Machine Learning for Robotics Training Course

This instructor-led, live training in the UAE (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, enhance accuracy, and boost productivity in construction environments.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced professionals looking to apply sophisticated drone and photogrammetry workflows—such as geodetic controls and high-precision mapping techniques—to 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 tailored to complex terrain and infrastructure geometry.
• Analyze photogrammetry data using GIS software for structural health assessment, deformation monitoring, and compliance tracking.

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

This instructor-led live training in the UAE (online or onsite) targets 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 basics of aerial robotics.
• Model and design UAVs and quadrotors.
• Learn about the basics of flight control and motion planning.
• Learn how to use different simulation tools for aerial robotics.

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

This instructor-led live training, available either online or onsite, is tailored 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 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 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.
• Extensive exercises and practical practice.
• 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.

This instructor-led live training in the UAE (available online or onsite) targets data scientists and non-technical professionals interested in using 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.
• Utilize the power of machine learning to solve real-world business problems.

This instructor-led live training, available online or onsite, is designed for technical professionals 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 the UAE (online or onsite) is tailored for data scientists and analysts aiming to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

Upon completing this training, participants will be able to:

• Load datasets into DataRobot to analyze, assess, and ensure 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 the UAE (online or onsite) is aimed at anyone who wishes 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 the UAE (online or onsite) is tailored for beginner to intermediate participants who wish to learn how to apply 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 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 the UAE (online or onsite) targets agriculture technicians, researchers, and engineers who wish to leverage aerial robotics to optimize data collection and analysis for agricultural purposes.

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

• Understand drone technology and the regulations surrounding it.
• Deploy drones to acquire, process, and analyze crop data to enhance farming and agricultural methods.

The Evo Max 4T is an advanced, professional-grade unmanned aerial vehicle (UAV) engineered for complex aerial missions, detailed inspections, and comprehensive data acquisition.

This instructor-led training program, available online or on-site, is tailored for operators at the beginner to intermediate levels who aim to utilize the Evo Max 4T safely and efficiently for professional purposes 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.
• Execute rigorous safety protocols during aerial activities.
• Adhere to current Civil Aviation Authority (AAC) and regional drone regulations.
• Apply industry best practices for secure and efficient UAV operations.
• Prepare for official certification and licensing through a blend of theoretical knowledge and practical application.

Course Delivery Format

• Engaging lectures coupled with interactive discussions.
• Experiential learning with drone hardware and flight simulators.
• Real-world flight scenarios and practical exercises.

Customization Availability

• For inquiries regarding customized training arrangements for this course, please reach out to us.

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 with efficiency. Participants will acquire the skills to containerize robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker to ensure reproducibility and scalability. The curriculum places strong emphasis on agility, version control, and collaborative practices tailored for early-stage development and innovation teams.

This instructor-led, live training (available online or onsite) targets beginner to intermediate-level participants looking to accelerate their robotics development workflows through the use of ROS 2 and Docker.

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

• Configure a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes within modular, reproducible setups.
• Utilize simulation tools to validate system behavior prior to hardware deployment.
• Collaborate effectively via containerized robotics projects.
• Implement 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

• To request customized training for this course, please get in touch with us to arrange.

This instructor-led, live training in the UAE (online or onsite) is tailored for data scientists and software engineers who wish to employ Random Forest to construct machine learning algorithms for large datasets.

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

• Set up the required development environment to start creating machine learning models with Random Forest.
• Understand the benefits of Random Forest and its implementation for addressing classification and regression issues.
• Learn techniques for handling large datasets and interpreting the multiple decision trees utilized in Random Forest.
• Evaluate and optimize the performance of machine learning models by adjusting hyperparameters.

In this instructor-led live training in the UAE, participants will learn how to begin utilizing 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 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 the UAE (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.
• Troubleshoot and debug ROS applications.