Amazon Web Services (AWS) RoboMaker Training Course

Drones and photogrammetry have become indispensable tools for high-precision infrastructure supervision. By combining advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can enhance their insights, accuracy, and productivity in construction environments.

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

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 terrains and infrastructure geometries.
• Analyze photogrammetry data using GIS software to monitor structural health, deformation, and compliance.

Format of the Course

• Interactive lectures and discussions.
• Advanced exercises and real-world case studies.
• Hands-on practice with drone data and modeling tools.

Course Customization Options

• To request a customized training session, please contact us to arrange.

This instructor-led, live training in Uzbekistan (available online or on-site) is designed for engineers and developers who wish to design, develop, and test aerial vehicles by exploring various concepts and tools in aerial robotics.

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

• Understand the fundamentals of aerial robotics.
• Model and design UAVs and quadrotors.
• Learn the basics of flight control and motion planning.
• Learn how to use different simulation tools for aerial robotics.

ArduPilot is a comprehensive open-source autopilot software suite designed for drones, rovers, and various unmanned vehicles. It offers sophisticated capabilities including autonomous navigation, real-time interaction with ground stations, and seamless integration with robotics middleware such as ROS2.

This instructor-led training session, available either online or in person, targets intermediate developers and technical experts looking to design, program, and test unmanned aerial vehicles (UAVs) utilizing the ArduPilot platform.

Upon completing this training, participants will gain the ability to:

• Establish a fully functional development environment for ArduPilot.
• Configure firmware, middleware, and MAVLink APIs to control UAVs.
• Utilize SITL simulation to safely test and debug drone operations.
• Enhance ArduPilot capabilities with ROS2 and connect it to external sensors or tools.
• Create autonomous flight logic and execute complete UAV missions from start to finish.

Course Format

• Engaging lectures and interactive discussions.
• Extensive hands-on exercises and practice sessions.
• Practical implementation within a live-lab environment.

Customization Options

• This program focuses on the open-source ArduPilot autopilot software. For tailored training needs, please reach out to us to arrange a customized session.

This instructor-led, live training in Uzbekistan (onsite or remote) is designed for engineers looking to deploy and manage IoT devices on AWS.

Upon completion of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.

This instructor-led, live training in Uzbekistan (online or on-site) is intended for developers who aim to install, configure, and manage AWS IoT Greengrass capabilities to build applications for diverse devices.

By the end of this training, participants will be equipped to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

This instructor-led, live training Uzbekistan (onsite or remote) is designed for developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without worrying about provisioning the execution environment (servers, VMs, and containers, availability, scalability, storage, etc.).

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

• Configure AWS Lambda to execute a function.
• Understand FaaS (Functions as a Service) and the advantages of serverless development.
• Build, upload, and execute AWS Lambda functions.
• Integrate Lambda functions with different event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in Uzbekistan (online or on-site) is designed for advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

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

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training (available online or onsite) is designed for anyone interested in understanding the basics of UAS and applying drone technology in planning, operations, management, and analysis across various industries.

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

• Acquire foundational knowledge of UAVs and drones.
• Understand drone classifications and their uses to identify suitable UAVs for various needs.
• Assess delivery options and regulatory frameworks for efficient drone operations.
• Recognize the risks and ethical considerations associated with drone technology.
• Explore future applications and potential integrations of UAVs with other technologies.

This instructor-led, live training in Uzbekistan (online or onsite) is tailored for beginner to intermediate participants aiming 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 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 Uzbekistan (online or onsite) is designed for agriculture technicians, researchers, and engineers who aim to utilize aerial robotics to optimize data collection and analysis in agriculture.

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

• Gain a comprehensive understanding of drone technology and its regulatory framework.
• Deploy drones to collect, process, and analyze crop data to enhance farming and agricultural methods.

This instructor-led, live training in Uzbekistan (online or on-site) is designed for intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Understand the core principles of serverless architecture.
• Configure AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimize serverless applications for improved performance and cost efficiency.

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.

Course Format

• Interactive lectures and discussions.
• Hands-on practice using drone equipment and simulators.
• Practical exercises and real-world flight scenarios.

Course Customisation Options

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

Summary:

• Fundamentals of IoT architecture and functionality
• Understanding devices, sensors, internet connectivity, and their alignment with business functions
• Core components of IoT software: hardware, firmware, middleware, cloud, and mobile applications
• Key IoT services: fleet management, data visualization, SaaS-based FM/DV, alerting, sensor and device onboarding, and geo-fencing
• Basics of device-to-cloud communication using MQTT
• Connecting IoT devices to AWS via MQTT using AWS IoT Core
• Integrating AWS IoT Core with AWS Lambda for computation and DynamoDB for data storage
• Linking Raspberry Pi with AWS IoT Core for basic data exchange
• Practical implementation with Raspberry Pi and AWS IoT Core to create a smart device
• Sensor data visualization and web interface communication

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 emphasises agility, version control, and collaborative 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 behaviour before hardware deployment.
• Collaborate effectively using containerised robotics projects.
• Apply continuous integration and deployment concepts in robotics pipelines.

Course Format

• Interactive lectures and demonstrations.
• Hands-on exercises with ROS 2 and Docker environments.
• Mini-projects focused on real-world robotic applications.

Course Customisation Options

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

In this instructor-led, live training in Uzbekistan, participants will learn how to utilize ROS for their robotics projects by employing various robotics visualization and simulation tools.

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

• Grasp the fundamental concepts of ROS.
• Develop a basic robotics project using ROS.
• Utilize various tools for robotics, including simulation and visualization tools.