Certificate in Deep Learning with PyTorch by Vskills: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

Deep learning is a modern technology that enables systems with artificial intelligence to be built that were literally impossible before. It is going to be very helpful in order to remain organised, help businesses thrive and stay on top of the market. Numerous exciting applications are currently allowed by deep learning.

PyTorch is getting popular among data science professionals. It has a clean and easy API just like Python and that will be helpful in creating neural networks much faster and easier. Candidates will be able to use PyTorch proficiently in their real world projects by the end of this Deep Learning with PyTorch programme. While pursuing this programme, candidates will be able to learn a series of tools namely, NUMPY, Cuda and others.

The course is 100 percent online and candidates can take classes at their own pace. After the completion of the course, they need to appear in an online exam to get the certificate.

Course and certificate fees

Fees information

₹ 3,499

The fee for the Deep Learning with PyTorch programme is Rs. 3,499.

Deep Learning with PyTorch programme Fees Details

Particulars	Amount
Programme fee	Rs. 3,499

certificate availability

Yes

certificate providing authority

Vskills

Who it is for

Data scientist

Certificate in Deep Learning with PyTorch is recommended to:

Job seekers who are looking for employment in IT companies and departments in PSUs and MNCs
Data science professionals
IT students and professionals

Eligibility criteria

Certification Qualification Details

To get certified for the Deep Learning with PyTorch programme, candidates are required to pass the exam. The exam will be conducted online. Candidates can attend the exam at any time from anywhere. The exam will have 50 multiple choice questions and each question will be having one mark. To pass the exam candidates must score 50 percent marks which is actually 25 marks out of 50 marks.

What you will learn

Knowledge of deep learning

After completing the Deep Learning with PyTorch programme, candidates will be learning these-

Candidates will be able to explore different tools namely, NumPy, CUDA and more.
As the programme completes, candidates will learn to use deep learning to build artificial intelligence systems.

The syllabus

Module 1

Getting Started with Pytorch

The Course Overview
Introduction to PyTorch
Installing PyTorch on Linux and Windows
Installing CUDA
Introduction to Tensors and Variables
Working with PyTorch and NumPy
Working with PyTorch and GPU
Handling Datasets in PyTorch
Deep Learning Using PyTorch

Training your First Neural Network

Building a Simple Neural Network
Loss Functions in PyTorch
Optimizers in PyTorch
Training the Neural Network
Saving and Loading a Trained Neural Network
Training the Neural Network on a GPU

Computer Vision - Cnn for Digits Recognition

Computer Vision Motivation
Convolutional Neural Networks
The Convolution Operation
Concepts - Strides, Padding, and Pooling
Loading and Using MNIST Dataset
Building the Model
Training and Testing

Sequence Models - Rnn For text Generation

Sequence Models Motivation
Word Embedding
Recurrent Neural Networks
Building a Text Generation Model in PyTorch
Training and Testing

Autoencoder - Denoising Images

Autoencoders Motivation
How Autoencoders Work
Types of Autoencoders
Building Denoising Autoencoder Using PyTorch
Training and Testing

Reinforcement Learning - Balance Cartpole using DQN

Reinforcement Learning Motivation
Reinforcement Learning Concepts
DQN, Experience Replay
The OpenAI Gym Environment
Building the Cartpole Agent Using DQN
Training and Testing

Module 2

First Stop: A Quick Introduction To Pytorch

The Course Overview
What Makes PyTorch Special?
Installing PyTorch

Sleeping Under The Stars: It's A Bird...It's A Plane...It’s A Cnn?

Problem: Detect a Specific Type of Object in an Image
Quick Win: Using a Pretrained AlexNet Model for Beaver Detection
Getting and Preparing Image Data
Building, Training, and Testing Your Model
Using Your Model to Detect Beavers and What’s Next?

Going Abroad: Language Detection For Fun And Profit With Rnn

Problem: Recognize the Language of a Specific Text
Understanding and Preparing Language Data
Building, Training, and Testing Your Model for Language Detection
Using Your Model to Detect Languages and What’s Next?

Making Friends: Lost In Translation With Lstm

Problem: Translate a Specific Text from One Language to Another
Understanding and Preparing Dataset for Language Translation
Building, Training, and Testing Your Models for Language Translation
Using Your Models for Language Translation

Getting Some Culture: Becoming A Deep Neural Picasso With Dnn

Problem: Extract Key Style Features from One Image and Use It on Another One
Preparing Images for Style Transfer
Building and Training Style Transfer Model

Admission details

Filling the form

Candidates are advised to follow the steps to apply for the Deep Learning with PyTorch programme.

Step 1: Visit the Vskills programme website.

Step 2: There will be a ‘Buy Now' button, click on it.

Step 3: Login/ sign up on Vskills. Proceed to the next step to complete the payment.

Step 4: The fee payment can be done through credit card, debit card or net banking. Registration will be successful after payment and soon candidates will receive online e-learning access.

Evaluation process

A candidate has to appear in an online exam and it is mandatory to score a minimum of 50 percent to get the certificate in Deep Learning with Python.

How it helps

Deep Learning with PyTorch programme is designed to teach deep learning technology using PyTorch. Candidates can do a lot with deep learning skills. Deep learning is modern technology, and due to its application in a number of fields, many people are doing courses on it. With this deep learning credential, candidates may create Artificial Intelligence systems on their own with Deep Learning with PyTorch programme and with artificial intelligence, they will be able to build a new profession by themselves.

Many jobs are available related to data science. Some examples of companies recruiting in data science related vacancies are Zensar, Wipro, JP Morgan Chase, Capgemini, Accenture, and Infor. Their many other multinational companies and IT companies are looking for skilled professionals.

Vskills will be helping candidates to find their dream jobs in companies like those. Vskills already has connections with big employers and recruiting agencies. CVs of certified candidates will be shared with them. With the skills learned from this Deep Learning with PyTorch programme, candidates will be achieving jobs with very attractive salaries.

FAQs

What is the eligibility criteria for the programme?

For this programme, no minimum qualification has been determined. Students, employers, employees, entrepreneurs, businessmen, housewives or retired professionals may register for this programme and be accredited.

When will I get access to e-learning?

Online e-learning access will be received soon after completing the registration.

What is the programme duration?

Candidates are required to finish the programme within one year after registering.

How many times can I write the exam?

For one registration there will only one chance.

Is there a placement assistant?

Yes. Certified candidates will get placement assistance to find jobs in top companies.

Is the placement assist free?

There is no special charge for placement assistance.

What if I want to change the exam schedule?

By paying a reschedule fee candidates can change the pre-determined schedule.

When is the exam date?

Vskills conducts the exam every month and candidates can book the exam according to their will.

Will Vskills give me a job?

Vskills provides placement assistance. Certified candidates' CVs will be shared with recruiting agencies and also with some companies.

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Certificate in Deep Learning with PyTorch

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