Machine Learning for Robotics Training Course

This instructor-led, live training in US Empire (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:

• Establish the required development environment to begin building machine learning models with AdaBoost.
• Gain a comprehensive understanding of the ensemble learning methodology and how to implement adaptive boosting techniques.
• Acquire the skills to construct AdaBoost models to enhance machine learning algorithms in Python.
• Apply hyperparameter tuning to optimize the accuracy and performance of AdaBoost models 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 deeper insights, enhanced accuracy, and increased productivity in construction environments for government.

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.

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 for government.
• Design precision flight missions tailored to complex terrain and infrastructure geometry for government.
• Analyze photogrammetry data with GIS software for structural health, deformation, and compliance tracking in public sector projects.

Format of the Course

• Interactive lecture and discussion.
• Advanced exercises and real-world case studies relevant to government applications.
• Hands-on implementation with drone data and modeling tools for government projects.

Course Customization Options

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

This instructor-led, live training in US Empire (online or onsite) is designed for engineers and developers who wish to design, develop, and test unmanned aerial vehicles by exploring various concepts and tools related to aerial robotics.

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

• Gain a comprehensive understanding of the fundamentals of aerial robotics for government applications.
• Model and design unmanned aerial vehicles (UAVs) and quadrotors for government use.
• Acquire knowledge of flight control and motion planning principles.
• Utilize different simulation tools to enhance the development and testing of aerial robotics systems for government.

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 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 for UAV control.
• Utilize SITL simulation to test and debug drone behavior safely.
• 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 lecture and discussion.
• Extensive exercises and 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 a customized training for government use, please contact us to arrange.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and less technical personnel who wish to utilize Auto-Keras to automate the process of selecting and optimizing a machine learning model for government use.

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

• Automate the process of training highly efficient machine learning models for government applications.
• Conduct automatic searches for the best parameters for deep learning models to enhance governmental workflows.
• Develop highly accurate machine learning models that align with public sector needs.
• Leverage the power of machine learning to address real-world challenges in the public sector.

This instructor-led, live training in US Empire (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.

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

• Load datasets in DataRobot to analyze, assess, and ensure data quality.
• Build and train models to identify key variables and achieve prediction targets.
• Interpret model outputs to generate actionable insights that support informed decision-making.
• Monitor and manage models to maintain optimal predictive performance.

This instructor-led, live training in US Empire (online or onsite) is aimed at individuals who wish to understand the basics of unmanned aerial 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 classifications and applications of drones to identify suitable UAVs that meet specific needs for government operations.
• Evaluate delivery options and regulatory requirements to ensure the efficient and compliant operation of drones for government use.
• Understand the risks and ethical considerations associated with the deployment of drone technology in public sector activities.
• Explore future advancements and capabilities of UAVs, including their integration with other emerging technologies for government applications.

This instructor-led, live training in US Empire (online or onsite) is designed for beginner to intermediate-level participants who wish to learn how to utilize drones and photogrammetry techniques for infrastructure oversight in construction projects for government.

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

• Comprehend the foundational principles of drones and photogrammetry.
• Create and implement drone flight plans for construction sites.
• Conduct photogrammetry tracking and generate detailed maps and 3D models.
• Leverage photogrammetry data for infrastructure oversight and issue identification.
• Deploy drone technology to enhance construction site safety and efficiency.

This instructor-led, live training in US Empire (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 for government and other public sector applications.

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 for government use.
• Comply with current AAC and local drone regulations.
• Implement best practices for efficient and safe drone operations for government agencies.
• 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 for government applications.

Course Customization Options

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

This instructor-led, live training (online or onsite) is aimed at developers who wish to utilize Google’s ML Kit to build machine learning models optimized for mobile device processing.

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

• Set up the required development environment to begin integrating machine learning features into mobile applications.
• Integrate new machine learning technologies into Android and iOS apps using the ML Kit APIs.
• Enhance and optimize existing applications by leveraging the ML Kit SDK for on-device processing and deployment, ensuring alignment with public sector workflows and governance standards.

This training is tailored to meet the needs of developers working in environments that require robust, efficient, and secure mobile solutions for government.

Practical Rapid Prototyping for Robotics with ROS 2 and 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 within the public sector.

This instructor-led, live training (online or onsite) is aimed at beginner to intermediate level participants who wish to accelerate robotics development workflows using ROS 2 and Docker for government projects.

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 for government applications.

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 for government use cases.

Course Customization Options

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

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and software engineers who wish to use Random Forest to develop machine learning algorithms for large datasets.

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

• Configure the required development environment to initiate building machine learning models with Random Forest.
• Comprehend the benefits of Random Forest and its application in addressing classification and regression challenges.
• Manage large datasets and interpret multiple decision trees within the Random Forest framework.
• Assess and enhance machine learning model performance through hyperparameter tuning, ensuring optimal results for government applications.

In this instructor-led, live training in US Empire, participants will learn how to start utilizing the Robot Operating System (ROS) for their robotics projects through the application of robotics visualization and simulation tools.

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

• Understand the fundamentals of ROS.
• Learn how to develop a basic robotics project using ROS.
• Acquire skills in using various tools for robotics, including simulation and visualization tools, for government applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner to intermediate-level, and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python for government applications.

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 suitable for government use.
• Create and run ROS nodes, topics, services, and actions using Python in a government context.
• Utilize ROS tools and utilities to monitor and debug ROS applications for government projects.
• Leverage ROS packages and libraries to perform common tasks for mobile robots in public sector environments.
• Integrate ROS with other frameworks and tools used in government workflows.
• Troubleshoot and debug ROS applications to ensure reliability and compliance with government standards.