Machine Learning for Robotics Training Course

This instructor-led, live training in Argentina (online or onsite) is aimed at data scientists and software engineers who wish to use 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 in high-precision infrastructure supervision. By integrating advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can achieve deeper insight, accuracy, and productivity in construction environments.

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

By the end 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 to track structural health, deformation, and compliance.

Format of the Course

• 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 Argentina (online or onsite) targets 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 Argentina (online or onsite) is designed for participants with varying expertise levels who wish to leverage Google's AutoML platform to build customized chatbots for various 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 Argentina (online or onsite) targets data scientists and analysts aiming 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 validate data quality.
• Construct and train models to pinpoint key variables and achieve prediction goals.
• Interpret models to generate actionable insights that support business decision-making.
• Monitor and manage models to ensure optimal prediction performance.

This instructor-led, live training in Argentina (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 Argentina (online or onsite) is designed for participants from beginner to intermediate levels who wish to learn how to utilize drones and photogrammetry techniques for infrastructure supervision in construction projects.

Upon completion 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 Argentina (online or onsite) is designed for agriculture 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 its related regulations.
• Deploy drones to acquire, process, and analyze crop data to improve farming and agricultural methods.

The Evo Max 4T is a professional-grade unmanned aerial vehicle designed for complex aerial missions, inspections, and data acquisition.

This instructor-led live training, available online or on-site, is designed for beginner to intermediate operators looking to safely and effectively utilize the Evo Max 4T for professional purposes and prepare for official certification.

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

• Grasp the technical specifications and operational mechanics of the Evo Max 4T drone.
• Implement safety protocols during aerial activities.
• Adhere to current AAC guidelines and local drone regulations.
• Apply best practices for efficient and secure drone operations.
• Prepare for certification and licensing through comprehensive theoretical and practical instruction.

Course Format

• Interactive lectures and discussions.
• Hands-on experience with drone hardware and simulation software.
• Practical exercises and real-world flight scenarios.

Customization Options

• To arrange a customized training program for this course, please contact us to make the necessary arrangements.

This instructor-led, live training in Argentina (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.

This practical course on Rapid Prototyping in Robotics with ROS 2 and Docker provides developers with the skills to efficiently build, test, and deploy robotic applications. Learners will acquire knowledge on containerizing robotic environments, integrating ROS 2 packages, and prototyping modular robotic systems using Docker to ensure reproducibility and scalability. The curriculum focuses on agility, version control, and collaboration techniques tailored for early-stage development and innovation teams.

This instructor-led live training, available online or onsite, targets beginner to intermediate participants seeking to speed up their robotics development workflows through ROS 2 and Docker.

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

• Establishing a ROS 2 development environment within Docker containers.
• Developing and testing robotic prototypes in modular, reproducible configurations.
• Utilizing simulation tools to verify system behavior prior to hardware deployment.
• Collaborating effectively through containerized robotics projects.
• Applying continuous integration and deployment principles within robotics pipelines.

Course Structure

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

Customization Options

• For requests regarding customized training for this course, please contact us to arrange it.

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

During this instructor-led live training in Argentina, 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 Argentina (online or onsite) targets beginner to intermediate, and potentially advanced-level robotics developers who want to learn how to use ROS to program mobile robots with Python.

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

• Configure a development environment that includes ROS, Python, and a mobile robot platform.
• Create and execute ROS nodes, topics, services, and actions using Python.
• Employ ROS tools and utilities to monitor and debug ROS applications.
• Utilize ROS packages and libraries to perform standard tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshoot and debug ROS applications.