Automotive Grade Linux (AGL) Training Course

This instructor-led, live training in Sweden (online or onsite) is designed for advanced professionals seeking comprehensive knowledge of autonomous EV systems, connectivity features, and the cybersecurity challenges inherent in connected and autonomous vehicles.

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

• Deploy autonomous driving algorithms and control systems.
• Integrate V2X communication for connected vehicle networks.
• Mitigate cybersecurity risks in autonomous EVs.
• Develop real-time processing solutions for autonomous navigation.

This instructor-led, live training in Sweden (online or onsite) is aimed at advanced-level automotive professionals who wish to develop expertise in designing, developing, and optimizing electric vehicles, focusing on next-generation technologies and sustainable mobility solutions.

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

• Design efficient and aerodynamic EV architectures.
• Integrate energy-optimized powertrains and battery systems.
• Apply innovative design concepts for enhanced performance.
• Develop prototypes using advanced simulation tools.

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

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

• Grasp the fundamentals of AI and deep learning as applied to autonomous vehicles.
• Apply computer vision methods for real-time object detection and lane keeping.
• Employ reinforcement learning for decision-making within self-driving systems.
• Incorporate sensor fusion methods to enhance perception and navigation.
• Construct deep learning models to anticipate and analyse driving scenarios.

This instructor-led, live training in Sweden (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 Sweden (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 Sweden (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 Sweden (available online or onsite) is designed for 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 Sweden (online or onsite) is aimed at intermediate-level professionals who wish to develop practical skills in evaluating EV battery lifecycle, implementing recycling technologies, and addressing sustainability challenges in the automotive industry.

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

• Analyze the lifecycle of EV batteries and their environmental impact.
• Identify recycling techniques for various battery chemistries.
• Implement sustainable practices for battery reuse and disposal.
• Formulate policies to support circular economy initiatives.

This instructor-led, live training in Sweden (online or onsite) targets intermediate-level professionals seeking to build expertise in designing, managing, and integrating EV charging infrastructure with smart grids to advance sustainable mobility and energy management.

Upon completion of this training, participants will be capable of:

• Designing efficient and scalable EV charging stations.
• Evaluating the grid impact of widespread EV adoption.
• Integrating renewable energy sources into EV charging systems.
• Implementing smart charging strategies to balance grid load.

This instructor-led, live training in Sweden (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 Sweden (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 Sweden (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:

• Grasp the core principles and challenges of multi-sensor data fusion.
• Apply sensor fusion algorithms to achieve real-time autonomous navigation.
• Combine data from LiDAR, cameras, and RADAR to improve perception capabilities.
• Assess and evaluate fusion system performance under diverse conditions.
• Create practical solutions for reducing sensor noise and aligning data.

This instructor-led, live training in Sweden (online or onsite) is designed for intermediate-level engineers, automotive professionals, and IoT specialists aiming to grasp the critical role of sensors in self-driving cars, with a focus on LiDAR, radar, cameras, and sensor fusion techniques.

Upon completing this training, participants will be able to:

• Identify and understand the various types of sensors employed in autonomous vehicles.
• Analyze sensor data to support real-time vehicle perception and decision-making processes.
• Apply sensor fusion techniques to enhance vehicle accuracy and safety.
• Optimize sensor placement and calibration to improve overall autonomous driving performance.

This instructor-led, live training in Sweden (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.