Machine Learning for Robotics Training Course

This instructor-led, live training in Botswana (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.

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

• Set up the necessary development environment to start building machine learning models with AdaBoost.
• Understand the ensemble learning approach and how to implement adaptive boosting.
• Learn how to build AdaBoost models to boost machine learning algorithms in Python.
• Use hyperparameter tuning to increase 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, enhance accuracy, and boost productivity within construction environments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced professionals seeking to apply sophisticated 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:

• 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.
• Analyze 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 with drone data and modelling tools.

Course Customization Options

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

This instructor-led live training in Botswana (online or on-site) 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 equipped to:

• Grasp the fundamental principles of aerial robotics.
• Model and design UAVs and quadrotors.
• Gain insight into the core aspects of flight control and motion planning.
• Learn how to utilise various simulation tools within the field of aerial robotics.

This instructor-led live training in Botswana (online or onsite) is targeted at participants with varying levels of expertise who aim to utilise Google's AutoML platform to construct tailored chatbots for a wide array of applications.

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

• Grasping the fundamentals of chatbot development.
• Navigating the Google Cloud Platform and accessing AutoML.
• Preparing data for training chatbot models.
• Training and assessing custom chatbot models using AutoML.
• Deploying and integrating chatbots into various platforms and channels.
• Monitoring and optimising chatbot performance over time.

This instructor-led live training in Botswana (online or on-site) is targeted at data scientists and analysts seeking to automate, evaluate, and manage predictive models leveraging DataRobot's machine learning features.

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

• Loading datasets into DataRobot to analyse, assess, and perform quality checks on data.
• Constructing and training models to pinpoint key variables and achieve prediction objectives.
• Interpreting models to derive valuable insights that aid in business decision-making.
• Monitoring and managing models to sustain optimal prediction performance.

This instructor-led live training in Botswana (online or in-person) 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 Botswana (online or onsite) is designed for participants at the beginner to intermediate level 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.

This instructor-led, live training in Botswana (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimising data collection and analysis for agriculture.

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

• Understand drone technology and regulations related to it.
• Deploy drones to acquire, process, and analyse crop data to improve 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:

• 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 Botswana (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.

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

• Explore the AutoML product suite to implement diverse services for various data types.
• Prepare and label datasets to generate custom ML models.
• Train and manage models to ensure the production of accurate and fair machine learning outcomes.
• Utilize trained models to make predictions that align with business objectives and needs.

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a hands-on course designed to assist developers in efficiently building, testing, and deploying robotic applications. Participants will learn to containerise robotics environments, integrate ROS 2 packages, and prototype 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) is aimed at beginner to intermediate 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 containerised 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 Botswana (online or onsite) is designed for data scientists and software engineers who wish to utilise Random Forest to construct machine learning algorithms for large datasets.

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

• Set up the necessary development environment to begin 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 Botswana (online or onsite) is aimed at intermediate-level data analysts who wish to learn how to use RapidMiner to estimate and project values and utilize 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 held at Botswana, participants will learn how to begin using ROS for their robotics projects through the application of robotics visualization and simulation tools.

By the conclusion 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 Botswana (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.