Machine Learning for Robotics Training Course

This instructor-led live training in France (online or onsite) is intended for data scientists and software engineers who wish to apply AdaBoost for developing boosting algorithms in machine learning using Python.

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

• Set up the required development environment to commence building machine learning models with AdaBoost.
• Comprehend the ensemble learning approach and learn how to implement adaptive boosting.
• Discover how to construct AdaBoost models to enhance machine learning algorithms in Python.
• Utilize hyperparameter tuning to boost 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, enhanced accuracy, and improved productivity in construction environments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced-level professionals who want to apply sophisticated 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 monitoring, deformation tracking, and compliance verification.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Advanced exercises and real-world case studies.
• Hands-on implementation with drone data and modeling tools.

Course Customization Options

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

This instructor-led, live training in France (online or onsite) is intended for engineers and developers who wish to design, develop, and test aerial vehicles through an exploration of 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 the basics of flight control and motion planning.
• Learn how to use different simulation tools for aerial robotics.

This instructor-led, live training in France (online or onsite) targets participants with varying levels of expertise who aim to utilize Google's AutoML platform to develop customized chatbots for diverse 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 assess 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 France (online or onsite) is designed for data scientists and data analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

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

• Import datasets into DataRobot to analyze, assess, and perform quality checks on data.
• Construct and train models to identify key variables and achieve prediction goals.
• Interpret models to derive actionable insights that support business decision-making.
• Monitor and manage models to ensure optimal prediction performance.

This instructor-led, live training session, available France (online or on-site), is designed for individuals seeking to understand the fundamentals of unmanned aircraft systems (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:

• Acquire a solid foundation of knowledge regarding UAVs and drones.
• Understand drone classifications and use cases to select appropriate UAVs for specific requirements.
• Evaluate delivery options and regulatory frameworks to ensure smooth and compliant drone operations.
• Comprehend the risks and ethical considerations associated with drone technology.
• Explore future applications and capabilities of UAVs, including their integration with other technologies.

This instructor-led, live training in France (online or onsite) is designed for participants at the beginner to intermediate level who want to learn how to utilize drones and photogrammetry techniques for infrastructure supervision in construction projects.

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

• Grasp the fundamentals of drones and photogrammetry.
• Develop and execute drone flight plans for construction sites.
• Perform photogrammetry tracking to create detailed maps and 3D models.
• Utilize photogrammetry data for infrastructure supervision and issue detection.
• Apply drone technology to enhance safety and efficiency on construction sites.

This instructor-led, live training in France (online or onsite) is aimed at agriculture 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 high-performance drone engineered for sophisticated aerial missions, inspections, and data acquisition.

This instructor-led training session, available both online and in-person, is tailored for beginner to intermediate operators seeking to master the safe and effective use of the Evo Max 4T for professional purposes while preparing for official certification.

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

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

Course Format

• Interactive lectures and group discussions.
• Hands-on training using drone hardware and simulation software.
• Practical exercises simulating real-world flight scenarios.

Customization Options

• For customized training arrangements, please contact us directly.

This instructor-led, live training in France (online or onsite) is designed for data scientists, data analysts, and developers interested in exploring 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 various services for different 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 hands-on course designed to help developers build, test, and deploy robotic applications efficiently. Participants will learn how to containerize robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker for reproducibility and scalability. The course emphasizes agility, version control, and collaboration practices suitable for early-stage development and innovation teams.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level 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 behavior before hardware deployment.
• Collaborate effectively using containerized robotics projects.
• Apply continuous integration and deployment concepts in robotics pipelines.

Format of the Course also allows for the evaluation of participants.

• 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 France (online or onsite) is designed for data scientists and software engineers who wish to use Random Forest to build machine learning algorithms for large datasets.

Upon completion 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 France (online or onsite) is designed for 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 France, 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 France (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.