Machine Learning for Robotics Training Course

This instructor-led live training in Brazil (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 for 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 increased productivity in construction environments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced-level professionals who wish to apply advanced drone and photogrammetry workflows, including geodetic controls and high-precision mapping techniques, 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 for structural health, deformation, and compliance tracking.

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 Brazil (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.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of aerial robotics.
• Model and design UAVs and quadrotors.
• Gain insights into the basics of flight control and motion planning.
• Utilize various simulation tools for aerial robotics.

This instructor-led live training in Brazil (online or onsite) is designed for participants with diverse levels of expertise who aim to utilize Google's AutoML platform to construct customized chatbots for various applications.

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

• Grasp the fundamental principles 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 diverse platforms and channels.
• Monitor and optimize chatbot performance over time.

This instructor-led live training in Brazil (available online or onsite) targets data scientists and data analysts seeking 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 into DataRobot to analyze, assess, and quality check data.
• Build and train models to identify critical 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 Brazil (online or onsite) is designed for individuals who wish to understand the fundamentals of UAS and apply drone technology to planning, operations, management, and analysis across 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 Brazil (online or onsite) is designed for beginner to intermediate-level participants who wish to learn how to use drones and photogrammetry techniques for infrastructure supervision in construction projects.

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

• Grasp the fundamentals of drones and photogrammetry.
• Create and execute drone flight plans tailored to construction sites.
• Conduct photogrammetry tracking to produce detailed maps and 3D models.
• Leverage photogrammetry data for infrastructure supervision and issue detection.
• Utilize drone technology to enhance safety and efficiency on construction sites.

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

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

• Understand drone technology and the relevant regulations governing its use.
• Deploy drones to acquire, process, and analyze crop data to improve farming practices and agricultural methods.

The Evo Max 4T is a professional-grade unmanned aerial vehicle engineered for sophisticated flight missions, detailed inspections, and comprehensive data gathering.

Offered as an instructor-led live session—available either online or on-site—this program targets beginner to intermediate pilots who want to leverage the Evo Max 4T safely and effectively for professional use while preparing for official certification exams.

Upon completing this training, participants will be equipped to:

• Grasp the technical specifications and operational mechanics of the Evo Max 4T.
• Execute rigorous safety protocols during aerial tasks.
• Adhere to current AAC guidelines and local drone regulations.
• Adopt industry best practices for secure and efficient drone management.
• Ready themselves for certification and licensing through a blend of theoretical study and practical drills.

Course Format

• Engaging lectures paired with interactive discussions.
• Direct hands-on experience with drone hardware and simulation software.
• Practical assignments and realistic flight scenarios.

Customization Options

• For tailored training sessions, please reach out to us to discuss your specific needs.

This instructor-led, live training in Brazil (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.

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a practical course aimed at helping developers build, test, and deploy robotic applications with efficiency. Participants will learn how to containerize robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker to ensure reproducibility and scalability. The course highlights agility, version control, and collaboration practices that are ideal for early-stage development and innovation teams.

This instructor-led live training (available online or onsite) targets beginner to intermediate participants who want to accelerate their 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 behavior before hardware deployment.
• Collaborate effectively using containerized 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 Customization Options

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

This instructor-led, live training in Brazil (online or onsite) is designed for data scientists and software engineers who wish to utilize Random Forest to construct machine learning algorithms for large datasets.

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

• Configure the necessary development environment to commence building machine learning models using Random Forest.
• Grasp the benefits of Random Forest and learn how to implement it to solve classification and regression challenges.
• Acquire skills in managing large datasets and interpreting the output of multiple decision trees within Random Forest.
• Assess and refine machine learning model performance through hyperparameter tuning.

This instructor-led, live training, available online or onsite, targets intermediate-level data analysts who wish to learn how to use RapidMiner for value estimation, projection, and the utilization of 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.

During this instructor-led live training in Brazil, 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 Brazil (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.