Early Bird Offer on Internship : Get 15% OFF | Use Code "SUMMER15"
MATLAB Programming Internship Program
Master MATLAB from fundamentals to advanced applications in signal processing, image processing, GUI development, and deep learning through hands-on industry projects. Build real-world MATLAB applications and CNN-based AI models with expert mentorship, internship certification, and portfolio-ready project experience.
Meet Your Instructor
Mr. Gaurav Verma
Expertise in MATLAB, Signal Processing, Image Processing and Deep Learning
About Program
This 6-week MATLAB Internship Program is designed for engineering students, fresh graduates, and working professionals who want to gain deep, practical proficiency in MATLAB — from core syntax and numerical computation to advanced image processing, signal analysis, and deep learning. The program covers 9 structured modules using MATLAB’s full toolbox ecosystem.
Participants will work hands-on with MATLAB’s Live Scripts, advanced plotting and graphics, user-defined functions, GUI/App Designer tools, and real-world signal and image processing pipelines. The curriculum extends into AI territory with Convolutional Neural Networks and transfer learning using pre-trained models like AlexNet and ResNet.
By the end of this program, learners will be confident building complete MATLAB applications from scratch — from data analysis scripts and interactive GUIs to CNN-based image classifiers — and will graduate with 4 industry-aligned capstone projects ready for their portfolio.
• Write clean, efficient MATLAB code using scripts, live scripts, functions, loops and error-handling structures.
• Perform advanced numerical computation including algebra, polynomial operations, differential equations and matrix manipulations.
• Create publication-quality 2D and 3D visualisations with full control over plot aesthetics and graphical methods.
• Generate, sample and analyse signals using the Nyquist-Shannon sampling theorem and standard test signals.
• Execute core image processing operations: arithmetic, geometric transforms, format conversions and optical illusion analysis.
• Design interactive GUIs and App Designer applications with event-driven callbacks and pop-up menu controls.
• Build, train and evaluate Convolutional Neural Networks for image classification using MATLAB’s Deep Learning Toolbox.
• Deliver 4 portfolio-ready capstone projects covering camera interfacing, denoising algorithms, crop disease classification and object recognition.
Module 01: Introduction to MATLAB
• MATLAB Syntax
• Live Scripts
• File Types in MATLAB
Module 02: Arithmetic Operations
• MATLAB Algebra
• Polynomials
• Differential Equations
• MATLAB Data Types
• Logical Operations
• Matrix Operations using MATLAB
Module 03: Creating User-Defined Functions
• Inline Functions
• Conditional Structures
• Loops
• Handling Errors in MATLAB Codes
Module 04: MATLAB Graphs and Graphics
• 2-D Plots
• 3-D Plots
• Function Plotters
• Plot Aesthetics
• Solving Quadratic Equations by Graphical Method
Module 05: Introduction to Signals
• Generation of Signals
• Sampling Theorem
• Test Signals
Module 06: Introduction to Image Processing
• Image Arithmetic with Examples
• Image Geometry
• Optical Illusion
• Image Conversion
Module 07: Introduction to GUI
• GUI Design Principles
• App Designer Workflow
• Event-Driven Programming
• Callbacks and Handlers
Module 08: Pop-up Menu Example
• Pop-up Menu Component Design
• Data Binding to UI Controls
• Dynamic Display Logic
• User Event Handling
Module 09: Advanced MATLAB for Image Processing
• Image Processing Pipelines
• Image Classification Techniques
• Deep Learning & Artificial Neural Networks (ANNs)
• Convolutional Neural Networks (CNNs)
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Live Training Highlights
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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
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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
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Github Profile
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LinkedIn Profile
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Resume Writing
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Soft Skills
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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
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.
Deepak Chaudhary
BlockDeep Labs
Placed at:
Internet of Things
Overall good. - Deepak chaudhary