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Quick Facts

Medium Of InstructionsMode Of LearningMode Of DeliveryFrequency Of Classes
EnglishSelf Study, Virtual ClassroomVideo and Text BasedWeekends

Course Overview

The ‘Deep Learning using TensorFlow’ online course is offered by the online education provider platform ‘Edu Plus Now’ which in association with the Indian Statistical Institute in Pune provides the certification in this program. The course is aimed at individuals interested in learning about the strategies in deep learning with the help of the software tool called TensorFlow and the classes are scheduled online on the weekends and will take thirty-six hours to complete the training.

The online training is provided by the faculty who are professionals from the industry and the course curriculum consists of lectures and industrially relevant projects that help the students gain hands-on experience while implementing the theoretical knowledge acquired during the course study. 

In this ‘Deep Learning using TensorFlow’ course by Eduplusnow, the students will explore deep learning with the training on Keras and TensorFlow and will improve their understanding of the concepts of neural networks.

The Highlights

  • Online mode
  • Interactive virtual learning
  • Expert faculty
  • Indian statistical institute certification
  • Placement support

Programme Offerings

  • course videos
  • Lectures
  • Recordings
  • Projects
  • Professional educators
  • job assistance
  • Course completion certificate
  • Industrially relevant Curriculum
  • live sessions

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesedu plus now

The course on ‘Deep Learning using TensorFlow’ by Eduplusnow is available for the students during the weekends and they can access the course by paying the course amount as following,

Deep Learning using TensorFlow fee structure

HeadAmount in INR

Course Fee

Rs. 25000 + GST


Eligibility Criteria

Certificate qualifying details

After the completion of the ‘Deep Learning using Tensorflow’ online training, the students will be awarded the course completion certificate from Eduplusnow.

What you will learn

Knowledge of deep learningMachine learningData science knowledgeStatistical skillsPredictive Modeling knowledgeProblem Solving Ability

The ‘Deep Learning using Tensorflow’ classes enable the candidates to gain knowledge about deep learning techniques which is a category of the larger section called machine learning. With the aid of artificial neural networks(ANN) and deep learning algorithms, the learners will be able to sort the volumes of data. The students will learn how the concepts of deep learning for machines help in solving the problems related to unstructured, interwoven, and varied kinds of data. The Deep Learning using Tensorflow syllabus equips students with knowledge about ANN, convoluted neural networks(CNN), Recurrent neural networks(RNN), Pytorch, and autoencoders along with the skills to construct deep learning models and decipher results.


Who it is for

The ‘Deep Learning using TensorFlow’ certification course is aimed at individuals who are interested in developing their skills in deep learning techniques using the TensorFlow software tools. After the completion of this program, the students can aspire for job opportunities as data scientists, deep learning engineers, and machine learning engineers.


Admission Details

The registration for the ‘Deep Learning using TensorFlow’ online certification program is done through the official website of Eduplusnow.

Step 1: Get to the course page on the Eduplusnow website using the link below, https://www.eduplusnow.com/course-details/certificate-course-in-deep-learning-using-tensorflow

Step 2: Select the enroll now link found on the page.

Step 3: Enter the required information to finish the registration.

Application Details

The candidates who wish to apply for the ‘Deep Learning using TensorFlow’ online course are required to fill in the enrolment form with their name, phone number, and email address.

The Syllabus

Introduction to deep learning
  • What is a neural network?
  • Introduction to Tensorflow and Keras
  • Supervised Learning with Neural Networks
  • Difference between Deep Learning and Machine Learning

Introduction to TensorFlow
  • Introduction to Tensorflow and Keras
  • TensorFlow’s Hello World
  • Linear and Logistic Regression With Tensorflow
  • Activation Functions

ML Algorithm
  • Regression problems
  • Linear regression applications

TensorFlow layer models
  • Basic Neural Nets
  • Single Hidden Layer Model
  • Multiple Hidden Layer Model

Introduction to Convolutional Neural Networks
  • CNN Architecture
  • Understanding Convolutions
  • CNN with MNIST Dataset
  • Introduction to RNN, LSTM, GRU

Recurrent Neural Networks
  • The Sequential Problem,
  • The RNN Model
  • The LSTM Model
  • Applying RNNs to Language Modeling
  • LTSM Basics
  • MNIST Data Classification With RNN/LSTM
  • Hands-on Deep
  • Learning Application with TensorFlow
  • Example Application - Case study
  • Model Deployment on AWS Cloud
  • Discussing real-time examples in Deep Learning.

Indian Statistical Institute, Pune Frequently Asked Questions (FAQ's)

1: Which online provider platform offers the ‘Deep Learning using TensorFlow’ certification course?

Eduplusnow is the online education platform that offers the certification in partnership with the Indian Statistical Institute in Pune.

2: What is the duration of the ‘Deep Learning using TensorFlow’ online program?

The course is scheduled on the weekends and will take 36 hours to complete.

3: Will I get a certificate after completing the ‘Deep Learning using TensorFlow’ online course?

Yes, the students will get a certificate from Eduplusnow after completing the training.

4: Are projects a part of the ‘Deep Learning using TensorFlow’ course curriculum?

Yes, the learners get an opportunity to work on valuable projects during the course study.

5: What are the eligibility criteria for the ‘Deep Learning using TensorFlow’ training program?

There is no mandatory prerequisite for this training.

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