Amazon Web Services (AWS) RoboMaker Training Course

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 achieve greater insight, precision, and productivity in construction environments.

This instructor-led live training (available online or onsite) targets intermediate to advanced-level professionals seeking to apply sophisticated drone and photogrammetry workflows—including 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 to monitor structural health, deformation, and compliance.

Course Format

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

Customization Options

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

This instructor-led, live training in Taiwan (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 completing this training, participants will be able to:

• Grasp the fundamental principles of aerial robotics.
• Model and design UAVs and quadrotors.
• Gain knowledge about the fundamentals of flight control and motion planning.
• Learn to utilize various simulation tools for aerial robotics.

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 seamless integration with robotics middleware like ROS2.

This instructor-led live training, available either online or onsite, is tailored for intermediate-level developers and technical professionals looking to design, program, and test unmanned aerial vehicles (UAVs) using ArduPilot.

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

• Establish a complete 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 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.
• Ample exercises and practice opportunities.
• Hands-on implementation within a live lab environment.

Course Customization Options

• This training is based on the open-source autopilot software ArduPilot. For customized training arrangements, please contact us.

This instructor-led, live training in Taiwan (onsite or remote) is aimed at engineers who wish to deploy and manage IoT devices on AWS.

By the end 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 Taiwan (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

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

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

By the end 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 Taiwan (online or onsite) is designed for advanced professionals seeking to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

Upon completion of this training, participants will be capable of:

• Setting up and configuring AWS Cloud9 for DevOps workflows.
• Implementing continuous integration and continuous delivery (CI/CD) pipelines.
• Automating testing, monitoring, and deployment processes using AWS Cloud9.
• Integrating AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Leveraging source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led live training in Taiwan (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 Taiwan (online or onsite) is tailored for beginner to intermediate-level participants who wish to learn how to utilize drones and photogrammetry techniques for infrastructure supervision in construction projects.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts of drones and photogrammetry.
• Formulate and execute drone flight plans for construction sites.
• Conduct photogrammetry tracking and generate detailed maps and 3D models.
• Leverage photogrammetry data for infrastructure supervision and issue detection.
• Utilize drone technology to enhance construction site safety and operational efficiency.

This instructor-led, live training in Taiwan (online or onsite) is designed for agricultural technicians, researchers, and engineers who aim to leverage aerial robotics to optimize data collection and analysis in agriculture.

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

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

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level professionals aiming 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:

• Comprehend the fundamental 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 both 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.

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.

Summary:

• Foundations of IoT architecture and its core functions
• Understanding "Things," "Sensors," internet connectivity, and mapping IoT to business functions
• Essential software components of IoT: hardware, firmware, middleware, cloud, and mobile applications
• Key IoT functions: fleet management, data visualization, SaaS-based facility management and data visualization, alerts/alarms, sensor onboarding, "thing" registration, and geo-fencing
• Basics of IoT device-to-cloud communication using MQTT
• Connecting IoT devices to AWS via MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for computation and DynamoDB for data storage
• Connecting Raspberry Pi to AWS IoT Core for straightforward data communication
• Hands-on experience with Raspberry Pi and AWS IoT Core to construct 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 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.

During this instructor-led live training in Taiwan, 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.