Machine Learning for Robotics Training Course

This instructor-led, live training (online or onsite) is designed for data scientists and software engineers who wish to utilize AdaBoost to develop boosting algorithms for machine learning with Python. By the end of this training, participants will be able to: - Set up the required development environment to begin building machine learning models with AdaBoost. - Understand the ensemble learning methodology and how to implement adaptive boosting techniques. - Learn how to construct AdaBoost models to enhance machine learning algorithms in Python. - Utilize hyperparameter tuning to improve the accuracy and performance of AdaBoost models, ensuring they meet the standards required for government applications.

Drones and photogrammetry have become essential tools in high-precision infrastructure supervision. By integrating advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can achieve greater insight, accuracy, and productivity in construction environments. This instructor-led, live training (online or onsite) is designed for intermediate to advanced-level professionals who wish to apply advanced drone and photogrammetry workflows, including geodetic controls and high-precision mapping techniques, to complex infrastructure projects for government and private sector applications. By the end of this training, participants will be able to: - Apply advanced photogrammetric methods, such as 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 with GIS software to track structural health, deformation, and compliance. **Format of the Course** - Interactive lecture and discussion. - Advanced exercises and real-world case studies. - Hands-on implementation using drone data and modeling tools. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This instructor-led, live training (available 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. By the end of this training, participants will be able to: - Understand the fundamentals of aerial robotics. - Model and design unmanned aerial vehicles (UAVs) and quadrotors. - Gain knowledge in flight control and motion planning basics. - Utilize different simulation tools for aerial robotics applications, enhancing capabilities for government and public sector projects.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers and technical professionals who wish to design, program, and test unmanned aerial vehicles (UAVs) using ArduPilot for government applications.

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

• Set up a comprehensive development environment for ArduPilot.
• Configure firmware, middleware, and MAVLink APIs to control UAVs.
• 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.
• Extensive exercises and 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 a customized training for government use, please contact us to arrange.

This instructor-led, live training in US (online or onsite) is aimed at data scientists and less technical individuals who wish to utilize Auto-Keras to automate the process of selecting and optimizing a machine learning model for government applications. 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. - Apply machine learning solutions to address real-world business challenges in a public sector context.

This instructor-led, live training (online or onsite) is aimed at data scientists and data analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities for government applications. By the end of this training, participants will be able to: - Load datasets in DataRobin to analyze, assess, and quality check data. - Build and train models to identify key variables and meet prediction targets. - Interpret models to derive actionable insights that support informed decision-making. - Monitor and manage models to ensure ongoing optimization and performance.

This instructor-led, live training in [location] (online or onsite) is aimed at individuals who wish to understand the basics of unmanned aircraft systems (UAS) and apply drone technology for government planning, operations, management, and analysis across various sectors. By the end of this training, participants will be able to: - Acquire fundamental knowledge of unmanned aerial vehicles (UAVs) and drones. - Learn about different drone classifications and uses to select appropriate UAVs that meet specific needs. - Evaluate delivery options and regulatory requirements for the efficient operation of drones. - Understand the risks and ethical considerations associated with using drone technology. - Explore future applications and capabilities of UAVs, including their integration with other technologies.

This instructor-led, live training (available online or onsite) is designed for government personnel at beginner to intermediate levels who wish to learn how to use 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 generate detailed maps and 3D models. - Utilize photogrammetry data for infrastructure supervision and issue detection. - Apply drone technology to enhance construction site safety and efficiency for government projects.

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

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

• Understand drone technology and the regulatory framework governing its use.
• Deploy drones to collect, process, and analyze crop data to enhance farming and agricultural practices for government applications.

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 government 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 aviation 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 instructor-led, live training (available online or onsite) is designed for developers who wish to utilize Google’s ML Kit to build machine learning models optimized for mobile devices. By the end of this training, participants will be able to: - Set up the required development environment to begin developing machine learning features for mobile applications. - Integrate new machine learning technologies into Android and iOS apps using the ML Kit APIs. - Enhance and optimize existing applications using the ML Kit SDK for on-device processing and deployment, ensuring alignment with public sector workflows and governance standards for government.

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a hands-on course designed to assist developers in building, testing, and deploying 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 for Government** - To request a customized training for this course, please contact us to arrange.

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

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

• Set up the required development environment to begin building machine learning models with Random Forest.
• Comprehend the benefits of Random Forest and how to apply it to address classification and regression challenges.
• Learn techniques for managing large datasets and interpreting multiple decision trees within Random Forest.
• Evaluate and enhance machine learning model performance through hyperparameter tuning.

In this instructor-led, live training in US, participants will gain an understanding of how to utilize ROS for their robotics projects by exploring robotics visualization and simulation tools. By the end of this training, participants will be able to: - Comprehend the fundamentals of ROS. - Develop a basic robotics project using ROS. - Utilize various tools for robotics, including simulation and visualization tools, for government applications.

This instructor-led, live training in US (online or onsite) is designed for government robotics developers at beginner to intermediate levels, as well as potentially advanced professionals, 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. - Utilize ROS tools and utilities to monitor and debug ROS applications. - Leverage ROS packages and libraries to perform common tasks for mobile robots. - Integrate ROS with other frameworks and tools for government projects. - Troubleshoot and debug ROS applications effectively.