Introduction to Image Processing using Matlab Training Course

Developing core competencies in MATLAB programming unlocks a powerful platform for technical computing and numerical analysis. This course explores essential concepts including variable handling, array operations, matrix algebra, control flow structures, custom function creation, and script development. It guides participants through practical workflows such as data visualization, plotting techniques, and algorithm development, which are crucial for engineering simulations and mathematical modeling projects.

This three-day course offers a comprehensive introduction to the MATLAB technical computing environment. Designed for beginners and those seeking a refresher, it assumes no prior programming experience or knowledge of MATLAB. The curriculum explores key themes such as data analysis, visualization, modeling, and programming. Topics covered include:

• Navigating the MATLAB user interface
• Inputting commands and creating variables
• Analyzing vectors and matrices
• Visualizing vector and matrix data
• Managing data files
• Working with different data types
• Automating commands via scripts
• Writing programs with logic and flow control
• Creating functions

In this instructor-led live training, participants will learn how to use MATLAB to design, build, and visualize a convolutional neural network for image recognition.

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

• Build a deep learning model
• Automate data labeling
• Work with models from Caffe and TensorFlow-Keras
• Train data using multiple GPUs, the cloud, or clusters

Audience

• Developers
• Engineers
• Domain experts

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in Brazil (online or onsite) is designed for beginner-level developers or engineers who wish to learn how to use numerical simulation for dynamic problems using Matlab.

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

• Understand the fundamentals of dynamic analysis.
• Use Matlab to perform analytical and numerical solutions.
• Derive motion equations using different approaches.

MATLAB seamlessly integrates computation, visualization, and programming within an intuitive environment. It provides the Financial Toolbox, equipped with the necessary features to conduct mathematical and statistical analyses of financial data, while presenting results through high-quality graphics suitable for professional presentations.

This instructor-led training introduces participants to the application of MATLAB in finance. The course covers data analysis, visualization, modeling, and programming through extensive hands-on exercises and in-lab practice.

Upon completing this training, participants will possess a comprehensive understanding of the powerful features within MATLAB's Financial Toolbox. They will also have acquired the practical skills required to immediately apply these tools to solve real-world financial problems.

Audience

• Financial professionals who already have experience with MATLAB

Course Format

• A blend of lectures and discussions, emphasizing heavy hands-on practice

Object-Oriented Programming with MATLAB for Geophysics involves applying MATLAB’s OOP features to build structured, reusable, and maintainable code for geophysical data analysis and modeling.

This instructor-led, live training (online or onsite) is designed for beginner-level MATLAB users in geophysics who want to learn how to design and implement object-oriented solutions for geophysical applications.

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

• Understand the fundamentals of object-oriented programming in MATLAB.
• Create and work with classes, properties, and methods for geophysical data handling.
• Apply OOP techniques to structure geophysical modeling and analysis workflows.
• Enhance code reusability, scalability, and clarity for geoscience projects.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This two-day course offers a thorough introduction to the MATLAB® technical computing environment. Designed for beginners and those seeking a refresher, it assumes no prior programming experience or familiarity with MATLAB. Key themes such as data analysis, visualization, modeling, and programming are covered throughout the sessions.

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application using MagicDraw/Cameo software, basic MBSE simulation techniques, and MBSE best practices. The training also aims to provide professionals with a background in architectural simulation, introduce the Simulation Toolkit plugin, demonstrate how to simulate various diagram types, and show how to link diagram simulations to automate the architecture.​

This instructor-led, live training in Brazil (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.

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

• Install and configure a Python development environment.
• Understand the differences and similarities between Matlab and Python syntax.
• Use Python to obtain insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

Elevate your automotive engineering expertise with this advanced Simulink training program, which integrates theoretical models of multidomain dynamic systems with practical applications using Simulink/Stateflow verification, Reactis tools, and Matelo solutions. Tailored for automotive systems engineers, control specialists, and MATLAB/Simulink professionals aiming to master complex automotive modeling, this course provides hands-on experience in solver selection, subsystem simulation parameters, and system verification. Participants will learn to build reliable, high-performance automotive control models and accelerate vehicle development cycles.

This course offers comprehensive material on MATLAB as a powerful simulation tool for communications. The primary aim is to introduce MATLAB not merely as a general programming language, but to emphasize the role of its extremely powerful capabilities as a simulation tool. The examples provided to illustrate the course material go beyond simple usage of MATLAB commands; they often represent real-world problems.

Objective: This training is designed for Software Engineers engaged with MBD technology. The curriculum covers modeling techniques for automotive systems, automotive standards, automated code generation, and the construction and verification of model test harnesses. Audience: Software Developers working for automotive suppliers