Introduction to Image Processing using Matlab Training Course

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

This three-day program 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 woven throughout the curriculum. The course covers the following topics:

• Navigating the MATLAB user interface
• Inputting commands and creating variables
• Analyzing vectors and matrices
• Visualizing vector and matrix data
• Managing data files
• Handling various data types
• Automating tasks via scripts
• Developing 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 India (online or onsite) is designed for beginner-level developers or engineers who want to learn how to use numerical simulation for dynamic problems using Matlab.

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

• Grasp the fundamentals of dynamic analysis.
• Utilize Matlab to perform analytical and numerical solutions.
• Derive motion equations using various approaches.

MATLAB seamlessly integrates computation, visualization, and programming within an intuitive environment. It features the Financial Toolbox, which provides the necessary tools for conducting mathematical and statistical analysis on financial data, alongside the capability to present results through high-quality graphics.

This instructor-led training introduces participants to MATLAB for financial applications. Through hands-on exercises and extensive in-lab practice, the course covers data analysis, visualization, modeling, and programming.

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

Audience

• Financial professionals who already have experience using MATLAB

Course Format

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

Object-Oriented Programming with MATLAB for Geophysics involves leveraging MATLAB's OOP capabilities to develop structured, reusable, and maintainable code for geophysical data analysis and modeling.

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

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

• Grasp the fundamentals of object-oriented programming in MATLAB.
• Create and manipulate classes, properties, and methods tailored for geophysical data handling.
• Utilize OOP techniques to organize geophysical modeling and analysis workflows.
• Improve code reusability, scalability, and clarity for geoscience projects.

Format of the Course

• Interactive lectures and discussions.
• Ample exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Spanning two days, this course offers a thorough introduction to the MATLAB® technical computing environment. Designed for beginners and those seeking a refresher, it assumes no prior programming background or familiarity with MATLAB. Key themes such as data analysis, visualization, modeling, and programming are woven throughout the curriculum.

This course is structured to teach the core principles of the Systems Modeling Language (SysML), its application via MagicDraw/Cameo software, fundamental Model-Based Systems Engineering (MBSE) simulation techniques, and MBSE best practices. The training also aims to equip professionals with a background in architectural simulation, introduce the Simulation Toolkit plugin, demonstrate simulations across various diagram types, and show how to integrate diagram simulations to automate architectural processes.​

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

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

• Install and configure a Python development environment.
• Identify the differences and similarities between Matlab and Python syntax.
• Utilize Python to derive insights from various datasets.
• Migrate existing Matlab applications to Python.
• Integrate Matlab and Python applications.

Elevate your automotive engineering expertise through this advanced Simulink training program. This course bridges the gap between theoretical multidomain dynamic system models and practical application, utilizing Simulink/Stateflow verifiers, Reactis tools, and Matelo applications. It is specifically tailored for automotive systems engineers, control specialists, and MATLAB/Simulink professionals aiming to master complex automotive modeling. Participants will acquire hands-on proficiency in solver selection, subsystem simulation parameters, and system verification, empowering them to construct reliable, high-performance automotive control models and significantly accelerate vehicle development cycles.

This course provides comprehensive material on MATLAB as a potent simulation tool for communication systems. The primary objective is to introduce MATLAB not merely as a general-purpose programming language, but to emphasize its immense capabilities as a high-performance simulation environment. The examples presented to illustrate course material go beyond simple command usage, often representing solutions to real-world engineering problems.

Objective: This training program is designed for software engineers specializing in Model-Based Design (MBD) technology. The curriculum encompasses modeling techniques for automotive systems, adherence to automotive standards, automated code generation, and the creation and verification of model test harnesses. Audience: Software developers employed by automotive suppliers.