Machine Learning for Robotics Training Course

This instructor-led, live training in South Korea (online or onsite) is aimed at data scientists and software engineers who wish to use AdaBoost to build boosting algorithms for machine learning with Python.

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

• Set up the necessary development environment to start building machine learning models with AdaBoost.
• Understand the ensemble learning approach and how to implement adaptive boosting.
• Learn how to build AdaBoost models to boost 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 gain deeper insights, enhance accuracy, and boost productivity in construction environments.

This instructor-led, live training, available both online and onsite, is designed for intermediate to advanced professionals seeking to apply sophisticated 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:

• Implement 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 to monitor structural health, detect deformation, and track compliance.

Format of the Course

• 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 session for this course, please contact us to arrange.

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

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 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 seamless integration with robotics middleware like ROS2.

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

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

• Set up a complete development environment for ArduPilot.
• Configure firmware, middleware, and MAVLink APIs for effective 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.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Course 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 South Korea (online or onsite) is aimed at data scientists as well as less technical persons who wish to use Auto-Keras to automate the process of selecting and optimizing a machine learning model.

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

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

This instructor-led, live training (online or onsite) is aimed at technical participants with a background in machine learning who wish to optimize models for detecting complex patterns in big data using AutoML frameworks.

This instructor-led live training in South Korea (online or onsite) is designed for data scientists and 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 data.
• Build and train models to identify key variables and achieve prediction goals.
• Interpret models to derive actionable insights that support business decision-making.
• Monitor and manage models to ensure optimal prediction performance.

This instructor-led, live training in South Korea (online or onsite) is designed for individuals seeking to understand the fundamentals of Unmanned Aerial Systems (UAS) and apply drone technology to planning, operations, management, and analysis across various industries.

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

• Acquire fundamental knowledge of UAVs and drones.
• Learn about drone classifications and applications to identify suitable UAVs for specific needs.
• Evaluate delivery options and regulatory frameworks to ensure smooth drone operations.
• Understand the risks and ethical considerations associated with drone technology.
• Explore future uses and capabilities of UAVs, including integration with other technologies.

This instructor-led live training in South Korea (online or onsite) is designed for participants at the beginner to intermediate level who wish to learn how to utilize drones and photogrammetry techniques for infrastructure supervision in construction projects.

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

• Understand the fundamentals of drones and photogrammetry.
• Develop and execute drone flight plans for construction sites.
• Perform photogrammetry tracking and create detailed maps and 3D models.
• Use photogrammetry data for infrastructure supervision and issue detection.
• Apply drone technology to improve construction site safety and efficiency.

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

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

• Grasp drone technology and the regulations surrounding it.
• Deploy drones to acquire, process, and analyze crop data to enhance farming and agricultural methods.

The Evo Max 4T is a professional-grade drone engineered for advanced aerial operations, detailed inspections, and comprehensive data collection.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate-level operators seeking to utilize the Evo Max 4T safely and effectively for professional purposes while preparing for official certification.

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

• Comprehend the technical specifications and operational mechanisms of the Evo Max 4T drone.
• Implement operational safety protocols during aerial activities.
• Ensure compliance with current AAC and local drone regulations.
• Adopt best practices for efficient and secure drone operations.
• Prepare for certification and licensing through a combination of theoretical knowledge and practical skills.

Course Format

• Interactive lectures and discussions.
• Hands-on training with drone equipment and flight simulators.
• Practical exercises and real-world flight scenarios.

Course Customization Options

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

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 in South Korea (online or onsite) is designed for data scientists and software engineers who wish to employ Random Forest for developing machine learning algorithms for large datasets.

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

• Set up the required development environment to initiate the construction of machine learning models with Random Forest.
• Understand the advantages of Random Forest and how to apply it to solve classification and regression problems.
• Learn techniques for handling large datasets and interpreting the ensemble of decision trees in Random Forest.
• Evaluate and optimize the performance of machine learning models by tuning hyperparameters.

In this instructor-led live training in South Korea, participants will learn how to start using ROS for their robotics projects through the use of 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 South Korea (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.
• Troubleshooting and debugging ROS applications.