Machine Learning for Robotics Training Course

This instructor-led live training in Australia (online or onsite) is designed for data scientists and software engineers who wish to use AdaBoost to build boosting algorithms for machine learning with Python.

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

• Configure the necessary development environment to begin building machine learning models with AdaBoost.
• Gain an understanding of ensemble learning approaches and how to implement adaptive boosting.
• Learn how to construct AdaBoost models to enhance machine learning algorithms in Python.
• Utilise hyperparameter tuning to improve the accuracy and performance of AdaBoost models.

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.

This instructor-led live training in Australia (online or onsite) is aimed at participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customised chatbots for various applications.

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

• Understand the fundamentals of chatbot development.
• Navigate the Google Cloud Platform and access AutoML.
• Prepare data for training chatbot models.
• Train and evaluate custom chatbot models using AutoML.
• Deploy and integrate chatbots into various platforms and channels.
• Monitor and optimise chatbot performance over time.

This instructor-led live training in Australia (online or onsite) is tailored for data scientists and data analysts who wish to automate, evaluate, and manage predictive models leveraging DataRobot's machine learning capabilities.

Upon completing this training, participants will be able to:

• Load datasets into DataRobot to analyse, assess, and quality-check data.
• Construct and train models to identify key variables and achieve prediction targets.
• Interpret models to generate valuable insights that inform business decisions.
• Monitor and manage models to ensure optimised prediction performance.

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 data scientists, data analysts, and developers who wish to explore AutoML products and features to create and deploy custom ML training models with minimal effort.

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

• Explore the AutoML product line to implement different services for various data types.
• Prepare and label datasets to create custom ML models.
• Train and manage models to produce accurate and fair machine learning models.
• Make predictions using trained models to meet business objectives and needs.

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.

This instructor-led, live training in Australia (online or onsite) is aimed at data scientists and software engineers who wish to use Random Forest to build machine learning algorithms for large datasets.

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

• Set up the necessary development environment to start building machine learning models with Random forest.
• Understand the advantages of Random Forest and how to implement it to resolve classification and regression problems.
• Learn how to handle large datasets and interpret multiple decision trees in Random Forest.
• Evaluate and optimize machine learning model performance by tuning the hyperparameters.

This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level data analysts who wish to learn how to use RapidMiner to estimate and project values and utilise analytical tools for time series forecasting.

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

• Learn to apply the CRISP-DM methodology, select appropriate machine learning algorithms, and enhance model construction and performance.
• Use RapidMiner to estimate and project values, and utilise analytical tools for time series forecasting.

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.