Programming and Operating Fanuc and Epson Robots Training Course

The Allen Bradley platform represents a highly popular industrial automation ecosystem designed for configuring, controlling, and integrating PLCs, HMIs, and networked devices.

This instructor-led live training (available online or onsite) targets intermediate-level automation professionals seeking to interconnect and integrate Allen Bradley devices via Ethernet for seamless communication among PLCs, HMIs, servers, and routers.

Upon completing this training, participants will be equipped to:

• Configure Ethernet-based communication within the Allen Bradley ecosystem.
• Integrate PLCs, HMIs, servers, and routers using standard communication protocols.
• Implement real-world network topologies for automation systems.
• Troubleshoot device connectivity and data exchange issues.

Course Format

• Guided instruction with demonstrations using Allen Bradley tools.
• Hands-on integration exercises with Ethernet-connected devices.
• Practical configuration and testing in a live-lab environment.

Customisation Options

• Bespoke training versions can be arranged based on specific device models or network architectures.

This instructor-led, live training in Australia (online or onsite) is designed for beginner to intermediate-level engineers and technicians eager to master the fundamentals of AB PLCs and apply them to real-world manufacturing scenarios.

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

• Understand the role and applications of AB PLCs in the manufacturing industry.
• Program AB PLCs using RSLogix 5000/Studio 5000.
• Troubleshoot common issues and perform maintenance on PLC systems.
• Design and implement a PLC-controlled system for a manufacturing process.
• Demonstrate proficiency in PLC programming through a practical project.

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.

The integration of artificial intelligence into smart factories involves applying AI technologies to automate, monitor, and optimise industrial operations in real time.

This instructor-led live training, available either online or onsite, is designed for beginner-level decision-makers and technical leads who wish to gain a strategic and practical overview of how AI can be leveraged within smart factory environments.

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

• Comprehend the core principles of AI and machine learning.
• Identify key AI use cases within manufacturing and automation sectors.
• Explore how AI supports predictive maintenance, quality control, and process optimisation.
• Evaluate the steps involved in launching AI-driven initiatives.

Course Format

• Interactive lectures and discussions.
• Real-world case studies and group exercises.
• Strategic frameworks and implementation guidance.

Course Customisation Options

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

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 aimed at intermediate-level automation engineers and control system designers who wish to implement motion control solutions using Omron PLCs.

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

• Understand fundamental motion control concepts and their applications.
• Configure motion hardware and software in Sysmac Studio.
• Program and optimise single-axis and multi-axis motion control.
• Implement coordinated motion strategies, including interpolation and synchronization.

This instructor-led, live training in Australia (online or onsite) is aimed at automation engineers and control system designers who wish to configure, program, and commission Omron Sysmac systems covering NJ/NX controllers, EtherCAT networking, G5/1S/1SA servo drives, NA Series HMI, and NX safety hardware.

This course provides students with a foundational understanding of Programmable Logic Controllers (PLCs). After exploring the core principles of PLCs, participants will learn and apply essential Ladder Diagram instructions within Industrial Automation contexts. This course is designed for Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

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.