PyTorch Online Course
(4.9) 
10546
10546 Ratings
4.7/5
6,028 Reviews
174 Reviews
440 Reviews
4.8/5
6,028 Reviews
174 Reviews
440 Reviews
4.8/5
6,028 Reviews
174 Reviews
440 Reviews
- Enroll in the PyTorch Online Training and gain expertise in deep learning using one of the most powerful open-source.
- Master key concepts including Tensors, Autograd, Neural Networks, CNNs, RNNs, Transfer Learning, and Deployment.
- Get hands-on practice through real-time projects, model building assignments, and lab exercises using PyTorch.
- Flexible Training Schedules with Weekday, Weekend, and Fast-Track options to accommodate your availability.
- Learn from industry-experienced instructors with practical knowledge in AI and machine learning applications.
- Career-Oriented Support including Resume Crafting, Interview Prep, Certification Guidance, and Placement Assistance.
Course Duration
55+ HrsLive Project
3 ProjectCertification Pass
GuaranteedTraining Format
Live Online (Expert Trainers)
11258+
Professionals Trained
10+
Batches every month
3258+
Placed Students
234+
Corporate ServedWhat You'll Learn
Learn PyTorch basics to build and train deep learning models with dynamic computation.
Understand tensors, autograd, and neural network modules for flexible model design.
Master PyTorch Online Training to learn implementing CNNs, RNNs, and transfer learning using PyTorch frameworks.
Explore data loading, preprocessing, and augmentation techniques in PyTorch.
Gain skills in debugging, optimizing, and deploying PyTorch models effectively.
Use PyTorch Online Course to develop advanced AI applications with hands-on coding.
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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Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Benefits of PyTorch Course
PyTorch Certification Course provides hands-on experience with this powerful deep learning framework. You’ll learn to build, train, and deploy neural networks for applications like computer vision and natural language processing. Ideal for AI enthusiasts and data scientists, this course enhances your skills in creating efficient, flexible models to solve complex machine learning problems.
- Designation
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Annual SalaryHiring Companies
About Your PyTorch Training
Our PyTorch Certification Course offers an affordable, hands-on path to mastering deep learning and AI model development using PyTorch. Gain practical experience building neural networks and solving real-world problems through PyTorch Project. Supported by 500+ hiring partners and dedicated PyTorch Placement support, you’ll develop valuable skills for a thriving career in machine learning and artificial intelligence.
Top Skills You Will Gain
- Tensor Operations
- Model Building
- Autograd Mechanics
- GPU Acceleration
- Neural Networks
- Loss Functions
- Data Loading
- Debugging Models
12+ PyTorch Tools
TorchVision
CUDA
NumPy
Jupyter
Anaconda
Matplotlib
TensorBoard
ONNX
Horovod
Dataloader
Caffe2
Ignite
Online Classroom Batches Preferred
Weekdays (Mon - Fri)
17 - Nov - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
19 - Nov - 2025
08:00 AM (IST)
Weekend (Sat)
22 - Nov - 2025
11:00 AM (IST)
Weekend (Sun)
23 - Nov - 2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹21000
₹16000
10% OFF Expires in
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Why PyTorch Course From Learnovita? 100% Money Back Guarantee
PyTorch Course Curriculam
Trainers Profile
Our PyTorch Online Course trainers are seasoned AI and machine learning professionals with extensive expertise in deep learning frameworks. They offer a cutting-edge curriculum designed to provide hands-on experience with PyTorch’s dynamic computational graph and neural network capabilities. Whether you're enrolled in a comprehensive course or participating in a PyTorch Internship, these certified instructors use practical projects and real-world examples to equip learners with the skills to build, train, and deploy advanced deep learning models, effectively preparing them for careers in AI research and development.
Syllabus of PyTorch 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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Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Industry Projects
Career Support
Our Hiring Partner
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
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.
Our Student Successful Story
Regular 1:1 Mentorship From Industry Experts
Live Classes
Career Support
Sandeep Kumar D
Software Engineer, Cisco Systems )
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
Vinoth P
UI Developer, TCS
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.
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
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
Pranav Srinivas
Software Testing, Capgemini
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.
Prasanna
SAP Admin, HCL
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.
Institute Difference
How are the PyTorch Course with LearnoVita Different?
Feature
LearnoVita
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher PyTorch Fees With Limited Payment Options.
Live Class From ( Industry Expert)
Well Experienced Trainer From a Relevant Field With Practical PyTorch Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant PyTorch Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world PyTorch Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized PyTorch Certifications With Global Validity.
Basic PyTorch Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Strong Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
Additional Features
Lifetime Access to PyTorchCourse Materials, Alumni Network, and Hackathons.
No Additional Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
PyTorch Course FAQ's
Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend , you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. AAppium at learning experience is provided by all of these knowledgeable people at LearnoVita.
- LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
- Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
- Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
- LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
- We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
- Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. LearnoVita are the exclusive authorized Oracle, Microsoft, Pearson Vue, and PyTorch I exam centers, as well as an authorized partner of PyTorch . Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in PyTorch .
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the PyTorch at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each PyTorch Service batch to 5 or 6 members.
The average annual salary for PyTorch Professionals in India is 3 LPA to 4 LPA.
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