Machine Learning for Robotics Training Course

This instructor-led, live training in Romania (available online or onsite) is designed for data scientists and software engineers who want 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 achieve deeper insights, greater accuracy, and enhanced productivity in construction environments.

This instructor-led live training (available online or 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 completing 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 for structural health monitoring, deformation analysis, 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.

Customization Options

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

This instructor-led, live training in Romania (online or onsite) is tailored for engineers and developers who aim 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 fundamental principles of aerial robotics.
• Model and design UAVs and quadrotors.
• Gain knowledge of flight control and motion planning fundamentals.
• Utilize various simulation tools for aerial robotics.

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

This instructor-led live training, available online or on-site, targets intermediate-level developers and technical professionals eager to design, program, and test unmanned aerial vehicles (UAVs) leveraging ArduPilot.

Upon completing this training, participants will be capable of:

• Establishing a comprehensive development environment for ArduPilot.
• Configuring firmware, middleware, and MAVLink APIs for effective UAV control.
• Utilizing SITL simulation to safely test and debug drone behaviors.
• Exting ArduPilot with ROS2 and integrating it with external tools or sensors.
• Developing autonomous flight logic and executing end-to-end UAV missions.

Course Format

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

Customization Options

• This training focuses on the open-source autopilot software, ArduPilot. For customized training requests, please contact us to arrange.

This instructor-led live training in Romania (online or onsite) is designed for data scientists and non-technical professionals who wish to use Auto-Keras to automate the process of selecting and optimizing machine learning models.

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

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

This instructor-led live training (available online or in-person) is designed for technical professionals with a background in machine learning who aim to optimize models for identifying complex patterns within big data by leveraging AutoML frameworks.

This instructor-led training, offered online or onsite, is designed for data scientists and analysts who want to automate, evaluate, and manage predictive models using DataRobot’s machine learning capabilities.

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

• Load datasets into DataRobot to analyze, assess, and verify data quality.
• Build and train models to identify critical variables and meet prediction objectives.
• Interpret models to derive valuable insights that aid in business decision-making.
• Monitor and manage models to sustain optimized prediction performance.

This instructor-led, live training in Romania (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 Romania (online or onsite) is designed for beginner to intermediate-level participants 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 Romania (online or onsite) is designed for agriculture technicians, researchers, and engineers who want to utilize aerial robotics to optimize data collection and analysis in agriculture.

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

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

The Evo Max 4T is a professional-grade drone engineered for advanced aerial missions, inspections, and data acquisition.

This instructor-led live training session, available online or onsite, is designed for operators ranging from beginner to intermediate skill levels who aim 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 capable of:

• Grasping the technical specifications and operational mechanics of the Evo Max 4T drone.
• Implementing safety protocols during aerial operations.
• Adhering to current AAC regulations and local drone laws.
• Executing best practices for efficient and secure drone deployment.
• Getting ready for certification and licensing through a combination of theoretical and practical instruction.

Course Format

• Interactive lectures and group discussions.
• Hands-on sessions with drone hardware and simulation software.
• Practical exercises and real-world flight scenarios.

Customization Options

• For customized training on this course, please contact us to make arrangements.

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, offered in Romania (online or onsite), is tailored for data scientists and software engineers who aim to utilize Random Forest to develop machine learning algorithms for large datasets.

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

• Set up the necessary development environment to commence building machine learning models with Random Forest.
• Comprehend the advantages of Random Forest and its implementation for resolving classification and regression issues.
• Learn techniques for handling large datasets and interpreting the multiple decision trees inherent in Random Forest.
• Evaluate and optimize the performance of machine learning models through hyperparameter tuning.

In this instructor-led live training in Romania, participants will learn how to begin using 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 Romania (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.