Machine Learning for Robotics Training Course

This instructor-led live training in Kenya (online or onsite) is intended for data scientists and software engineers who wish to employ AdaBoost to develop boosting algorithms for machine learning using 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 in high-precision infrastructure supervision. By integrating advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can achieve deeper insights, greater accuracy, and enhanced productivity within construction environments.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced-level professionals who aim to apply sophisticated drone and photogrammetry workflows. These include geodetic controls and high-precision mapping techniques tailored to complex infrastructure projects.

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

• Implement advanced photogrammetric methods, such as RTK/PPK workflows and ground control calibration.
• Integrate geodetic reference systems and projections suitable for large-scale infrastructure sites.
• Design precision flight missions adapted to complex terrains and infrastructure geometries.
• 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 using drone data and modeling tools.

Course Customization Options

• For those interested in a customized training session, please contact us to make arrangements.

This instructor-led live training in Kenya (online or onsite) is designed for engineers and developers interested in designing, developing, and testing aerial vehicles through the exploration of diverse aerial robotics concepts and tools.

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

• Understand the core principles of aerial robotics.
• Model and design UAVs and quadrotors.
• Learn about the fundamentals of flight control and motion planning.
• Learn how to employ different simulation tools for aerial robotics.

This instructor-led live training in Kenya (online or on-site) is designed for participants with varying levels of expertise who aim to leverage Google's AutoML platform to construct customized chatbots for diverse applications.

By the conclusion 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 optimize chatbot performance over time.

This instructor-led live training in Kenya (online or onsite) targets data scientists and analysts who want to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

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

• Load datasets in DataRobot to analyze, assess, and quality check data.
• Build and train models to identify important variables and meet prediction targets.
• Interpret models to create valuable insights that are useful in making business decisions.
• Monitor and manage models to maintain an optimized prediction performance.

This instructor-led, live training in Kenya (online or onsite) 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.

Instructor-led, this live training (available online or onsite) is designed for beginner to intermediate participants aiming to learn how to apply drone and photogrammetry techniques for supervising construction infrastructure.

By the conclusion 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 Kenya (online or onsite) is designed for agricultural technicians, researchers, and engineers who wish to apply aerial robotics in optimizing 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 analyze 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 Kenya (online or onsite) is designed for data scientists, data analysts, and developers who want 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:

• Navigate the AutoML product suite to implement diverse services for various data types.
• Prepare and annotate datasets to generate custom ML models.
• Train and oversee models to ensure they yield accurate and fair machine learning outcomes.
• Leverage trained models for making predictions that address business goals and needs.

Hands-On Rapid Prototyping for Robotics Using ROS 2 & Docker is a practical course crafted to assist developers in efficiently building, testing, and deploying robotic applications. Participants will acquire skills in containerizing robotics environments, integrating ROS 2 packages, and prototyping modular robotic systems by leveraging Docker for enhanced reproducibility and scalability. The curriculum places strong emphasis on agility, version control, and collaborative practices ideal for innovation teams at the early stages of development.

This instructor-led live training, available both online and onsite, is tailored for participants at beginner to intermediate levels who aim to speed up their robotics development workflows through the use of ROS 2 and Docker.

Upon completing this training, participants will be capable of:

• Establishing a ROS 2 development environment within Docker containers.
• Developing and testing robotic prototypes within modular and reproducible setups.
• Utilizing simulation tools to validate system behaviour prior to hardware deployment.
• Collaborating effectively via containerized robotics projects.
• Applying continuous integration and deployment concepts within robotics pipelines.

Course Format

• Interactive lectures and demonstrations.
• Practical exercises involving ROS 2 and Docker environments.
• Mini-projects centred on real-world robotic applications.

Customization Options

• To request a customized training session for this course, please reach out to us to make arrangements.

This instructor-led live training in Kenya (available online or onsite) is tailored for data scientists and software engineers who aim to utilize Random Forest to build machine learning algorithms for extensive datasets.

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

• Establish the necessary development environment to commence building machine learning models with Random Forest.
• Comprehend the advantages of Random Forest and learn how to implement it to address classification and regression issues.
• Master the techniques for handling large datasets and interpreting multiple decision trees within Random Forest.
• Evaluate and optimize machine learning model performance through hyperparameter tuning.

This instructor-led live training in Kenya (online or onsite) targets intermediate-level data analysts who wish to learn how to use RapidMiner for estimating and projecting values and utilizing analytical tools for time series forecasting.

By the end of this training, participants will be able 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, 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 Kenya (online or onsite) is designed for beginner to intermediate robotics developers, and potentially advanced-level professionals, who wish to learn how to program mobile robots using ROS and Python.

By the conclusion 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.