Machine Learning for Robotics Training Course

This instructor-led live training in Bulgaria (online or onsite) is designed for data scientists and software engineers who aim 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 monitoring. By leveraging advanced geodetic principles, real-time modeling, and high-accuracy drone mapping, professionals can achieve greater insight, precision, and efficiency in construction environments.

This instructor-led live training (available online or onsite) targets intermediate to advanced professionals seeking to implement sophisticated drone and photogrammetry workflows. Participants will learn to apply 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 suitable 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 assessment, deformation tracking, and compliance monitoring.

Course Format

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

Customization Options

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

This instructor-led, live training in Bulgaria (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools.

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

• Understand the basics of aerial robotics.
• Model and design UAVs and quadrotors.
• Learn about the basics of flight control and motion planning.
• Learn how to use different 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 onsite) targets intermediate developers and technical professionals seeking to design, program, and test unmanned aerial vehicles (UAVs) using ArduPilot.

Upon completing 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.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical practice sessions.
• 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 make arrangements.

This instructor-led, live training in Bulgaria (online or onsite) is designed for data scientists as well as less technical participants 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 session (available online or on-site) is designed for technical professionals with a background in machine learning who seek to optimize models for detecting complex patterns in big data utilizing AutoML frameworks.

This instructor-led live training in Bulgaria (online or onsite) is designed for data scientists and analysts seeking to automate, evaluate, and manage predictive models leveraging DataRobot's machine learning capabilities.

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

• Import datasets into DataRobot to analyze, assess, and perform quality checks on data.
• Develop and train models to pinpoint critical variables and achieve prediction goals.
• Interpret model outputs to generate actionable insights that support business decision-making.
• Monitor and oversee models to ensure optimal prediction performance is maintained.

This instructor-led, live training in Bulgaria (online or on-site) is designed for individuals who wish to understand the fundamentals 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 Bulgaria (online or onsite) is designed for participants at beginner to intermediate levels who wish to learn how to utilize drones and photogrammetry techniques for supervising infrastructure in construction projects.

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

• Gain a solid understanding of the fundamentals 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.
• Apply drone technology to enhance safety and operational efficiency on construction sites.

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

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

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

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

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level operators who wish to safely and effectively use the Evo Max 4T for professional applications and prepare for official certification.

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

• Understand the technical specifications and operation of the Evo Max 4T drone.
• Apply operational safety procedures in aerial activities.
• Comply with current AAC and local drone regulations.
• Implement best practices for efficient and safe drone operations.
• Prepare for certification/licensing through theoretical and practical training.

Format of the Course

• Interactive lecture and discussion.
• Hands-on practice with drone equipment and simulators.
• Practical exercises and real flight scenarios.

Course Customization Options

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

This hands-on course, "Practical Rapid Prototyping for Robotics with ROS 2 & Docker," is designed to assist developers in efficiently building, testing, and deploying robotic applications. Participants will acquire the skills to containerize robotics environments, integrate ROS 2 packages, and create modular robotic systems using Docker, ensuring both reproducibility and scalability. The curriculum emphasizes agility, version control, and collaborative practices ideal for early-stage development and innovation teams.

Delivered by an instructor, this live training (available online or onsite) targets beginner to intermediate-level participants aiming to accelerate their robotics development workflows using ROS 2 and Docker.

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

• Configure a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes in modular, reproducible setups.
• Utilize simulation tools to validate system behavior prior to hardware deployment.
• Collaborate effectively through containerized robotics projects.
• Implement continuous integration and deployment concepts within robotics pipelines.

Format of the Course

• Interactive lectures and demonstrations.
• Hands-on exercises involving ROS 2 and Docker environments.
• Mini-projects centered 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 Bulgaria (online or onsite) is tailored for data scientists and software engineers who aim to utilize Random Forest for building machine learning algorithms on large datasets.

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

• Set up the necessary development environment to start building machine learning models with Random forest.
• Understand the advantages of Random Forest and how to implement it to resolve classification and regression problems.
• Learn how to handle large datasets and interpret multiple decision trees in Random Forest.
• Evaluate and optimize machine learning model performance by tuning the hyperparameters.

In this instructor-led live training in Bulgaria, 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 Bulgaria (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.