PyTorch, A Python Library - Deep learning platform Course

(5.0) G 4.5/5 f 4.5/5
Course Duration

5 Days

Live Project

02

Certification

Industry recognized

Training Format

Online/Classroom/Corporate

images

8000+

Certified Learners

15+

Years Avg. faculty experience

40+

Happy Clients

4.5/5.0

Average class rating

About PyTorch, A Python Library - Deep learning platform Course


We offer a comprehensive Master’s program in Artificial Intelligence to become a certified Artificial Intelligence Engineer. This Artificial Intelligence certification program gives training on the skills required to become a successful Artificial Intelligence Engineer. Throughout this exclusive AI online course, you'll master Deep Learning, Machine Learning, and the programming languages required to excel in this domain which will be very helpful for you to kick-start your career in Artificial Intelligence.

What you'll learn


Effectively wield PyTorch, a Python-first framework, to build your deep learning projects

Master deep learning concepts and implement them in PyTorch

Requirements


You need to know basic python such as lists, dictionaries, loops, functions and classes

You need to know basic differentiation

You need to know basic algebra

Who this course is for:


Anyone who wants to learn deep learning

Deep learning researchers using other frameworks like TensorFlow, Keras, Torch, and Caffe

Any python programmer

Instructor-led, Live & Interactive Sessions


Duration
Mode
Level
Batches
Price
8 to 12 Hors (Approx)
Online (Instructor-led)
Advance
Public batch

24,999/-

8 to 12 Hors (Approx)
Videos (Self Learning)
Advance
Public batch

4,999/-

5 Days
Corporate (Online/Classroom)
PyTorch, A Python Library
Corporate Batch
Contact US

How we prepare you


Artificial Intelligence

Upon completion of this program you will get 360-degree understanding of Machine Learning. This course will give you thorough learning experience in terms of understanding the concepts, mastering them thoroughly and applying them in real work environment.

Hands-on experience in a live project

You will be given industry level real time projects to work on and it will help you to differentiate yourself with multi-platform fluency, and have real-world experience with the most important tools and platforms.


Unlimited Mock Interview and Quiz Session

As part of this, You would be given complete interview preparations kit, set to be ready for the Machine Learning. This kit has been crafted by 200+ years industry experience and the experiences of nearly 10000 DevOpsSchool's Machine Learning learners worldwide.

Agenda of the PyTorch, A Python Library - Deep learning platform Course Download Curriculum


  • Introduction of Artificial Intelligence
  • Data Science & Python
  • Machine Learning
  • Deep Learning
  • Natural Language processing(NLP)
  • Decoding Artificial Intelligence
  • Fundamentals of Machine Learning and Deep Learning
  • Machine Learning Workflow
  • Performance Metrics

Introduction

  • Introduction

Software Requirements

  • CPU Software Requirements
  • CPU Installation of PyTorch
  • PyTorch with GPU on AWS
  • PyTorch with GPU on Linux
  • PyTorch with GPU on MacOSX

PyTorch Fundamentasl: Matrices

  • Matrix Basics
  • Seed for Reproducibility
  • Torch to NumPy Bridge
  • NumPy to Torch Bridge
  • GPU and CPU Toggling
  • Basic Mathematical Tensor Operations
  • Summary of Matrices

PyTorch Fundamentals: Variables and Gradients

  • Variables
  • Gradients
  • Summary of Variables and Gradients

Linear Regression with PyTorch

  • Linear Regression Introduction
  • Linear Regression in PyTorch
  • Linear Regression From CPU to GPU in PyTorch
  • Summary of Linear Regression

Logistic Regression with PyTorch

  • Logistic Regression Introduction
  • Linear Regression Problems
  • Logistic Regression In-depth
  • Logistic Regression with PyTorch
  • Logistic Regression From CPU to GPU in PyTorch
  • Summary of Logistic Regression

Feedforward Neural Network with PyTorch

  • Logistic Regression Transition to Feedforward Neural Network
  • Non-linearity
  • Feedforward Neural Network in PyTorch
  • More Feedforward Neural Network Models in PyTorch
  • Feedforward Neural Network From CPU to GPU in PyTorch
  • Summary of Feedforward Neural Network

Convolutional Neural Network (CNN) with PyTorch

  • Feedforward Neural Network Transition to CNN
  • One Convolutional Layer, Input Depth of 1
  • One Convolutional Layer, Input Depth of 3
  • One Convolutional Layer Summary
  • Multiple Convolutional Layers Overview
  • Pooling Layers
  • Padding for Convolutional Layers
  • Output Size Calculation
  • CNN in PyTorch
  • More CNN Models in PyTorch
  • CNN Models Summary
  • Expanding Model's Capacity
  • CNN From CPU to GPU in PyTorch
  • Summary of CNN

Recurrent Neural Networks (RNN)

  • Introduction to RNN
  • RNN in PyTorch
  • More RNN Models in PyTorch
  • RNN From CPU to GPU in PyTorch
  • Summary of RNN

Long Short-Term Memory Networks (LSTM)

  • Introduction to LSTMs
  • LSTM Equations
  • LSTM in PyTorch
  • More LSTM Models in PyTorch
  • LSTM From CPU to GPU in PyTorch
  • Summary of LSTM

What's Next?

  • What's Next?
1
Understanding the problems
5%
2
Concept Discussion
10%
3
Demo
25%
4
Lab & Exercise
50%
5
Assessments & Projects
10%

PROJECT


In Artificial Intelligence Course a Participant will get total 5 real time scenario based projects to work on, as part of these projects, we would help our participant to have first hand experience of real time scenario based software project development planning, coding, deployment, setup and monitoring in production from scratch to end. We would also help our participants to visualize a real development environment, testing environment and production environments.

OUR COURSE IN COMPARISON


FEATURES DEVOPSSCHOOL OTHERS
1 Course for Artificial Intelligence
Faculty Profile Check
Lifetime Technical Support
Lifetime LMS access
Top 46 Tools
Interview Kit
Training Notes
Step by Step Web Based Tutorials
Training Slides

With the demand for AI in a broad range of industries, Our AI course is well suited for a variety of roles and disciplines, including:

  • Developers who are aspiring to be an Artificial Intelligence Engineer or Machine Learning Engineer
  • Analytics Managers who are leading a team of analysts
  • Information Architects who want to gain expertise in Artificial Intelligence algorithms
  • Analytics professionals who want to work in machine learning or artificial intelligence
  • Freshers and Graduates looking to build a career in Artificial Intelligence and machine learning
  • Professionals who would like to tackle Artificial Intelligence in their fields to get more insight

Participants in this course should have:

  • Understanding of the fundamentals of Python programming
  • Basic knowledge of statistics

You will have the skills required to help you to land a dream job. Jobs that are ideal for Artificial Intelligence trained professionals include:

  • Artificial Intelligence Engineer
  • Data Scientist
  • Analytics Manager/Lead
  • Machine Learning Engineer
  • Statistical Programming Specialist

PyTorch, A Python Library - Deep learning platform Certification


What are the benefits of "Artificial Intelligence" Certification?

During this program, you will be engaged in various projects and assignments, which include real-world industry scenarios. Which will be very helpful to you and you can expedite your career effortlessly.You would be glad to know that our certification training is recognized all around the world.

PyTorch, A Python Library - Deep learning platform Course FAQs


Because We provide the best Artificial Intelligence training course that gives you all the skills needed to work in the domains of AI, Machine Learning, Deep Learning, Data Science with R Statistical computing and Python to give the professionals an added advantage. After the completion of the training, you will be awarded the Artificial Intelligence certification.

You can know more about us on Web, Twitter, Facebook and linkedin and make your own decision. Also, you can email us to know more about us. We will call you back and help you more about the trusting DevOpsSchool for your online training.

You will have the skills required to help you to land a dream job. Jobs that are ideal for Artificial Intelligence trained professionals are like Artificial Intelligence Engineer, Analytics Manager/Lead, Machine Learning Engineer, Statistical Programming Specialist.

All of our trainers are industry experts with years of relevant experience in the industry. All of them have gone through a scrupulous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

We provide the best Artificial Intelligence training course that gives you all the skills needed to work in the domains of AI, Machine Learning, Deep Learning, Data Science with R Statistical computing and Python to give the professionals an added advantage. After the completion of the training, you will be awarded the Artificial Intelligence certification.

You will be working on real-time projects and step-by-step assignments which have high relevance in the corporate world, and the curriculum is designed by industry experts. Upon the completion of the training course, you can apply for some of the best dream jobs in top MNCs around the world and can get top salaries. We offer lifetime access to videos, course materials, at no extra fee. Hence, it is clearly a one-time investment.

You will never lose any lecture at DevOpsSchool. There are two options available: You can view the class presentation, notes and class recordings that are available for online viewing 24x7 through our Learning management system (LMS). You can attend the missed session, in any other live batch or in the next batch within 3 months. Please note that, access to the learning materials (including class recordings, presentations, notes, step-bystep-guide etc.)will be available to our participants for lifetime.

Please email to contact@DevopsSchool.com

  • Google Pay/Phone pe/Paytm
  • NEFT or IMPS from all leading Banks
  • Debit card/Credit card
  • Xoom and Paypal (For USD Payments)
  • Through our website payment gateway

If you are reaching to us that means you have a genuine need of this training, but if you feel that the training does not fit to your expectation level, You may share your feedback with trainer and try to resolve the concern. We have no refund policy once the training is confirmed.

Our fees are very competitive. Having said that if the participants are in a group then following discounts can be possible based on the discussion with representative.

  • Two to Three students – 10% Flat discount
  • Four to Six Student – 15% Flat discount
  • Seven & More – 25% Flat Discount

DevOpsSchool provides "PyTorch, A Python Library - Deep learning platform Course" certificate accredited by DevOpsCertificaiton.co which is industry recognized and does holds high value. Participant will be awarded with the certificate on the basis of projects, assignments and evaluation test which they will get within and after the training duration.

DEVOPSSCHOOL ONLINE TRAINING REVIEWS


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Abhinav Gupta, Pune

(5.0)

The training was very useful and interactive. Rajesh helped develop the confidence of all.


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Indrayani, India

(5.0)

Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.


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Ravi Daur , Noida

(5.0)

Good training session about basic Devops concepts. Working session were also good, howeverproper query resolution was sometimes missed, maybe due to time constraint.


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Sumit Kulkarni, Software Engineer

(5.0)

Very well organized training, helped a lot to understand the DevOps concept and detailed related to various tools.Very helpful


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Vinayakumar, Project Manager, Bangalore

(5.0)

Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.



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Abhinav Gupta, Pune

(5.0)

The training with DevOpsSchool was a good experience. Rajesh was very helping and clear with concepts. The only suggestion is to improve the course content.


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