Amazon Web Services (AWS) RoboMaker Training Course

Drones and photogrammetry have become essential tools in high-precision infrastructure supervision. By integrating advanced geodesy principles, real-time modeling, and highly accurate drone mapping, professionals can gain deeper insights, greater accuracy, and enhanced productivity in construction environments.

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

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

• Utilize advanced photogrammetric methods, such as RTK/PPK workflows and ground control calibration.
• Incorporate geodetic reference systems and projections for large-scale infrastructure sites.
• Plan precision flight missions tailored to complex terrain and infrastructure geometry.
• 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.
• Practical 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 Norway (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through 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 other unmanned vehicles. It offers advanced functionalities such as autonomous navigation, real-time communication with ground stations, and integration with robotics middleware like ROS2.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level developers and technical professionals who want to design, program, and test unmanned aerial vehicles (UAVs) using ArduPilot.

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 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 this course, please contact us to arrange.

This instructor-led, live training in Norway (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 Norway (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 Norway (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 Norway (online or onsite) is aimed at 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 in Norway (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 Norway (online or onsite) is aimed at beginner-level to intermediate-level participants 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 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 Norway (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture.

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

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

This instructor-led, live training in Norway (online or onsite) is aimed at 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 fundamentals of serverless architecture.
• Set up 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 performance and cost efficiency.

The Evo Max 4T is a professional-grade drone designed for advanced aerial operations, inspections, and data collection tasks.

This instructor-led, live training (available online or on-site) is aimed at operators with beginner to intermediate levels of experience who wish to use the Evo Max 4T safely and effectively for professional applications and prepare for official certification.

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

• Understand the technical specifications and operational capabilities of the Evo Max 4T drone.
• Implement safety procedures during aerial activities.
• Adhere to current AAC and local drone regulations.
• Apply best practices for efficient and safe drone operations.
• Prepare for certification or licensing through a combination of theoretical and practical training.

Format of the Course

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

Course Customization Options

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

Summary:

• Foundations of IoT architecture and functionalities
• Understanding "Things," "Sensors," the Internet, and their alignment with business functions in IoT
• Key components of all IoT software systems—hardware, firmware, middleware, cloud, and mobile applications
• IoT operations—Fleet management, data visualization, SaaS-based fleet management and data visualization, alerts/alarms, sensor onboarding, device onboarding, and geo-fencing
• Fundamentals of IoT device communication with the cloud using MQTT
• Connecting IoT devices to AWS using MQTT (AWS IoT Core)
• Linking AWS IoT Core with AWS Lambda for computation and data storage
• Integrating a Raspberry Pi with AWS IoT Core for basic data communication
• Handling alerts and events
• Sensor calibration techniques

Summary:

• The fundamentals of IoT architecture and its functions
• An overview of "Things," "Sensors," the Internet, and their alignment with business functions in IoT
• The essential components of all IoT software systems—hardware, firmware, middleware, cloud, and mobile applications
• Key IoT functionalities such as fleet management, data visualization, SaaS-based fleet management and data visualization, alerts/alarms, sensor onboarding, device onboarding, and geo-fencing
• The basics of IoT device communication with the cloud using MQTT
• Connecting IoT devices to AWS using MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for computation and data storage via DynamoDB
• Linking a Raspberry Pi to AWS IoT Core for simple data communication
• Practical experience building a smart device with a Raspberry Pi and AWS IoT Core
• Data visualization and communication through a web interface

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a hands-on course tailored to assist developers in efficiently building, testing, and deploying robotic applications. Participants will gain skills in containerizing robotics environments, integrating ROS 2 packages, and prototyping modular robotic systems using Docker, ensuring reproducibility and scalability. The course places a strong emphasis on agility, version control, and collaboration practices, making it ideal for early-stage development and innovation teams.

This instructor-led, live training (available both online and onsite) is designed for participants ranging from beginners to intermediate levels who are looking to streamline their 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 deploying hardware.
• Collaborate effectively on 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.