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Matlab Training

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Matlab can be used for various tasks ranging from – Data Analysis and Visualization, Algorithm Development and Optimization to Machine Learning and Artificial Intelligence etc, which is why Matlab is one of the most used tools in IT applications. Our Matlab Training Institute has the most up-to-date syllabus and modern infrastructure, along with experienced trainers as well. Therefore, our Matlab Course will give students a holistic learning of Matlab, which will eventually give them a prolonged, high-paying career in Matlab as a Data Scientist and so on. So go ahead and explore more down below to get all the information you need about our Matlab Course with certification & placements.

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DURATION
Real-Time Location Services
2 Months
Mode
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Live Online & Classroom Training
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What this Course Includes?

  • Technology Training
  • Aptitude Training
  • Learn to Code (Codeathon)
  • Real Time Projects
  • Learn to Crack Interviews
  • Panel Mock Interview
  • Unlimited Interviews
  • Life Long Placement Support

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Course Schedules

Course Syllabus

Course Fees

CRM System Testing

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Breakdown of Matlab Training Fee and Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
May 2025
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
May 2025
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Syllabus of Matlab Training

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Introduction
  • Basic of MATLAB
  • Types of Window
  • Types of File
  • Basic Operations
Matrix (Array Design)
  • Matrix Operation
  • Array Design
  • Array Operation
  • Multidimensional Array
Graphics
  • Plotting
  • Multiple Plot
  • 2-D Plot
  • 3-d Plot
  • Subplot
  • Handle Graphics
  • Animation
  • Example(like a project)
Symbolic Calculation
  • Symbols
  • Design Formula
  • Differentiation
  • Integration
  • Solve Equation
  • Example(like a project)
Publishing Report
  • Publishing Report
  • Design HtmlFile,Pdf,Word,PPT
  • Import Export
  • Example(like a project)
Operators
  • Arithmetic Operator
  • Logical
  • Relational
Branch and Loop
  • If statement
  • If-else statement
  • Else-if statement
  • Pause,Break,Continue,Switch-case,try-catch,Return Statement
  • For Loop,While Loop
  • Example(like a project)
Script and Function
  • Script Design
  • Function Design
  • Types Of Function
  • Example(like a project)
GUI (Graphical User Interface)
  • Introduction Of GUI
  • GUI Function Property
  • GUI Component Design
  • GUI Container
  • Writing the code of GUI Callback
  • Dialog Box
  • Menu Designing
Introduction Of image Processing
  • Designing of Projects
  • Application
Simulink
  • Introduction Of Simuling
  • Study of Library
  • Circuit Oriented Design
  • Equation Oriented Design
  • Connectivity
  • Model
  • Subsystem Design
  • Connect Call back to subsystem
Error, Warning, Menu
  • Cell, Structure
  • Character String
Application
  • Ode
  • ELG
Solveand Design Electrical System
  • Design rlc circuit
  • rectifier

Objectives of Learning Matlab Training

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The Matlab Training will cover all the topics ranging from fundamental to advanced concepts, which will make it easy for students to grasp Matlab. The Matlab Course Curriculum is composed of some of the most useful and rare concepts that will surely give students a complete understanding of Matlab as well. So, some of those curriculum are discussed below as objectives:

  • To make students well-versed with fundamental Matlab concepts like – Matrix (Array Design), Graphics, Symbolic Calculation, Publishing Report, Operators etc.
  • To make students more aware of Matlab by making them learn about topics like – Script and Function, Image Processing, Graphical User Interface,  etc.
  • To make students more knowledgeable with advanced Matlab concepts like – Simulink, Error, Warning, Menu, Application, Solve and Design Electrical System etc.

Reason to choose SLA for Matlab Training

  • SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
  • Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
  • Instructor led Online and Offline Training. No recorded sessions.
  • Gain practical Technology Training through Real-Time Projects.
  • Best state of the art Infrastructure.
  • Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
  • In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
  • Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
  • Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
  • Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
  • Panel Mock Interviews
  • Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
  • Unlimited Interview opportunities until you get placed.
  • 1000+ hiring partners.
  • Enjoy Lifelong placement support at no cost.
  • SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
  • Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Want to Speak to our Trainer about Matlab Training?Request a Free Callback

Highlights of The Matlab Training

What is Matlab?

MATLAB, developed by MathWorks, is a high-level programming language and environment for numerical computing and algorithm development. Renowned for its matrix operations, it offers powerful tools for data analysis, visualization, and algorithm development. MATLAB is widely used across engineering, science, and finance for its extensive built-in functions and integration capabilities.

What is Matlab Full Stack?

MATLAB Full Stack includes a comprehensive suite of tools for numerical computation, algorithm development, and application deployment. Key components are the MATLAB language, various toolboxes, Simulink for model-based design, App Designer for GUI development, MATLAB Compiler for application deployment, and support for online, data acquisition, parallel computing, and database integration.

What are the reasons for learning Matlab? 

The following are the reasons for learning Matlab:

  • Advanced Mathematical Computations: MATLAB excels at handling complex mathematical operations and simulations, making it well-suited for tasks involving matrix calculations, algebra, and numerical analysis.
  • Comprehensive Data Visualization: It offers robust tools for generating various plots and graphs, helping users effectively visualize and interpret data.
  • Specialized Toolboxes: MATLAB includes a variety of toolboxes for specialized applications like machine learning, image processing, control systems, and signal processing, enabling targeted problem-solving.
  • Rapid Algorithm Development: Designed for fast prototyping and algorithm development, MATLAB’s high-level syntax supports iterative testing and refinement.
What are the prerequisites for learning Matlab?

The following are the prerequisites for learning Matlab, but they are not mandatory:

  • Fundamental Mathematics: Proficiency in algebra, calculus, and linear algebra is important, as MATLAB is extensively used for mathematical computations.
  • Basic Programming Concepts: Familiarity with core programming concepts like variables, loops, conditionals, and functions is advantageous. While prior experience with programming languages is helpful, MATLAB’s syntax is user-friendly.
  • Linear Algebra Knowledge: Understanding linear algebra, including matrices and vectors, is crucial since MATLAB specializes in matrix operations.
  • Basic Statistics and Data Analysis: Knowledge of basic statistics and data analysis techniques is useful, as MATLAB is frequently employed for processing and visualizing data.
What are the course fees and duration?

Our Matlab Course Fees may vary depending on the specific course program you choose (basic / intermediate / full stack), course duration, and course format (remote or in-person). On an average the Matlab Course Fees range from 25k to 30k, for a duration of 2 months total with international certification.

What are some of the jobs related to Matlab?

The following are the jobs related to Matlab:

  • Data Scientist
  • Systems Engineer
  • Software Developer
  • Research Scientist
  • Control Systems Engineer
  • Signal Processing Engineer
List a few real time Matlab applications.

The following are the real-time Matlab applications:

  • Autonomous Vehicles
  • Real-Time Data Acquisition
  • Control Systems
  • Communication Systems
  • Medical Imaging
  • Signal Processing

Who are our Trainers for Matlab Training?

Our Mentors are from Top Companies like:
  • Our trainers bring over a decade of extensive experience in MATLAB, providing certified instruction and advanced training. 
  • They excel in delivering flexible, reliable training solutions across the full MATLAB suite, including MATLAB, Simulink, and various specialized toolboxes.
  • With deep expertise in developing graphical programs and algorithms, they have led numerous workshops for software engineers and students, offering a thorough introduction to MATLAB’s complexities and its application in various engineering fields.
  • They focus on teaching problem-solving techniques, hands-on experience, and real-time application development, ensuring accurate guidance for visualization and high-performance computation.
  • Known for their technical problem-solving skills, they are adept at analyzing and visualizing complex data from MATLAB. 
  • They rapidly adopt new technologies, devise innovative solutions, and excel in both theoretical and practical MATLAB programming. 
  • Capable of training individuals or groups of any size, they are committed to meeting training objectives and facilitating successful student placements.
Want to Speak to our Trainer about Matlab Training?Request a Free Callback

What Modes of Training are available for Matlab Training?

Offline / Classroom Training

A Personalized Learning Experience with Direct Trainer Engagement!
  • Direct Interaction with the Trainer
  • Clarify doubts then and there
  • Airconditioned Premium Classrooms and Lab with all amenities
  • Codeathon Practices
  • Direct Aptitude Training
  • Live Interview Skills Training
  • Direct Panel Mock Interviews
  • Campus Drives
  • 100% Placement Support
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Online Training

Interactive Quiz Website
Instructor Led Live Training! Learn at the comfort of your home
  • No Recorded Sessions
  • Live Virtual Interaction with the Trainer
  • Clarify doubts then and there virtually
  • Live Virtual Interview Skills Training
  • Live Virtual Aptitude Training
  • Online Panel Mock Interviews
  • 100% Placement Support
Explore Online Courses

Corporate Training

Blended Delivery model (both Online and Offline as per Clients’ requirement)
  • Industry endorsed Skilled Faculties
  • Flexible Pricing Options
  • Customized Syllabus
  • 12X6 Assistance and Support
Explore Offline Courses
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Certifications

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Improve your abilities to get access to rewarding possibilities
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Get an IBM certification through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.

Project Practices for Matlab Training 

Robotics and Autonomous Systems

Develop algorithms for navigation, path planning, or autonomous control of robots or drones. Create, simulate, and test robotic systems and control strategies using MATLAB and Simulink.

Optimization Challenges

Address complex optimization problems such as resource allocation, scheduling, or network design. Use MATLAB’s Optimization Toolbox to formulate and solve these problems, and analyze the results.

Engineering System Simulations

Model and simulate various engineering systems, including electrical circuits, mechanical systems, or fluid dynamics. Utilize Simulink along with MATLAB to create models, run simulations, and analyze system performance.

Machine Learning Implementation

Develop a machine learning model to classify data or make predictions based on various datasets, such as images or other analytical data. Use MATLAB’s Machine Learning Toolbox to preprocess data, train models, and assess performance.

Real-Time Data Acquisition

Design a system to collect and analyze real-time data from sensors for applications such as environmental monitoring or health diagnostics. Apply MATLAB’s Data Acquisition Toolbox to interface with hardware, gather data, and perform analysis.

Financial Analysis and Modeling

Build a financial model to forecast stock prices or evaluate risks using historical data and statistical methods. Employ MATLAB’s Financial Toolbox for time-series analysis, predictive modeling, and data visualization.

Design of Control Systems

Design and simulate a control system for devices such as robotic arms or drones, incorporating PID control and response analysis. Model the system, develop controllers, and simulate behaviors using MATLAB and Simulink.

Audio Signal Processing

Create a system for filtering and analyzing audio signals to identify patterns, reduce noise, and detect anomalies. Use MATLAB’s Signal Processing Toolbox to perform Fourier transforms, design filters, and analyze signals.

Image Enhancement and Filtering

Develop a tool to enhance and process images using techniques like edge detection, noise reduction, and contrast adjustment. Utilize MATLAB’s Image Processing Toolbox to apply filters, analyze image features, and visualize outcomes.

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The SLA way to Become
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Technology Training

Coding Practices
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Aptitude Training
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Placement Support for a Matlab Training

Genuine Placements. No Backdoor Jobs at Softlogic Systems.

Free 100% Placement Support

Aptitude Training
from Day 1

CRM System Testing

Interview Skills
from Day 1

Softskills Training
from Day 1

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Build your LinkedIn Profile

Build your GitHub
digital portfolio

Panel Mock Interview

Unlimited Interviews until you get placed

Life Long Placement Support at no cost

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FAQs for
Matlab Training

MATLAB is tailored for numerical analysis and matrix operations, offering extensive built-in functions for engineering and mathematical tasks. Python is a versatile language with libraries such as NumPy and SciPy for numerical work, while R is focused on statistical analysis and data visualization. MATLAB excels in specialized domains with its comprehensive toolboxes and functions.

MATLAB is equipped with advanced data structures and memory management techniques for handling large datasets. It includes commands like clear to free up memory and pack to optimize memory usage. For extensive computations, the Parallel Computing Toolbox enables MATLAB to leverage multiple processors or cores.

MATLAB is extensively used for signal processing tasks, including filtering, spectral analysis, and signal modeling. It provides tools and toolboxes for designing filters, executing Fourier transforms, analyzing frequency components, and simulating signal processing systems.

MATLAB integrates with hardware through the Data Acquisition Toolbox and Instrument Control Toolbox, facilitating communication with sensors and data acquisition systems. It supports real-time data collection and control with functions and APIs designed for interaction with external devices.

Simulink enhances MATLAB by providing a graphical interface for model-based design. It allows users to construct, simulate, and analyze complex systems using block diagrams. The integration with MATLAB enables seamless algorithm development, system behavior analysis, and simulation.

MATLAB supports machine learning through the Machine Learning Toolbox, offering capabilities for data preprocessing, feature extraction, and model training. It includes algorithms for classification, regression, clustering, and deep learning, and integrates with various data analysis functions for exploratory and visual analysis.

MATLAB toolboxes are specialized collections of functions designed for specific applications, such as image processing, control systems, or financial analysis. They extend MATLAB’s functionality by providing pre-built algorithms and functions tailored to particular areas, enhancing productivity and enabling complex analysis.

To develop custom functions in MATLAB, you write function files with a .m extension. These files define the function name, input parameters, and output results. Custom functions help organize and reuse code, making complex operations simpler. They are called in the same way as built-in functions, with inputs and outputs specified.

The corporate office of the Softlogic Systems is located at the institute’s K.K.Nagar branch.

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  • Credit cards (MasterCard, Visa, Maestro)
  • Net banking
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  • Including EMI.

Additional Information for
Matlab Training

The following are the scopes available in the future for learning Matlab Course:

Advanced Data Science: As data-driven decision-making grows, MATLAB’s strength in data analysis, machine learning, and predictive modeling will remain crucial for handling complex data and large-scale analytics.

Machine Learning and AI: With advancements in AI and machine learning, MATLAB’s tools for developing and deploying algorithms will be essential for creating sophisticated models and integrating AI into various applications.

Real-Time Systems and IoT: MATLAB’s real-time data handling and hardware interfacing capabilities will be key for developing IoT solutions and real-time monitoring systems, including smart sensor networks and industrial automation.

Robotics and Autonomous Systems: MATLAB’s synergy with Simulink and control system tools will drive innovation in robotics and autonomous technologies, focusing on algorithm development and simulation of robotic and autonomous systems.

Simulations and Prototyping: MATLAB’s role in virtual prototyping and system simulations will expand, particularly for engineering and scientific research, facilitating detailed modeling and testing of complex systems.

Finance and Risk Analysis: In finance, MATLAB will continue to support financial modeling, risk assessment, and algorithmic trading, with future enhancements aimed at improving predictive accuracy and strategy optimization.

Biomedical Engineering: MATLAB’s applications in biomedical fields, including medical image processing and health data analysis, will grow, benefiting innovations in healthcare technology and personalized medicine.

Educational Technology: MATLAB will remain a valuable educational tool for teaching computational and engineering concepts, with potential for developing new educational software and research aids.

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Matlab Training

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