Underwater ROV Handling and Operations Training Course

This instructor-led, live training in Greece (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks.

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

• Understand how robotics is applied in welding.
• Develop proficiency in programming the ABB IRB 2600ID robot for various welding tasks.
• Learn to safely and effectively operate the ABB IRB 2600ID robot.
• Understand the safety standards and procedures relevant to robotic welding operations.

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

This instructor-led live training (available online or onsite) is designed for intermediate to advanced-level professionals seeking to master drone and photogrammetry workflows. The curriculum covers geodetic controls and high-precision mapping techniques applied to complex infrastructure projects.

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

• Implementing advanced photogrammetric methods, including RTK/PPK workflows and ground control calibration.
• Integrating geodetic reference systems and projections for large-scale infrastructure sites.
• Designing precision flight missions tailored to complex terrain and infrastructure geometry.
• Analyzing photogrammetry data using GIS software for structural health monitoring, deformation tracking, and compliance.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Greece (online or onsite) targets beginner to intermediate-level 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.

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.

This instructor-led, live training in Greece (online or onsite) is designed for intermediate to advanced engineers and technicians seeking to master the programming, operation, and optimization of Fanuc and Epson robotic systems for industrial applications.

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

• Comprehend the architecture and functionalities of Fanuc and Epson robots.
• Program robot movements, logic, and sensor integrations.
• Implement safety protocols and troubleshooting techniques.
• Optimize robotic workflows to enhance efficiency.

The FIFISH V6 Expert is a professional-grade underwater remotely operated vehicle (ROV) engineered for inspection, exploration, and the assessment of submerged structures.

This training session, led by an instructor and available either online or onsite, is tailored for intermediate-level technical staff seeking to safely and effectively operate and maneuver the FIFISH V6 Expert during underwater inspections.

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

• Configure, calibrate, and maintain the FIFISH V6 Expert system.
• Pilot the ROV in both open water and confined underwater environments.
• Execute submerged structural inspection tasks utilizing onboard sensors and tools.
• Capture, manage, and analyze underwater video footage and data.

Course Format

• Instructor-led demonstrations and practical briefings.
• Hands-on exercises conducted using either real equipment or simulator environments.
• Field operation practice featuring supervised piloting scenarios.

Course Customization Options

• Training content can be adapted to specific inspection environments, mission profiles, or operator competency requirements.

Natural Language Processing converts unstructured text into valuable insights, empowering machines to interpret human language effectively. This course explores core techniques including corpus analysis, syntactic parsing, text preprocessing pipelines, and dimensionality reduction via SVD and NMF methodologies. Participants will engage in hands-on implementations of document clustering, topic modeling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation using Python. By the end of the course, practitioners will be equipped to develop intelligent text analytics systems for automated content classification and search capabilities.

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.

In this instructor-led live training in Greece, 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.

This instructor-led, live training in Greece (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.