Machine Learning for Robotics Training Course

This instructor-led, live training in Turkey (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 achieving high-precision infrastructure supervision. By integrating advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can gain deeper insights, enhanced accuracy, and improved productivity within construction environments.

This instructor-led live training (available online or onsite) targets intermediate to advanced professionals seeking to apply sophisticated drone and photogrammetry workflows. The course covers essential techniques such as geodetic controls and high-precision mapping, tailored for 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 suited to complex terrain and infrastructure geometry.
• Analyze photogrammetry data using GIS software to track structural health, deformation, and 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 customized training for this course, please contact us to arrange.

This instructor-led live training in Turkey (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 completion of 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 basics and motion planning.
• Utilize various simulation tools for aerial robotics.

ArduPilot is an open-source autopilot software suite designed for drones, rovers, and other unmanned vehicles. It delivers 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 on-site) targets intermediate-level developers and technical professionals who aim to design, program, and test unmanned aerial vehicles (UAVs) using ArduPilot.

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

• Establish a comprehensive 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 functionality 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.
• Numerous exercises and practical activities.
• Hands-on implementation within 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 it.

This instructor-led live training in Turkey (online or onsite) targets data scientists and less technical individuals who wish to utilize 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 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 Turkey (online or onsite) is tailored for data scientists and data analysts seeking to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

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

• Import datasets into DataRobot to analyze, assess, and verify data quality.
• Construct and train models to identify key variables and achieve prediction goals.
• Interpret models to derive valuable insights that support business decision-making.
• Monitor and manage models to ensure optimal prediction performance.

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

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 requirements.
• Assess delivery options and regulatory frameworks to ensure compliant drone operations.
• Comprehend the risks and ethical considerations associated with drone technology.
• Explore future UAV applications and capabilities, including integration with other technologies.

This instructor-led, live training in Turkey (available online or onsite) is intended for beginner to intermediate-level participants seeking to learn how to utilize drones and photogrammetry techniques for infrastructure supervision in construction projects.

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

• Understand the fundamental principles of drones and photogrammetry.
• Develop and execute drone flight plans for construction sites.
• Perform photogrammetry tracking and produce detailed maps and 3D models.
• Apply photogrammetry data for infrastructure supervision and issue detection.
• Implement drone technology to boost construction site safety and efficiency.

This instructor-led, live training in Turkey (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture.

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

• Understand drone technology and regulations related to it.
• Deploy drones to acquire, process, and analyze crop data to improve 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 Turkey (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 required development environment to initiate the creation of machine learning models with Random Forest.
• Comprehend the advantages of Random Forest and its implementation for solving classification and regression issues.
• Gain proficiency in handling large datasets and interpreting the multiple decision trees inherent in Random Forest.
• Evaluate and optimize machine learning model performance through hyperparameter tuning.

During this instructor-led live training in Turkey, 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 Turkey (online or onsite) is designed for robotics developers with beginner to intermediate skills, and potentially advanced-level practitioners, who wish to learn how to program mobile robots using ROS and 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.