data to identify and analyze process variations.
• Determine and assess process capability indices.

The "Automotive SPICE (A-SPICE) - Introduction" workshop focuses on reviewing the Automotive SPICE process assessment model, discussing structure, classification, and interpretive guidelines. Participants gain competencies to understand the assessment process from the perspective of project managers and stakeholders. The course covers the significance of ASPICE in the market, compliance, different process groups, and ASPICE levels through examples of real-world implementations.

This live, instructor-led program in Bangkok (available online or onsite) is designed for engineers looking to protect connected vehicles from cyber threats.

Upon completion, participants will be equipped to:

• Integrate cybersecurity measures into automotive systems.
• Select the most appropriate technologies, tools, and methodologies.

This instructor-led, live training in Bangkok (delivered online or onsite) is primarily intended for engineers seeking to utilize Autosar for designing automotive components.

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

• Install and configure Autosar.
• Set up a workflow.
• Navigate smoothly in the Autosar environment.
• Work efficiently.

Tailored for intermediate embedded software developers and automotive engineers, this live instructor-led training—accessible online or onsite—focuses on leveraging the AUTOSAR Classic Platform. The goal is to equip professionals with the skills necessary to develop, integrate, and test standardized software components for electronic control units (ECUs).

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

Set up and configure AUTOSAR development tools, including DaVinci Developer, EB Tresos, or ETAS ISOLAR-A/B.

Comprehend the AUTOSAR layered architecture and the roles of Basic Software (BSW) modules.

Design and implement the AUTOSAR OS and the communication stack (COM stack).

Apply tools like CANoe for simulation, testing, and diagnostics in an AUTOSAR context.

This instructor-led, live training (online or onsite) is aimed at intermediate-level embedded software developers or automotive engineers who wish to understand and configure AUTOSAR OS (based on OSEK/VDX) and the COM Stack to enable reliable task scheduling and communication in automotive ECUs.

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

• Understand the AUTOSAR OS architecture and scheduling policies
• Implement and manage tasks, events, alarms, and counters
• Describe and configure the COM Stack layers, including PDUR and communication services
• Explain protocol stacks (CAN, LIN, FlexRay, Ethernet) and how AUTOSAR interfaces with them
• Configure OS and COM modules using industry tools (Vector DaVinci or ETAS ISOLAR)
• Simulate and validate task and communication flow in an AUTOSAR-based ECU