Training courses
The training courses listed in this section of the website are the exclusive property of their respective owners, as detailed in each course page. Please note that the pages provide links to third-party websites, with their own privacy policy and terms and conditions.
This role involves designing, implementing, and managing loT devices, sensors, and systems to enhance logistics operations by enabling seamless connectivity and data flow. It integrates machine learning models into IoT systems for real-time analytics and decision-making while ensuring secure communication and scalability using cloud platforms and robust cybersecurity measures
By default, this panel is concealed and appears when the user clicks on the section title. Input relevant information about its title using paragraphs or bullet points. Accordions can enhance the user experience when utilized effectively. They allow users to choose what they want to read and disregard the rest. Accordions are often utilized for frequently asked questions (FAQs).
This role involves analyzing large datasets to identify patterns and insights that inform route optimization and cargo monitoring strategies. It includes developing predictive models, deploying algorithms for sensor data analysis, and implementing computer vision capabilities to enhance logistics efficiency and decision-making processes.
This role focuses on optimizing services within the logistics value chain using loT sensing, 5G networks, and edge computing technologies. It involves designing efficient edge computing architectures, enabling real-time analytics, and ensuring seamless integration of network protocols and computing platforms to support data-driven operations.
This role involves gathering and structuring data from various sources, such as sensors, to enable efficient processing and analysis. The specialist scrutinizes the data to derive actionable insights, develops predictive models for equipment maintenance, and creates clear visualizations to communicate findings effectively.
This role focuses on designing, deploying, and maintaining edge computing solutions for real-time data processing and analytics closer to data sources, particularly in environments involving IoT and 5G networks. The specialist ensures seamless device integration with cloud platforms, low-latency operations, secure data transmission, and effective monitoring and control of connected systems.
This role involves designing and deploying 5G network architectures to support high-speed data transmission for real-time video streaming from UAVs and cameras while maintaining robust network security. Additionally, it includes managing and maintaining the technical infrastructure for intruder detection systems, ensuring smooth integration and communication between loT devices, cloud platforms, and security applications. The specialist conducts rigorous network testing, monitors performance, and proactively addresses anomalies to ensure seamless operations.
This role focuses on designing, developing, and maintaining mobile applications for state-of-the-art intruder detection systems. Responsibilities include integrating IoT devices, building real-time monitoring and notification features, and ensuring the application’s security, scalability, and user-friendliness. The developer collaborates closely with IoT and cloud teams to create intuitive interfaces and reliable apps for high-value infrastructure security.
This role combines expertise in loT ecosystems and Al to design, implement, and maintain advanced systems for monitoring and enhancing operator performance in industrial environments. Responsibilities include configuring wearable sensors and IoT gateways, integrating them into secure 5G networks, deploying Al models for real-time anomaly detection, and optimizing workflows using predictive insights to ensure adaptive manufacturing processes and efficiency.
This role focuses on designing, deploying, and maintaining edge computing solutions integrated with Al technologies to enable real-time data processing and predictive analytics. Responsibilities include connecting edge devices with cloud platforms, developing scalable systems to handle high-velocity data streams, and deploying predictive models to enhance operator performance, material quality, and process efficiency.
This role focuses on deploying, configuring, and maintaining private 5G networks to support high-speed, low-latency communication in industrial environments. The engineer ensures seamless integration of IoT devices, wearable sensors, and cobots into robust network infrastructures for real-time data flow. Additionally, they are responsible for optimizing network performance, implementing security protocols to safeguard communications, and troubleshooting connectivity issues to maintain adaptive workflows.
This role combines expertise in Manufacturing Execution Systems (MES) and IoT/embedded systems to enable real-time data processing and adaptive production workflows. The specialist designs and implements software for IoT devices and wearable sensors, ensuring secure communication and seamless integration with MES platforms. They oversee the real-time capture and analysis of operator performance and stress metrics, enabling dynamic task allocation and production adjustments to enhance efficiency and safety.
This role combines expertise in UAV/UGV systems and Al to ensure seamless collaboration between unmanned aerial and ground vehicles. The engineer is responsible for integrating hardware, sensors, and Al models for real-time operations, calibrating sensors to optimize performance in varying conditions, and troubleshooting field issues to maintain mission continuity. They also implement advanced Al models for human detection and GPS coordination, enabling enhanced operational efficiency for applications such as security, surveillance, and search-and-rescue missions.
This role focuses on planning and overseeing UAV and UGV missions while managing the data workflows that drive operational success. The specialist designs detailed mission workflows, allocates resources, and adjusts mission parameters dynamically based on live feedback. They oversee data collection protocols, storage solutions, and analysis techniques to ensure actionable insights are derived from mission data, while also mitigating risks and implementing contingency plans to address challenges such as equipment failures or environmental disruptions.
This role involves coordinating and optimizing the operation of drone swarms for dynamic missions such as search and rescue. The specialist designs synchronized flight paths, configures inter-drone communication protocols, and deploys Al models on edge devices to enable real-time decision-making and task reallocation. They monitor telemetry data, adapt flight paths based on environmental feedback, and troubleshoot operational challenges like signal interference, hardware malfunctions, or collisions to ensure mission success.
This role focuses on ensuring the mission readiness and optimal performance of drone fleets by conducting pre-mission checks, diagnosing hardware issues, and performing necessary repairs or upgrades. The engineer also maintains detailed maintenance logs and integrates edge computing solutions to process real-time mission data, ensuring drones operate efficiently in resource-constrained environments.