PyTorch Online Training
(4.3) 
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10546 Ratings
11562Learners
100% Job Guarantee | Minimum CTC: ₹ 5.5 LPA
PyTorch facilitates developing deep learning projects using Python. PyTorch emphasizes adaptability and provides deep learning models to be composed in Python. This online course will assist you to master the concepts of PyTorch (intro level) together with our expert data scientists including hands-on tutorials and projects.
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- 40+ Hrs Hands On Training
- 2 Live Projects For Hands-On Learning
- 50 Hrs Practical Assignments
- 24/7 Students
Online Classroom Batches Preferred
10-Feb-2025
Monday (Monday - Friday)
Weekdays Regular
08:00 AM (IST)
(Class 1Hr - 1:30Hrs) / Per Session
12-Feb-2025
Wednesday (Monday - Friday)
Weekdays Regular
08:00 AM (IST)
(Class 1Hr - 1:30Hrs) / Per Session
15-Feb-2025
Saturday (Saturday - Sunday)
Weekend Regular
11:00 AM (IST)
(Class 3hr - 3:30Hrs) / Per Session
16-Feb-2025
Saturday (Saturday - Sunday)
Weekend Fasttrack
11:00 AM (IST)
(Class 4:30Hr - 5:00Hrs) / Per Session
Can't find a batch you were looking for?
₹21000
₹16000
10% OFF Expires in
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Top Skills You Will Gain
- Classification using PyTorch
- Autograd, Basics of PyTorch
- Network from Scratch in PyTorch
- Mathematical Operations
- Common PyTorch Modules
- Introduction to Tensors
- Getting Started with PyTorch
- Matrix Initialization and Matrix
PyTorch Course Key Features 100% Money Back Guarantee
-
5 Weeks Training
For Become a Expert -
Certificate of Training
From Industry PyTorch Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
For Hands-on Practices -
Lifetime Access
To Self-placed Learning -
Placement Assistance
To Build Your Career
Top Companies Placement
The Machine Learning Scientist Study and transform data science prototypes to design machine learning systems. Analysis and implement relevant ML algorithms and tools to develop machine learning applications according to specifications. To Perform statistical analysis and fine-tuning using test results and rewarded with substantial pay raises shown below.
- Designation
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Annual SalaryHiring Companies
PyTorch Course Curriculam
Trainers Profile
Trainers are certified professionals with 12+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from PyTorch Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Syllabus of PyTorch Online Course Download syllabus
- 1. PyTorch Fundamentals
- 2. Why PyTorch
- 3. Tensorflow vs Pytorch vs Keras
- 4. Matrix Basics
- 5. Reproducibility
- 6. GPU and CPU Toggling
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- 1. Basic Mathematical Tensor Operations
- 2. PyTorch Tensors
- 3. Two-Dimensional Tensors
- 4. Variables and Gradients
- 5. Practical Applications Using PyTorch
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- 1. What is Linear Regression
- 2. Linear Regression in PyTorch
- 3. Linear Regression From CPU to GPU in PyTorch
- 4. Multiple Input Output Linear Regression
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- 1. Logistic Regression for classification
- 2. Going deeper into Logistic Regression
- 3. Logistic Regression with PyTorch
- 4. From CPU to GPU in PyTorch
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- 1. Hidden Layers
- 2. Backpropagation
- 3. Activation Functions
- 4. Non-linearity
- 5. Feedforward Neural Network in PyTorch
- 6. More Feedforward Neural Network Models in PyTorch
- 7. Feedforward Neural Network From CPU to GPU in PyTorch
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- 1. Hidden Layers
- 2. Backpropagation
- 3. Activation Functions
- 4. Non-linearity
- 5. Feedforward Neural Network in PyTorch
- 6. More Feedforward Neural Network Models in PyTorch
- 7. Feedforward Neural Network From CPU to GPU in PyTorch
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- 1. Feedforward Neural Network Transition to CNN
- 2. One Convolutional Layer
- 3. Multiple Convolutional Layers Overview
- 4. Pooling Layers
- 5. Padding for Convolutional Layers
- 6. Output Size Calculation
- 7. CNN in PyTorch
- 8. More CNN Models in PyTorch
- 9. Expanding CNN Model's Capacity
- 10. From CPU to GPU in PyTorch
- 11. Pre-trained CNNs
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- 1. Introduction to RNN
- 2. RNN in PyTorch
- 3. More RNN Models in PyTorch
- 4. RNN From CPU to GPU in PyTorch
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- 1. Introduction to LSTMs
- 2. LSTM Equations
- 3. LSTM in PyTorch
- 4. More LSTM Models in PyTorch
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Industry Projects
Mock Interviews
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
- Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!
How Learnovita Mock Interview Works?
PyTorch Training Objectives
- Certainly Yes. PyTorch is the language to start learning, even if you are not sure about your career path. PyTorch is most successful in server-side and web-applications, where PyTorch alone is not sufficient, hence you may need to add more skills such as PyTorchscript, serverside PyTorchscript etc...
- Artificial intelligence (AI) promises to deliver some of the most significant and disruptive innovations of this century. Self-driving cars, robotic assistants, and automated disease diagnosis are all products of an emerging AI revolution that will reshape how we live and work. And with demand for talented engineers more than doubling in the last few years, there are limitless opportunities for professionals who want to work on the cutting edge of AI research and development.
- Career progression opportunities for individuals who become PyTorch developers are excellent
- PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab (FAIR). It is free and open-source software released under the Modified BSD license.
- Certainly Yes. Even the recruiters know the knowledge we get in colleges is not enough to do a software job. They will see how confident you are. However they will train you according to their requirement once you get into the company.
- I can safely say PyTorch is on that list of deep learning frameworks. It has helped accelerate the research that goes into deep learning models by making them computationally faster and less expensive (a data scientist’s dream!).
Both TensorFlow and PyTorch have their advantages as starting platforms to get into neural network programming. Traditionally, researchers and Python enthusiasts have preferred PyTorch, while TensorFlow has long been the favored option for building large scale deep learning models for use in production.
- At its core, PyTorch provides two main features: An n-dimensional Tensor, similar to numpy but can run on GPUs. Automatic differentiation for building and training neural networks.
- To succeed in this course, you'll need to be comfortable with Python and data processing libraries such as NumPy and Matplotlib. Basic knowledge of linear algebra and calculus is recommended, but isn't required to complete the exercises.
- Mostly Yes, Having Agile Thinking is enough to Understand the PyTorch Concepts. Even though The Basic Programing Language of C and C++ language knowledge is to make Ease to Understand the Concepts Easily.
After this training, the significant areas where you excel are as follows:
- Take courses from the world's best instructors and universities. Courses include recorded auto-graded and peer-reviewed assignments, video lectures, and community discussion forums. When you complete a course, you’ll be eligible to receive a shareable electronic Course Certificate for a small fee.
The training is perfect for the below job positions:
- Software developers
- Web designers
- Programming enthusiasts
- Engineering graduates
- Students who all want to become PyTorch developers
- PyTorch is widely used to develop cutting-edge and customized applications for web or mobile platforms and is the stepping stone for individuals hoping to advance their mobile development careers.
- PyTorch builds deep learning applications on top of dynamic graphs which can be played with on runtime. ... But with a dynamic approach, you can fully dive into every level of the computation, and see exactly what is going on.”
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Exam & Certification
At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training.
Online Classroom:
- Participate and Complete One batch of PyTorch Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the PyTorch Certification course
- Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your PyTorch Training course. It helps you to prepare for the actual PyTorch Certification exam. You can try this free PyTorch Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s PyTorch Certification Path.
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for PyTorch Developers.
Recently Placed Students
It was a great learning experience. The trainer had provided relevant examples truly enjoyed the sessions, I wholeheartedly thank Training & Placement Cell for the constant support
Sandeep Kumar D
Software Engineer, Cisco Systems )
I would like to appreciate the placement cell at LearnoVita for the efforts they made for providing a fair and ample amount of chances to me. boot-camps and extra classes for us to enhance our technical and interpersonal skills.
Vinoth P
UI Developer, TCS
I feel great studying at LearnoVita and getting the great opportunity as well as support from faculties & placement officers. It is dream come true, being an IT engineer
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
My sincere appreciation & gratitude to the Training & Placement Department and all staff of LearnoVita for their efforts in imparting quality technical and aptitude training. I am very grateful to them for effectively and sincerely helping me to grab the first-ever opportunity that came into my life.
Pranav Srinivas
Software Testing, Capgemini
I am very thankful to the faculties of LearnoVita as they are very much supportive, helpful, and the Placement Cell which is also doing a great job by arranging excellent placements of MNCs & good corporate exposure is given to students.
Prasanna
SAP Admin, HCLPyTorch Course FAQ's
LearnoVita Offers the Best Discount Price for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
- LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
- On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
- LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
- More than 5400+ students placed in last year in India & Globally.
- LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 85% percent placement record
- Our Placement Cell support you till you get placed in better MNC
- Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
After Your Course Completion You will Receive
- LearnoVita Certification is Accredited by all major Global Companies around the World.
- LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS.
- Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each PyTorch batch to 5 or 6 members
Learning PyTorch can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in PyTorch. Mastering PyTorch can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average PyTorch Developer salary in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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