Description

This course is a hands-on experience to build different projects of Machine Learning for understanding mathematical concepts, Image processing, Video Processing, and Speech Processing. This course is mainly targeted for graduates who have completed or currently studying in the field of software development and working professionals who wish to explore a career in machine learning.

Pre-requisites for this course are kept as minimal as possible and the course will be self-contained. A student is expected to know at least one programming language like C/C++, Java, or any scripting language like Python/JavaScript with basics of variable declarations, loops, conditions statements in any one of the above programming language.

By taking this course, the students would be able to develop a minimum of 10 web applications or apps based on machine learning concepts like motion tracking of a live video for home robbery detection, face/eye-tracking which is now widely used in autonomous cars, image/speech processing web applications and many more.

This course stresses more on practical applications, so it will be covering the development of machine learning software, maintaining them, and also the techniques to deploy it and sell the end product completely in real-time. This course will implant creative thinking in the students as numerous case studies of companies using machine learning like Tesla, Prisma, many Andriod apps would be covered with each practical demo application throughout the course.

This is an instructor-led course with an average batch size of 5 students. In the 50 hours of Online Live training, you will get both the theoretical and practical knowledge needed to build the necessary skills. The institute’s holistic approach is stemmed to meet the long-term needs of the student and hence they provide 100% job/placement assistance with the option of seeking a trial class before the enrolment.

 

What Will I Learn?

  • Math Background Refresh, Probability Theory and Matrix and Tensor Operation
  • Introduction to computer vision, Java script and HTML api's for video Processing and Code Explanation 
  • Build NN in colab and Build NN in web Browser

Specifications

  • Free Demo
  • Learn from Experts
  • Interactive Learning
  • Missed Class Recovery
  • Instalment Facility
  • Real Time Project Work

Introduction to Neural Networks

  • Math Background Refresh
  • Probability Theory
  • Matrix and Tensor Operation
  • ANN concepts
  • Review OOPs and JAVA Programming for Practical’s

 

 AI-based web Applications

  • Review of JavaScript+HTML+CSS
  • Introducation of Tensorflow.js
  • Application of Tensorflow.js


Computer vision web applications

  • Introduction to computer vision
  • Java script and HTML api's for video Processing 
  • Code Explanation 


Image Processing Application

  • Introducation to Image processing 
  • Image processing Concepts using Python concepts
  • Image Bluring, Sharpening, Nosing and Denoising 


Speech Processing 

  • Introduction to speech Processing 
  • Mathematical concepts of Speech
  • Speech Processing using MATLAB concepts

 

Practical Project

  •  Build Neural Network from Scratch in Java from Scratch using Object-Oriented Approach


Build Neural Network in the browser using Tensorflow.js

  • Build NN in collab
  • Build NN in web Browser


Build a Motion Detection for Robbery Prevention 

  • Setup webcam in a webpage
  • Processing of Live Video 
  • Motion detection algorithm


Image Processing using Python

  • Load Image in Python/MATLAB
  • Adding Noise and denoising 
  • Making Image filter apps


Speech Processing using MATLAB

  • Load Live Speech in Python
  • Speech Enhancement and denoising application
     

Mr.Amruth A

The trainer has 5+ years of experience in the automotive industry.

The trainer is an expert in 

  • Android,
  • Linux middleware
  • Design patterns
  • Object-oriented programming
  • Unit design
  • Test automation
  • OTA for Android and Linux systems for infotainment devices in the automotive domain.

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Description

This course is a hands-on experience to build different projects of Machine Learning for understanding mathematical concepts, Image processing, Video Processing, and Speech Processing. This course is mainly targeted for graduates who have completed or currently studying in the field of software development and working professionals who wish to explore a career in machine learning.

Pre-requisites for this course are kept as minimal as possible and the course will be self-contained. A student is expected to know at least one programming language like C/C++, Java, or any scripting language like Python/JavaScript with basics of variable declarations, loops, conditions statements in any one of the above programming language.

By taking this course, the students would be able to develop a minimum of 10 web applications or apps based on machine learning concepts like motion tracking of a live video for home robbery detection, face/eye-tracking which is now widely used in autonomous cars, image/speech processing web applications and many more.

This course stresses more on practical applications, so it will be covering the development of machine learning software, maintaining them, and also the techniques to deploy it and sell the end product completely in real-time. This course will implant creative thinking in the students as numerous case studies of companies using machine learning like Tesla, Prisma, many Andriod apps would be covered with each practical demo application throughout the course.

This is an instructor-led course with an average batch size of 5 students. In the 50 hours of Online Live training, you will get both the theoretical and practical knowledge needed to build the necessary skills. The institute’s holistic approach is stemmed to meet the long-term needs of the student and hence they provide 100% job/placement assistance with the option of seeking a trial class before the enrolment.

 

What Will I Learn?

  • Math Background Refresh, Probability Theory and Matrix and Tensor Operation
  • Introduction to computer vision, Java script and HTML api's for video Processing and Code Explanation 
  • Build NN in colab and Build NN in web Browser

Specifications

  • Free Demo
  • Learn from Experts
  • Interactive Learning
  • Missed Class Recovery
  • Instalment Facility
  • Real Time Project Work
₹20,000 ₹ 20,000

Hurry up!! Limited seats only

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