Artificial Intelligence and Machine learning

Learn in-demand AI & ML concepts with real-world hands-on projects.

₹11,000 to ₹4,989     56% off

Duration - 3 weeks
Placement Assistance
10+ projects
1-on-1 mentor

















When?


2 Months project work
17th August 2020

Where?


ONLINE - Save travel time

For Whom It's for?


BE/Btech/
Mtech-CSE/ECE/EEE/ISE/ME.
MCA and BCA

Course
Highlights




An integration of high end laboratory facilities, globally recognized domains and industry oriented expertise.

We have adopted a unique strategy to transform thousands of aspiring engineers with the support of industry professionals, research work, 1000+ live projects with product development exposure.

Training methodology & Delivery

Training is structured in such a way that it is focussed more on building practicle skills required for the industry. Will have online sessions on technology and mini projects as assignments.

600+ hours of skill training

This program is specially designed to build the experience by working on live projects so that student can meet employers requirement easily.

10 mini and 5 Major projects

We cover all the pre-requisites of that business model. What skills you need,what tools are needed and most importantly how much money you need to invest before getting started.

Record placements more than 95%

We have successfully nurtured careers of budding technical talent, growing high in companies like to name a few INTEL, MICROSOFT, IBM, SIEMENS, SAMSUNG, CISCO, Startups.





















Knowledge is of no value unless you put into practice.

Internship Training At Intern Gurukul.

We have adopted a unique strategy to transform thousands of aspiring engineers with the support of industry professionals

Research work
Live projects & Product development exposure
Project Reviews
Unlimited hands-on technical skills embeds professionalism
Self-reliance and strong ethical Values
Competent Industry Ready Engineers
Personal career coaching
Resume shared with 300 + employers

Intern Gurukul invites candidates aiming for promising careers in core technological domains and willing to work for product based companies, Research, innovation and start-ups.

Course Syllabus


Artificial Intelligence and Machine learning


Download Syllabus

Training is designed by industry professionals as per the industry requirements & demands.Build a solid foundation by covering the most popular & widely used artificial intelligence technologies. Complete hands-on with in-demand Tensorflow, Keras, artificial intelligence, and neural network techniques. The course has been specially curated by industry experts with real-time case studies.

Deep Learning: A revolution in Artificial Intelligence
Limitations of Machine Learning
What is Deep Learning?
Advantage of Deep Learning over Machine learning
3 Reasons to go for Deep Learning
Real-Life use cases of Deep Learning
Review of Machine Learning: Regression, Classification, Clustering, Reinforcement Learning, Underfitting and Overfitting, Optimization

How Deep Learning Works?
Activation Functions
Illustrate Perceptron
Training a Perceptron
Important Parameters of Perceptron
What is TensorFlow?
TensorFlow code-basics
Graph Visualization
Constants, Placeholders, Variables
Creating a Model
Step by Step - Use-Case Implementation

Understand limitations of a Single Perceptron
Understand Neural Networks in Detail
Illustrate Multi-Layer Perceptron
Backpropagation – Learning Algorithm
Understand Backpropagation – Using Neural Network Example
MLP Digit-Classifier using TensorFlow
TensorBoard

Why Deep Networks
Why Deep Networks give better accuracy?
Use-Case Implementation on SONAR dataset
Understand How Deep Network Works?
How Backpropagation Works?
Illustrate Forward pass, Backward pass
Different variants of Gradient Descent
Types of Deep Networks

Introduction to CNNs
CNNs Application
Architecture of a CNN
Convolution and Pooling layers in a CNN
Understanding and Visualizing a CNN

Introduction to RNN Model
Application use cases of RNN
Modelling sequences
Training RNNs with Backpropagation
Long Short-Term memory (LSTM)
Recursive Neural Tensor Network Theory
Recurrent Neural Network Model

Restricted Boltzmann Machine
Applications of RBM
Collaborative Filtering with RBM
Introduction to Autoencoders
Autoencoders applications
Understanding Autoencoders

Define Keras
How to compose Models in Keras
Sequential Composition
Functional Composition
Predefined Neural Network Layers
What is Batch Normalization
Saving and Loading a model with Keras
Customizing the Training Process
Using TensorBoard with
Use-Case Implementation with Keras

Define TFLearn
Composing Models in TFLearn
Sequential Composition
Functional Composition
Predefined Neural Network Layers
What is Batch Normalization
Saving and Loading a model with TFLearn
Customizing the Training Process
Using TensorBoard with TFLearn
Use-Case Implementation with TFLearn

Music recommendation based on face emotion recognition
Hand gesture recognition for physically challenged people.
Lung Cancer detection using Convolution neural network
Fruit Detection & calorie estimation using AI
Bird classification using neural Network
Paddy crop disease detection using CNN

Project Details


Wild animal intrusion detection using Deep Neural Networks for smart farm land.



Here we identify different animal using Deep Learning Technique. The system having possible number of dataset taken into cnn model using VGGNet architecture with a data processing to recognize the output is specified wild animal or not

Transcribed Numeral Recognition Using CNN



We are developing a Machine Learning project to find the hand written or transcribed digits. We are using KNN, SVM, RFC and CNN algorithms to recognize the MNIST digits. We are using UI to execute this project.

A Chat bot application for industries to support and scale business using flask framework.



This project builds a bot which is capable of answering intelligently for customer related queries or questions with respect to the products industries are dealing with. Bot has to be trained on frequently asked question by customers which can be answered with out any human intervention. This helps in providing customer services even when industries working hours are over.

Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications.



We are developing a Machine Learning project to predict fire detection using video surveillance using jupyternotebook. We are using Deep Neural Network algorithms for fire detection.

Cost:  4,989/-Enroll Now


20+ AMAZING Industry Experts and Mentors



Testimonials



Our Intern's placed


                                                                                                                                                                                                                                                                                                                                                                                                                                                       

Knowx Inovation offers best internship for ece & cse aspirants who are pursuing B.E & is open up for students from II sem to VIII sem. Internship in AI will build a solid foundation by covering the most popular & widely used artificial intelligence technologies. Complete hands-on, in-demand ai tools like Tensorflow, Keras, artificial intelligence, and neural network techniques. On completion of Ai internship program at Knowx you will be able to build ai projects on your own which will enhance your technical skills & also have better impact on building a career profile.