Machine Learning for Robotics Training Course

This instructor-led, live training in Serbia (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, improve accuracy, and enhance productivity in construction environments.

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

Upon completing this training, participants will be capable of:

• Implementing advanced photogrammetric methods, including RTK/PPK workflows and ground control calibration.
• Integrating geodetic reference systems and projections for large-scale infrastructure sites.
• Designing precision flight missions customized to complex terrain and infrastructure geometry.
• Analyzing photogrammetry data using GIS software for structural health assessment, deformation monitoring, 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 arrange details.

This instructor-led, live training in Serbia (online or onsite) is designed for engineers and developers who want 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.
• 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) targets intermediate developers and technical professionals eager to design, program, and test unmanned aerial vehicles (UAVs) utilizing ArduPilot.

Upon completing this training, participants will be capable of:

• Establishing a comprehensive development environment for ArduPilot.
• Configuring firmware, middleware, and MAVLink APIs to control UAVs.
• Utilizing SITL simulation to safely test and debug drone behavior.
• Exting ArduPilot functionality 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.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customization Options

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

This instructor-led live training in Serbia (online or onsite) is designed for data scientists and less technical individuals who wish to utilize Auto-Keras to automate the selection and optimization of machine learning models.

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 in Serbia (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.

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

• Load datasets in DataRobot to analyze, assess, and quality check data.
• Build and train models to identify important variables and meet prediction targets.
• Interpret models to create valuable insights that are useful in making business decisions.
• Monitor and manage models to maintain an optimized prediction performance.

This instructor-led, live training in Serbia (online or onsite) is designed for individuals who wish 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 Serbia (online or onsite) is designed for participants with beginner to intermediate knowledge who want to learn how to apply drone and photogrammetry techniques for infrastructure supervision in construction projects.

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

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

This instructor-led, live training in Serbia (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.

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

• Comprehend drone technology and the related regulations.
• Deploy drones to acquire, process, and analyze crop data to improve farming and agricultural techniques.

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

This instructor-led live training, available online or onsite, is designed for beginner to intermediate operators seeking to master the safe and effective use of the Evo Max 4T for professional applications while preparing for official certification.

Upon completing this training, participants will be equipped to:

• Comprehend the technical specifications and operational mechanics of the Evo Max 4T.
• Implement operational safety protocols during aerial activities.
• Adhere to current AAC guidelines and local drone regulations.
• Apply industry 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 practice using drone hardware and simulators.
• Practical exercises involving real-flight scenarios.

Customization Options

• For tailored training solutions, please reach out to us to arrange a customized course.

This instructor-led, live training session (available online or onsite) is designed for developers aiming to utilize Google’s ML Kit to construct machine learning models optimized for mobile device processing.

Upon completing this training, participants will be able to:

• Establish the necessary development environment to commence the creation of machine learning features for mobile applications.
• Integrate new machine learning capabilities into Android and iOS apps using the ML Kit APIs. 
• Refine and optimize existing applications by leveraging the ML Kit SDK for on-device processing and deployment.

Practical Rapid Prototyping for Robotics with ROS 2 and Docker is an experiential course crafted to assist developers in efficiently building, testing, and deploying robotic applications. Participants will acquire skills in containerizing robotics environments, integrating ROS 2 packages, and prototyping modular robotic systems using Docker to ensure reproducibility and scalability. The curriculum highlights agility, version control, and collaborative practices tailored for early-stage development and innovation teams.

This live training session, led by an instructor and available either online or onsite, targets beginner to intermediate-level participants aiming to accelerate their robotics development workflows through the use of ROS 2 and Docker.

Upon completion of this training, participants will be capable of:

• Establishing a ROS 2 development environment within Docker containers.
• Developing and testing robotic prototypes within modular, reproducible setups.
• Utilizing simulation tools to validate system behavior prior to hardware deployment.
• Collaborating effectively through containerized robotics projects.
• Implementing continuous integration and deployment concepts within robotics pipelines.

Course Format

• Interactive lectures and demonstrations.
• Practical exercises involving ROS 2 and Docker environments.
• Mini-projects centered on real-world robotic applications.

Course Customization Options

• For a customized training session for this course, please reach out to us to arrange.

This instructor-led, live training in Serbia (online or onsite) is designed for data scientists and software engineers who wish to utilize Random Forest to build machine learning algorithms for 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 Serbia, 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 Serbia (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.