Semiconductor Physics Training Course

This instructor-led, live training in Australia (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 delivering high-precision infrastructure supervision. By integrating advanced geodesy principles with real-time modelling and high-accuracy drone mapping, professionals can achieve greater insight, precision, and productivity within 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—such as geodetic controls and high-precision mapping techniques—to complex infrastructure projects.

Upon completing this training, participants will be equipped 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.
• Analyse 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 using drone data and modelling tools.

Customisation Options

• To arrange a bespoke training session for this course, please contact us.

This instructor-led, live training in Australia (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 completion of this training, participants will be able to:

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

During this instructor-led live training, participants will acquire the skills to build a robot utilising Arduino hardware and the Arduino (C/C++) programming language.

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

• Construct and operate a robotic system encompassing both software and hardware elements
• Grasp the core concepts underpinning robotic technologies
• Integrate motors, sensors, and microcontrollers to form a functional robot
• Design the mechanical framework of a robot

Target Audience

• Developers
• Engineers
• Hobbyists

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Important Note

• The instructor will specify the hardware kits required prior to the training. These kits will generally include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and connecting cables
• USB cable
• Vehicle chassis kit
• Participants are required to purchase their own hardware.
• Should you wish to tailor this training to your specific needs, please contact us to make arrangements.

This instructor-led live training in Australia (online or on-site) 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 Australia (online or onsite) is designed for beginner to intermediate participants wishing to learn how to apply drone and photogrammetry techniques for infrastructure supervision within construction projects.

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

• Grasp the core principles of drones and photogrammetry.
• Develop and execute drone flight plans tailored to construction sites.
• Conduct photogrammetry tracking to generate detailed maps and 3D models.
• Leverage photogrammetry data for infrastructure supervision and issue detection.
• Apply drone technology to enhance safety and efficiency on construction sites.

This instructor-led, live training in Australia (online or onsite) is designed for agricultural technicians, researchers, and engineers who wish to utilise aerial robotics to optimise data collection and analysis within the agricultural sector.

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

• Grasp drone technology and the relevant regulatory framework.
• Operate drones to acquire, process, and analyse crop data to enhance farming and agricultural practices.

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 CASA 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 Australia (online or onsite) is designed for engineers and technicians at intermediate to advanced levels who wish to acquire the skills to program, operate, and optimise Fanuc and Epson robotic systems for industrial applications.

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

• Understand 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 for improved 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 instructor-led, live training session, available online or on-site, is designed for intermediate-level technical personnel seeking to operate and manoeuvre the FIFISH V6 Expert safely and effectively during underwater inspections.

Upon completing this training, learners 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 utilising onboard sensors and tools.
• Capture, manage, and analyse underwater video footage and data.

Course Format

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

Customization Options

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

This course provides an introduction to the application of machine learning techniques within robotics.

It offers a comprehensive overview of current methodologies, underlying motivations, and key concepts as they relate to pattern recognition.

Following a concise theoretical foundation, participants will undertake practical exercises using open-source platforms (typically R) or other widely used software tools.

Natural Language Processing converts raw text into actionable insights, empowering machines to interpret human communication. It explores core techniques including corpus analysis, syntactic parsing, text preprocessing pipelines, and dimensionality reduction via SVD and NMF methods. The course guides participants through practical implementations of document clustering, topic modelling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation using Python. It equips professionals to develop intelligent text analytics systems for automated content classification and search.

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 behaviour 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 Customisation Options

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

In this instructor-led live training in Australia, 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 Australia (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.