Machine Learning for Robotics Training Course

This live, instructor-led training in Italy (offered online or on-site) is designed for data scientists and software engineers who aim to use AdaBoost to develop boosting algorithms for machine learning projects using 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, improved accuracy, and enhanced productivity within construction environments.

This instructor-led live training (available online or onsite) targets intermediate to advanced professionals seeking to master advanced drone and photogrammetry workflows, including geodetic controls and high-precision mapping techniques, for 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 to monitor structural health, deformation, and regulatory compliance.

Course Format

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

Course Customization Options

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

This instructor-led live training in Italy (online or onsite) is intended for engineers and developers seeking to design, develop, and test aerial vehicles through an exploration of aerial robotics concepts and tools.

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

• Understand the fundamentals of aerial robotics.
• Model and design UAVs and quadrotors.
• Learn the core principles of flight control and motion planning.
• Acquire skills in using 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, including autonomous navigation, real-time communication with ground stations, and integration with robotics middleware such as ROS2.

This instructor-led live training (available online or onsite) is designed for intermediate-level developers and technical professionals aiming 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.

Course Format

• 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 make arrangements.

This instructor-led live training in Italy (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 guided, live training session (available online or in-person) is designed for technical professionals with a machine learning foundation who aim to enhance model performance for identifying complex patterns within big data through AutoML frameworks.

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

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

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

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

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

• Acquire foundational knowledge of UAVs and drones.
• Understand drone classifications and applications to identify suitable UAVs for specific needs.
• Assess delivery options and regulatory frameworks to ensure convenient and compliant drone operations.
• Comprehend the risks and ethical considerations associated with drone technology.
• Explore future applications and capabilities of UAVs, including their integration with other technologies.

This instructor-led, live training in Italy (online or onsite) is tailored for beginner to intermediate participants seeking to master the use of drones and photogrammetry techniques for supervising infrastructure in construction projects.

By the end of this course, 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 Italy (online or onsite) is designed for agriculture technicians, researchers, and engineers who wish to apply aerial robotics to optimize data collection and analysis for agriculture.

Upon completing this training, participants will be able to:

• Understand drone technology and its associated regulations.
• Operate 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.

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 Italy (online or onsite) targets data scientists and software engineers looking to utilize Random Forest for building machine learning algorithms on large datasets.

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

• Configure 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 conducted in Italy, 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 Italy (online or onsite) targets beginner to intermediate, and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.

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

• Configure a development environment comprising ROS, Python, and a mobile robot platform.
• Create and execute ROS nodes, topics, services, and actions using Python.
• Utilize ROS tools and utilities to monitor and debug ROS applications.
• Apply ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Perform troubleshooting and debugging of ROS applications.