Machine Learning for Robotics Training Course

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

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

• Set up the required development environment to start building machine learning models with AdaBoost.
• Comprehend the ensemble learning approach and how to implement adaptive boosting.
• Learn how to construct AdaBoost models to enhance 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 delivering high-precision infrastructure supervision. By leveraging advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can gain deeper insights, improve accuracy, and boost productivity within construction environments.

This instructor-led live training, available both online and onsite, targets intermediate to advanced professionals eager to apply sophisticated drone and photogrammetry workflows. The curriculum covers geodetic controls and high-precision mapping techniques specifically applied to complex infrastructure projects.

Upon completing 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 for large-scale infrastructure sites.
• Design precision flight missions customized for 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 modeling tools.

Course Customization Options

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

This instructor-led live training in Mexico (online or onsite) is designed for engineers and developers who want 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:

• Grasp the fundamentals of aerial robotics.
• Model and design UAVs and quadrotors.
• Gain knowledge of flight control and motion planning basics.
• Utilize various simulation tools specific to aerial robotics.

This instructor-led, live training in Mexico (online or on-site) is designed for participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customized chatbots for various applications.

Upon completion 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 optimize chatbot performance over time.

This instructor-led live training in Mexico (online or onsite) is designed for 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:

• Import datasets into DataRobot to analyze, assess, and ensure data quality.
• Construct and train models to pinpoint key variables and achieve prediction goals.
• Analyze models to derive actionable insights that support business decision-making.
• Monitor and oversee models to sustain optimal prediction performance.

This instructor-led, live training in Mexico (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.

This instructor-led, live training in Mexico (online or onsite) is designed for beginner to intermediate-level participants who wish to learn how to apply drone and photogrammetry techniques for infrastructure oversight in construction projects.

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

• Grasp the core principles of drones and photogrammetry.
• Create and execute drone flight plans tailored for construction sites.
• Conduct photogrammetry tracking to produce detailed maps and 3D models.
• Leverage photogrammetry data for infrastructure oversight and identifying issues.
• Utilize drone technology to enhance safety and efficiency on construction sites.

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

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

• Understand drone technology and the associated regulations.
• 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 Mexico (online or onsite) is aimed at 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.

This practical course on Rapid Prototyping for Robotics with ROS 2 & Docker is designed to equip developers with the skills to efficiently build, test, and deploy robotic applications. Participants will gain expertise in containerizing robotics environments, integrating ROS 2 packages, and creating modular robotic systems using Docker to ensure reproducibility and scalability. The curriculum focuses on agile methodologies, version control, and collaborative best practices tailored for innovation teams in the early stages of development.

Delivered as instructor-led live training (available online or onsite), this program targets beginner to intermediate-level participants seeking to accelerate their robotics development workflows through the combined power of ROS 2 and Docker.

Upon completion, participants will be able to:

• Configure a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes using modular and reproducible setups.
• Leverage simulation tools to validate system behavior prior to hardware deployment.
• Foster effective collaboration through containerized robotics projects.
• Implement continuous integration and deployment principles in robotics pipelines.

Course Format

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

Customization Options

• For teams interested in a tailored training experience, please reach out to us to arrange a customized session.

This instructor-led live training in Mexico (online or onsite) targets data scientists and software engineers aiming to use Random Forest to develop machine learning algorithms for large 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 its implementation for addressing classification and regression issues.
• Acquire the ability to handle large datasets and interpret the multiple decision trees inherent in Random Forest.
• Evaluate and optimize machine learning model performance by adjusting hyperparameters.

This instructor-led, live training in Mexico (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 in Mexico, 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 Mexico (online or onsite) is designed for robotics developers at beginner to intermediate levels, potentially extending to advanced practitioners 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.
• Troubleshoot and debug ROS applications.