The Complete MATLAB Mastery From a Beginner to an Expert

Become a Matlab Programmer in the field of Electronics & IT Technology

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Enhance Your Skills with MATLAB

Become a Matlab Programmer

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NOTE: Enroll before 13th APR to get this Discount Course Offer with all the Bonus Features.

Why You Should Learn Matlab?

Highest Salaries

Reduce Your Design Time

Technopreneurship

Suitable for ECE/IT/CSC

Modules Covered in this Course

Computer Vision

Neural Network

Fuzzy Logic

Neuro Fuzzy

Augmented Realitiy

Machine Learning

Deep Learning

Speech Processing

Image Processing

Video Processing

Bonuses You Can Get If You Enroll On/Before 13th APRIL

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Complete Course Fee

3499 999
  • 40+ Hours Video Lectures
  • 15+ Capstone Projects Hands-on
  • 20+ Source Code Downloads
  • Lectures on Image Processing, Video Processing, Machine Learning, Deep Learning, Computer Vision, Augmented Reality,Fuzzy Logic, Neuro Fuzzy, etc...
  • 2 Internship Certificates
  • Lifetime Private Community
  • Weekly Q&A (6 Months)
  • Course Validity: 1 Year
  • Get Internship Certificate on Completion

Recent Success Stories Of Our Learners

For Whom this course is ?

No Prior Coding Experience Required.

Let's Talk About Numbers

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Products (College & Industry Kits)
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Years Experience
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Google reviews

Meet the Course Designer

M K Jeeva Rajan

Expertise

Microcontroller Architecture: 8051,PIC,AVR,ARM,MSP430,PSOC3
DSP Architecture: Blackfin,C2000,C6000,21065L Sharc
FPGA: Spartan,Virtex,Cyclone
Image Processing Algorithms: Image/Scene Recognition, Machine Learning, Computer Vision, Deep Learning, Pattern Recognition, Object Classification, Image Retrieval, Image enhancement, and denoising.
Neural Networks : SVM,RBF,BPN
Cryptography :RSA,DES,3DES,Ellipti curve,Blowfish,DiffIe Hellman
Compilers: Keil,Visual DSP++,CCS, Xilinx Platform studio,ISE, Matlab, Open CV
Digital Marketing Skills:
Specialized in Analytics, CRO, Content Marketing, Email Marketing, landing page optimization, mobile optimization, persona marketing, customer experience, Ecommerce optimization, emotional conversion optimization, growth, branding, user acquisition, marketing strategies

Complete Course Curriculum

( Everything Covered From Basics )

Matlab Master Class

In this section. We have covered up The basics of matlab .Difference between mfile editor and live editor . How the tool works. How to write a if loop. How to write a while loop and how to write a Switch case statement.And how to Create functions.How to keep break points ,how to save and load the variable .

In this section. We have covered up, How to read different types of images? How to resize image? Store image. And how to split the Planes Of an RGB image. And how to add noise to image? How to apply filter to the image .

In this section we have covered up, how to read videos, how to convert video to frames. How to convert frames back again to the video? We have also covered up a simple filtering application to video.

In this section we have covered up. Different types of Medical Image acqusition techniques. On how MATLAB plays a major role on medical Image processing.

In this section we have covered up. How to design your own graphic user interface using MATLAB.

In this section. We have Covered up how to design your own apps using APP Designer matlab.

In this section. We have covered up the computer vision toolbox. We have covered up applications like face detection , optical character recognition and barcode recognition.

In this section. We have covered a how fuzzy logic works. What are the types of fuzzy logic? What is membership function. How to implement Traffic light system using fuzzy logic MATLAB

In this section. we have covered up ,What is neural network? How it works? How to create a simple neural network using MATLAB.

In this section we have covered up. What is machine learning? Types of machine learning algorithm, And how machine learning works? Simple Flower classification using MATLAB.

In the. We have covered up. What is deep learning? How deep learning works ? What are the types of deep learning algorithms? And what is transfer learning? How to build a simple Deep Learning network from scratch.

In this section we have covered up Neuro fuzzy design using Matlab. How to implement a simple classification program using neuro fuzzy

In this section. We had covered up. The basics of image segmentation. How Segmentation works. How to use Segmenter app. How to do Simple graph cut segmentation.

In this section we have covered up. The basics of image compression. How image compression Works? And a simple image compression algorithm using run length coding.

In this section, We have covered up Different Feature extraction technique for image processing using matlab

In this section we have covered up. How to do a simple face recognition using MATLAB

In this section we have covered up Surf features based real-time object detection using Matlab

In this section we have covered up how to apply a simple Denoising algorithm to a noisy image

In this section we have covered up how to download Matlab programs to Arduino using Arduino support package Matlab

In this section we have Covered up various Image quality metrics for performance analysis of image processing algorithms using Matlab

In this section we have covered up, How Steganography works ,how to implement as simple Steganography using LSB Algorithm

In this section we have covered up a simple application using augmented reality Matlab

In this Section we have covered up how to download Matlab programs to raspberry pie using Matlab

In this section we have covered up How to run Matlab programs on jetson nano

In this section we have covered up audio steganography using matlab

In this Section we have covered up speaker recognition using matlab

In this section we have covered up RSA Algorithm using Matlab

In this section we have covered up Iot using Thingspeak platform matlab

In this section we have covered up Iot using SLAM using Matlab

In this section we have covered up How to do semantic segmentation using matlab

AI Master Class uisng Matlab

In this section. We have covered up The basics of AI and matlab .Difference between mfile editor and live editor . How the tool works. How to write a if loop. How to write a while loop and how to write a Switch case statement.And how to Create functions.How to keep break points ,how to save and load the variable .

In this section. We have covered up, How to read different types of images? How to resize image? Store image. And how to split the Planes Of an RGB image. And how to add noise to image? How to apply filter to the image .

In this section. We have covered up the computer vision toolbox. We have covered up applications like face detection , optical character recognition and barcode recognition.

In this section. we have covered up ,What is neural network? How it works? How to create a simple neural network using MATLAB.

In this section, We have covered up Different Feature extraction technique for image processing using matlab

In this section we have covered up. What is machine learning? Types of machine learning algorithm, And how machine learning works? How SVM Works and how to use classification learner app.

In this section we have covered up. What is KNN , how KNN works? how to use classification learner app for KNN.

In the. We have covered up. What is deep learning? How deep learning works ? What are the types of deep learning algorithms? And what is transfer learning? How to build a simple Deep Learning network from scratch.

In the. We have covered up.What is supervised learning and how to implement supervised and Transfer learning in Matlab.
We have provided an example for Transfer learning using Alexnet CNN.

In the. We have covered up.What is unsupervised learning and how to implement usupervised learning in Matlab.
We have provided an example for K means based clustering technique for learning.

In this section we have covered up. How to do a simple face detection using RCNN Matlab

In this section we have covered up How to do semantic segmentation using matlab

In this section we have covered up Introduction to reinforcement learning

In this example we have covered up how to deploy AI algorithms on Jetson Nano.

What are you waiting for ?

Start Your Matlab Programmer Journey Now

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NOTE: Enroll before 13th APR to get this Discount Course Offer with all the Bonus Features.

Get Certificate Upon Completion

Frequently Asked Questions

  • People are facing problem in the field of learning. A problem such as Not application basis, not interactive, not result-oriented, not hands-on, not precise, etc. these problems were solved in our new methodology of learning “Application-based Learning”
  • You will be part of a Technical private community that delivers Technical skills, soft skills, Mindset, to the Membership
  • You will get the latest interview Q&A mail and also information about jobs and we will keep you motivated!

We are providing Job announcements and guidance to get Job including technical skills and soft skills

This course has been designed to keep beginners in mind. You will be able to learn as we start from the basics. We have many learners doing this course who had no prior coding experience.

Course validity is 6 months, the reason for not giving the course for a lifetime is We no need number of course registration, we need course completion. As per the human mindset, whenever we have a deadline, we are used to completing the task faster than without a deadline. This is a proper mindset

But You gonna get Lifetime Validity for the Private Community

Enhance Your Skills with MATLAB

Become a Matlab Programmer

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NOTE: Enroll before 13th APR to get this Discount Course Offer with all the Bonus Features.
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