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Master MATLAB for Engineering Applications
Master MATLAB for engineering with hands-on simulations, real-world applications, and practical problem-solving.
Meet Your Instructor

Mr. Gaurav Verma
Technical Advisor | Expertise in Matlab, IoT, FPGA, VHDL/Verilog, Spintronics and Deep learning.
About Program
Our course offers a complete foundation in MATLAB, ideal for students, hobbyists, and professionals. Designed for both MATLAB for beginners and intermediate learners, it includes practical MATLAB tutorials, real-world projects, and hands-on examples. Whether you're pursuing MATLAB for engineers, want to become a MATLAB programmer, or are exploring digital signal processing using MATLAB, this course provides everything you need.
You'll begin with an introduction to MATLAB for Windows, then cover arithmetic operations, user-defined functions, and MATLAB graphs. You'll also explore signal and image processing, MATLAB GUI development, and work on capstone projects to reinforce learning. Whether you use MATLAB online or offline, this course makes learning accessible.
Perfect for anyone searching MATLAB education, MATLAB for dummies, or "MATLAB for beginners – a gentle approach," this course equips you with practical skills for engineering analysis, research, automation, and visualization—making it ideal for mechanical engineers and technical professionals alike.
Understand the basics of MATLAB programming.
Learn arithmetic operations and matrix handling.
Create user-defined functions to automate tasks.
Plot data using 2D and 3D MATLAB graphs.
Get introduced to signal processing with MATLAB.
Learn basic image processing techniques.
Build interactive GUI applications using MATLAB.
Explore advanced tools for real-world applications.
Work on projects for hands-on experience.
Use MATLAB Online and Windows-based platforms.
Apply MATLAB in research, engineering, and analysis.
Prepare for careers in embedded systems and DSP.
Module 1: Introduction to MATLAB
● MATLAB Syntax
● Live Scripts
● File Types in MATLAB
Module 2: Arithmetic Operations
● MATLAB Algebra
● Polynomials
● Differential Equations
● MATLAB Data Types
● Logical Operations
● Matrix Operations using MATLAB
Module 3: Creating User-Defined Functions
● Inline Functions
● Conditional Structures
● Loops
● Handling Errors in MATLAB Codes
Module 4: MATLAB Graphs and Graphics
● 2D Plots
● 3D Plots
● Function Plotters
● Plot Aesthetics
● Solving Quadratic Equations by Graphical Method
Module 5: Introduction to Signals
● Generation of Signals
● Sampling Theorem
● Test Signals
Module 6: Introduction to Image Processing
● Image Arithmetic with Examples
● Image Geometry
● Optical Illusions
● Image Conversion
Module 7: Introduction to GUI Development
● Basics of MATLAB GUI
● Creating Interactive Applications
Module 8: Pop-up Menu Example
● Implementing Pop-up Menus in GUI
● Handling User Inputs
Module 9: Advanced MATLAB for Image Processing
● Image Processing Techniques
● Image Classification
● Deep Learning and Artificial Neural Networks (ANNs)
● Convolutional Neural Networks (CNNs)
Projects:
● Project 1: Camera Interfacing with MATLAB
● Project 2: Image Processing (Denoising and Filtering) Algorithm Implementation
● Project 3: Image Classification of Crop Diseases with CNN
● Project 4: Object Recognition with MATLAB
Live Training Highlights

Certificate
Certificate course in collaboration with NSDC,DPIIT

Internship
Opportunity to intern overseas

24 x 7 Support
Training with 24x7 mentor support

Mentoring & Doubt session
Personalized 1:1 mentoring

Schedule
Flexible course schedule

Salary
Assured 6 digit salary association with industry partners

LMS & RecordingAccess
Free access to Learning Resource Portal and Recordings

Live Projects
Engage in 3+ live projects and live case studies

100% Placement Support
Assistance by Industry Experts

Tools Access
Access to industry leading tools
Bonus Learning Perks

Github Profile

LinkedIn Profile

Resume Writing

Soft Skills

Mock Interview
Learning Roadmap

STEP
1
Building Strong Foundation
Build strong fundemental from scratch by experts
STEP
2
Internship Learning
Gain hands-on experience working on 3+ live projects
STEP
3
Placement Supports
Counselling of each candidate and building confidence, helping with resume building to get right career opportunity
TESTIMONIALS
See what our Learners have to say

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Ashwini Ranade
National Institute of Hydrology (NIH)
Placed at:
Data Science
Nice and well-organized course. - Ashwini Ranade

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Manisha Kumari
CISCO
Placed at:
Python Programming Internship
I recently completed my Python Programming Internship at Nation Innovation, and it was a highly enriching experience that strengthened my Python skills, coding confidence, and industry readiness through practical learning and supportive mentorship.

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Deepak Chaudhary
BlockDeep Labs
Placed at:
Internet of Things
Overall good. - Deepak chaudhary





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