Machine Learning for Robotics Training Course

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

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

• Establish the necessary development environment to begin constructing machine learning models with AdaBoost.
• Grasp the ensemble learning approach and understand how to implement adaptive boosting.
• Acquire the skills to construct AdaBoost models that enhance machine learning algorithms in Python.
• Employ hyperparameter tuning to boost the accuracy and performance of AdaBoost models.

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

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

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

• Apply 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.
• Analyze photogrammetry data using GIS software for structural health, deformation, and compliance tracking.

Course Format

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

Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led live training in South Africa (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.

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

• Understand the fundamentals 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.

This instructor-led live training in South Africa (online or onsite) targets participants with varying levels of expertise who wish to utilise Google's AutoML platform to construct tailored chatbots for diverse applications.

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

• Grasp 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 South Africa (online or onsite) is tailored for data scientists and analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

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

• Load datasets into DataRobot to analyse, assess, and perform quality checks on data.
• Build and train models to identify key variables and achieve prediction objectives.
• Interpret models to derive valuable insights that support strategic business decisions.
• Monitor and manage models to ensure optimised prediction performance.

This instructor-led, live training in South Africa (online or onsite) is designed for individuals who wish to understand the fundamentals 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 South Africa (online or onsite) is designed for participants at a beginner to intermediate level who wish to learn how to utilise drones and photogrammetry techniques for infrastructure oversight in construction projects.

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

• Grasp the fundamentals of drones and photogrammetry.
• Develop and execute drone flight plans for construction sites.
• Conduct photogrammetry tracking and create detailed maps and 3D models.
• Utilise photogrammetry data for infrastructure oversight and issue detection.
• Apply drone technology to enhance safety and efficiency on construction sites.

This instructor-led, live training in South Africa (online or onsite) is designed for agricultural technicians, researchers, and engineers who wish to apply aerial robotics to optimise data collection and analysis for agriculture.

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

• Understand drone technology and the regulations governing its use.
• Deploy drones to acquire, process, and analyse crop data to enhance farming and agricultural methods.

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:

• Grasp 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 South Africa (online or onsite) is designed for data scientists, data analysts, and developers keen on exploring AutoML products and features to create and deploy custom ML training models with minimal effort.

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

• Explore the AutoML product range to implement various services for different 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 assist developers in building, testing, and deploying robotic applications efficiently. Participants will acquire skills in containerizing robotics environments, integrating ROS 2 packages, and prototyping modular robotic systems using Docker to ensure reproducibility and scalability. The course places a strong emphasis on agility, version control, and collaborative practices that are well-suited for early-stage development and innovation teams.

This instructor-led, live training (available online or onsite) targets participants at the beginner to intermediate level who wish to accelerate their robotics development workflows using ROS 2 and Docker.

Upon completing this training, participants will be able to:

• Configure a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes within modular and reproducible setups.
• Utilise simulation tools to validate system behaviour prior to hardware deployment.
• Collaborate effectively through containerised robotics projects.
• Apply continuous integration and deployment concepts within robotics pipelines.

Format of the Course

• Interactive lectures and demonstrations.
• Hands-on exercises involving 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.

This instructor-led live training in South Africa (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 optimise machine learning model performance by tuning the hyperparameters.

This instructor-led live training in South Africa (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 utilize analytical tools for time series forecasting.

In this instructor-led, live training in South Africa, 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 South Africa (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.
• Troubleshooting and debugging ROS applications.