Machine Learning for Robotics Training Course

This instructor-led live training in Slovakia (online or onsite) targets data scientists and software engineers who wish to use AdaBoost for building boosting algorithms in machine learning with Python.

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

• Set up the required development environment to start building machine learning models with AdaBoost.
• Understand the ensemble learning approach and how to implement adaptive boosting.
• Learn how to construct AdaBoost models to enhance machine learning algorithms in Python.
• Use hyperparameter tuning to increase the accuracy and performance of AdaBoost models.

Drones and photogrammetry have become indispensable tools for high-precision infrastructure supervision. By integrating advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can achieve enhanced insight, precision, and productivity in construction environments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced professionals who wish to apply advanced drone and photogrammetry workflows, including geodetic controls and high-precision mapping techniques, to complex infrastructure projects.

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

• Apply advanced photogrammetric methods, including RTK/PPK workflows and ground control calibration.
• Integrate geodetic reference systems and projections for large-scale infrastructure sites.
• Design precision flight missions tailored to complex terrain and infrastructure geometry.
• Analyze photogrammetry data using GIS software for structural health, deformation, and compliance tracking.

Course Format

• Interactive lectures and discussions.
• Advanced exercises and real-world case studies.
• Hands-on implementation with drone data and modeling tools.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Slovakia (online or onsite) is designed for engineers and developers who wish to design, develop, and test aerial vehicles by exploring various concepts and tools in aerial robotics.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of aerial robotics.
• Model and design UAVs and quadrotors.
• Gain knowledge of flight control and motion planning basics.
• Learn how to utilize various simulation tools for aerial robotics.

ArduPilot is an open-source autopilot software suite designed for drones, rovers, and other unmanned vehicles. It offers advanced capabilities such as autonomous navigation, real-time communication with ground stations, and integration with robotics middleware like ROS2.

This instructor-led live training (available online or on-site) is targeted at intermediate-level developers and technical professionals who want to design, program, and test unmanned aerial vehicles (UAVs) using ArduPilot.

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

• Establish a complete development environment for ArduPilot.
• Configure firmware, middleware, and MAVLink APIs for UAV control.
• Utilize SITL simulation to safely test and debug drone behavior.
• Extend ArduPilot with ROS2 and integrate it with external tools or sensors.
• Develop autonomous flight logic and execute end-to-end UAV missions.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Customization Options

• This training is based on the open-source autopilot software ArduPilot. To request customized training for this course, please contact us to arrange.

This instructor-led live training in Slovakia (online or on-site) is designed for data scientists and less technical individuals who wish to utilize Auto-Keras to automate the process of selecting and optimizing machine learning models.

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

• Automate the training of highly efficient machine learning models.
• Automatically search for the best parameters for deep learning models.
• Build highly accurate machine learning models.
• Apply machine learning power to solve real-world business problems.

This instructor-led, live training in Slovakia (online or onsite) is tailored for data scientists and data analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

Upon completing this training, participants will be able to:

• Load datasets into DataRobot to analyze, assess, and perform quality checks on their data.
• Build and train models to identify key variables and achieve prediction goals.
• Interpret models to generate valuable insights that support business decision-making.
• Monitor and manage models to ensure optimized prediction performance.

This instructor-led, live training in Slovakia (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries.

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

• Gain fundamental knowledge of UAVs and drones.
• Learn about drone classifications and uses to find suitable UAVs that address different needs.
• Evaluate delivery options and regulations for the convenient operation of drones.
• Understand the risks and ethics of using drone technology.
• Explore future uses and capabilities of UAVs including integration with other technologies.

This instructor-led, live training in Slovakia (online or onsite) is designed for beginner to intermediate participants who want to learn how to use drones and photogrammetry techniques for infrastructure supervision in construction projects.

Upon completing this training, participants will be able to:

• Grasp the core concepts of drones and photogrammetry.
• Create and execute drone flight plans tailored for construction sites.
• Conduct photogrammetry tracking to generate detailed maps and 3D models.
• Leverage photogrammetry data for infrastructure supervision and identifying potential issues.
• Utilize drone technology to enhance safety and efficiency on construction sites.

This instructor-led live training in Slovakia (online or onsite) is designed for agriculture technicians, researchers, and engineers who wish to apply aerial robotics to optimize data collection and analysis for agricultural purposes.

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

• Understand drone technology and its related regulations.
• Deploy drones to acquire, process, and analyze crop data to improve farming and agricultural methods.

The Evo Max 4T is a professional-grade unmanned aerial vehicle engineered for complex aerial missions, detailed inspections, and comprehensive data acquisition.

This instructor-led training session (available online or in-person) is designed for beginner to intermediate operators aiming to utilize the Evo Max 4T safely and efficiently for professional tasks while preparing for official certification.

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

• Grasp the technical specifications and operational mechanics of the Evo Max 4T.
• Execute safety protocols during aerial operations.
• Adhere to current AAC directives and local drone legislation.
• Apply industry best practices for secure and efficient drone management.
• Ready themselves for certification through a blend of theoretical study and practical application.

Training Format

• Interactive presentations and group discussions.
• Practical handling of drone hardware and flight simulators.
• Real-world flight simulations and exercise scenarios.

Customization Available

• For tailored training solutions, please reach out to us to discuss your specific needs.

This instructor-led live training, offered online or on-site, is designed for developers who want to use Google’s ML Kit to build machine learning models optimized for mobile device processing.

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

• Set up the required development environment to start creating machine learning features for mobile applications.
• Integrate new machine learning technologies into Android and iOS apps via the ML Kit APIs.
• Enhance and optimize existing applications by leveraging the ML Kit SDK for on-device processing and deployment.

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a hands-on course designed to help developers build, test, and deploy robotic applications efficiently. Participants will learn how to containerize robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker for reproducibility and scalability. The course emphasizes agility, version control, and collaboration practices suitable for early-stage development and innovation teams.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to accelerate robotics development workflows using ROS 2 and Docker.

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

• Set up a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes in modular, reproducible setups.
• Use simulation tools to validate system behavior before hardware deployment.
• Collaborate effectively using containerized robotics projects.
• Apply continuous integration and deployment concepts in robotics pipelines.

Format of the Course

• Interactive lectures and demonstrations.
• Hands-on exercises with ROS 2 and Docker environments.
• Mini-projects focused on real-world robotic applications.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training session Slovakia (online or onsite) is intended for data scientists and software engineers who aim to use Random Forest to develop machine learning algorithms for large-scale datasets.

By the conclusion of this training, participants will be capable of:

• Establishing the necessary development environment to initiate the creation of machine learning models with Random Forest.
• Comprehending the advantages of Random Forest and implementing it to address classification and regression issues.
• Learning how to process large datasets and interpret the multiple decision trees utilized in Random Forest.
• Evaluating and optimizing the performance of machine learning models by tuning hyperparameters.

During this instructor-led live training conducted in Slovakia, participants will learn how to initiate the use of ROS for their robotics projects by utilizing robotics visualization and simulation tools.

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

• Understand the basics of ROS.
• Learn how to create a basic robotics project using ROS.
• Learn how to use different tools for robotics including simulation and visualization tools.

This instructor-led, live training in Slovakia (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.

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

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshoot and debug ROS applications.