Control Plan Implementation Training Course

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

Upon completing this training, participants will be able to:

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

This instructor-led, live training in Serbia (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.

Facilitated by an expert, this live training in Serbia (online or in person) is designed for advanced robotics engineers and AI specialists who aim to deploy complex path planning algorithms to improve the functionality of autonomous vehicles.

Upon completion of this program, attendees will be capable of:

• Gaining a deep understanding of the theoretical basis behind advanced path planning algorithms.
• Deploying algorithms like RRT*, A*, and D* for real-time navigation tasks.
• Refining path planning processes to manage obstacle avoidance and dynamic environments effectively.
• Combining path planning algorithms with sensor inputs to boost precision.
• Assessing the performance of different algorithms within real-world contexts.

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

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

• Comprehend the fundamentals of AI and deep learning within 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 Serbia (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 Serbia (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 Serbia (online or onsite) is designed for beginners in the field who want to investigate the ethical dilemmas and legal structures surrounding autonomous vehicles.

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

• Grasp the ethical implications of AI-driven decision-making in autonomous vehicles.
• Analyze international legal frameworks and policies governing self-driving cars.
• Examine liability and accountability in cases of autonomous vehicle accidents.
• Assess 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 Serbia (online or onsite) is aimed at 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 Serbia (online or onsite) is tailored for intermediate-level professionals seeking to develop practical skills in evaluating EV battery lifecycles, implementing recycling technologies, and addressing sustainability challenges in the automotive industry.

Upon completing this training, participants will be capable of:

• Evaluating the lifecycle of EV batteries and assessing their environmental impact.
• Recognizing appropriate recycling methods for different battery chemistries.
• Applying sustainable practices for battery reuse and disposal.
• Developing policies that support circular economy initiatives.

This instructor-led, live training in Serbia (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 Serbia (online or onsite) is designed for intermediate-level automotive professionals seeking to develop practical skills in diagnosing, maintaining, and troubleshooting electric vehicle systems, including motors, batteries, and onboard software.

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

• Carry out routine maintenance on electric vehicle components.
• Diagnose common problems with EV powertrains and battery systems.
• Utilize diagnostic tools and software to identify faults.
• Apply safe practices when working with high-voltage systems.

This instructor-led, live training in Serbia (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 Serbia (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 Serbia (online or onsite) is designed for intermediate-level engineers, automotive professionals, and IoT specialists who want 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 Serbia (online or onsite) is designed for intermediate-level network engineers and automotive IoT developers who wish to understand and implement V2X communication technologies for autonomous vehicles.

Upon completing this training, participants will be equipped to:

• Grasp the core concepts of V2X communication.
• Evaluate V2V, V2I, V2P, and V2N communication models.
• Implement V2X protocols, including DSRC and C-V2X.
• Create simulations for connected vehicle environments.
• Tackle cybersecurity and privacy issues within V2X networks.