Start typing to search courses...

Type in the search box to find courses
Learn Ai Courses
PyTorch
4.5/5

Level

Advanced

Duration

8 weeks

Trusted by Leading Organizations

Intel Logo
Microsoft Logo
TCS Logo
Accenture Logo
AWS Logo
Capgemini Logo
Infosys Logo
LG Logo
Flipkart Logo
Deloitte Logo
Genpact Logo
HP Logo
Tech Mahindra Logo
Wipro Logo
Zoho Logo
Dell Logo
Cognizant Logo
DMart Logo
ZenSar Logo
Myntra Logo
Intel Logo
Microsoft Logo
TCS Logo
Accenture Logo
AWS Logo
Capgemini Logo
Infosys Logo
LG Logo
Flipkart Logo
Deloitte Logo
Genpact Logo
HP Logo
Tech Mahindra Logo
Wipro Logo
Zoho Logo
Dell Logo
Cognizant Logo
DMart Logo
ZenSar Logo
Myntra Logo
What is PyTorch?

The PyTorch Certification Training program is a comprehensive, hands-on course designed to equip learners with practical deep learning and neural network development skills using PyTorch. Delivered through Jast Tech, this course covers everything from tensor operations and automatic differentiation to building, training, and optimizing deep neural networks for real-world applications. Learners will work with convolutional neural networks, recurrent networks, and transformers while gaining a strong understanding of model training pipelines, loss functions, optimizers, and GPU acceleration. The course emphasizes practical implementation through industry-aligned projects in computer vision and natural language processing. Advanced topics such as transfer learning, model evaluation, performance tuning, and deployment using TorchScript and ONNX are also included. By the end of this program, participants will be able to design scalable deep learning solutions, debug and optimize models efficiently, and confidently apply PyTorch in research and enterprise environments. This training is ideal for aspiring data scientists, machine learning engineers, and AI professionals seeking job-ready PyTorch expertise.

Job Roles You Can Achieve

After completing this course

  • Solutions Architect
  • Technical Consultant
  • Implementation Specialist
  • System Administrator
  • IT Professional

PyTorch Curriculum

1
Module 01

Introduction to PyTorch & Deep Learning

This module introduces PyTorch fundamentals and explains how it differs from other deep learning frameworks.

Overview of deep learning frameworks
PyTorch ecosystem and use cases
Installing PyTorch and environment setup
2
Module 02

Tensors and Mathematical Operations

Learners gain hands-on experience with PyTorch tensors and core numerical computations.

Tensor creation and manipulation
Broadcasting and indexing
Tensor operations on CPU and GPU
3
Module 03

Autograd and Computation Graphs

This module explains how PyTorch computes gradients dynamically using computation graphs.

Automatic differentiation
Gradients and backward propagation
Controlling gradient flow
4
Module 04

Building Neural Networks

Focuses on constructing neural networks using PyTorch’s modular API.

nn.Module and model structure
Layers, activation functions
Forward pass design
5
Module 05

Training and Optimization

Learners understand how to train models efficiently and monitor performance.

Loss functions
Optimizers (SGD, Adam, RMSprop)
Training loops and validation

Related Courses

Training Roadmap

Seven intentional milestones — from first session to dream job.

Onboarding

01
  • Meet your industry mentor
  • Define your goals
  • Skill gap assessment

Core Learning

02
  • Live interactive classes
  • AI-curated content
  • Recorded sessions

Hands-on Practice

03
  • Weekly assignments
  • MCQ evaluations
  • Module quizzes

Real Projects

04
  • 3 live industry projects
  • Portfolio building
  • Case studies

Mentorship

05
  • 1:1 doubt sessions
  • Peer collaboration
  • Expert feedback

Certification

06
  • Exam preparation
  • Practice dumps
  • Industry-recognised certificate

Career Launch

07
  • Resume crafting
  • Mock interviews
  • Job placement support

Key Projects

Hands-on experience with real-world scenarios designed for mastery.

Image Classification System Using CNNs

This project involves developing an image classification system using PyTorch convolutional neural networks. The model processes image datasets, applies data augmentation, trains CNN architectures, and evaluates performance using accuracy and loss metrics. The project reflects real-world computer vision workflows used in AI-driven applications.

Sentiment Analysis Using Recurrent Neural Networks

This project focuses on building a sentiment analysis model using RNN and LSTM architectures in PyTorch. It processes textual data, converts text into embeddings, trains sequence models, and predicts sentiment polarity. The project demonstrates real-world NLP pipelines used in customer feedback and social media analysis systems.

Transfer Learning-Based Object Recognition System

This project implements an object recognition system using pretrained deep learning models and transfer learning techniques in PyTorch. It fine-tunes existing architectures on custom datasets, optimizes performance, and evaluates accuracy. The project mirrors enterprise-level AI solutions deployed in vision-based automation systems.

Available Course Schedules

Select a schedule that works best for you

Weekend

Starts

23 May 2026

Time

09:30 AM – 12:30 PM

Duration

8 weeks

Weekdays

Starts

25 May 2026

Time

07:00 AM – 09:00 AM

Duration

8 weeks

Weekend

Starts

30 May 2026

Time

02:00 PM – 05:00 PM

Duration

8 weeks

Weekdays

Starts

01 Jun 2026

Time

08:00 PM – 10:00 PM

Duration

8 weeks

Need a custom schedule?

Our team will craft the perfect batch for you.

What Our Happy Clients Say

Real Feedback from our clients

What We Offer Beyond Courses

24/7 Support

Round-the-clock assistance

LinkedIn Profile

Professional profile building

Resume Writing

Expert resume crafting

Alumni Guidance

Mentorship from graduates

Interview Prep

Mock interviews & tips

Live Projects

Real-world experience

Review from Tejas Kumar

Tejas Kumar

Review from Sakshi Singh

Sakshi Singh

Review from Sanjay Patel

Sanjay Patel

Specialized Training Programs

JastTech For Corporates

JastTech Courses

Certification Details

PyTorch – Associate

  • Exam Name

    PyTorch – Associate

  • Exam Code

    SAA-C03

  • Duration

    130 minutes

  • Format

    Multiple Choice & Multi-Response

  • Passing Score

    720 (Scale: 100–1000)

  • Level

    Associate

Certificate of Completion

Prepare

Top Interview Questions

Curated questions with expert answers to help you ace your next interview.

Q1. What is PyTorch and why is it popular?

PyTorch is an open-source deep learning framework known for its dynamic computation graph, flexibility, and strong research and production support.

Q2. What is Autograd in PyTorch?

Autograd is PyTorch’s automatic differentiation engine that computes gradients for tensor operations during backpropagation.

Q3. Difference between PyTorch and TensorFlow?

PyTorch uses dynamic graphs, making debugging easier, while TensorFlow traditionally used static graphs (though this has evolved).

Q4. What is nn.Module?

nn.Module is the base class for all neural network models in PyTorch, enabling modular and reusable model design.

Q5. How do you deploy a PyTorch model?

PyTorch models can be deployed using TorchScript, ONNX, or by integrating them into APIs and production pipelines.

Support

Frequently Asked FAQs

Can't find what you're looking for? Reach out to our support team anytime.

Q1. Who should take this PyTorch course?

This course is ideal for students, data scientists, ML engineers, and AI professionals with basic Python knowledge.

Q2. Are prerequisites required?

Basic Python programming and fundamental machine learning concepts are recommended.

Q3. Does this course include real-world projects?

Yes, the course includes industry-oriented projects to ensure practical exposure.

Q4. Will I learn GPU acceleration with PyTorch?

Yes, the course covers CUDA usage and GPU-based model training.

Q5. Is this course suitable for job preparation?

Absolutely. The curriculum is aligned with industry requirements and interview expectations.

The support team was very cooperative and responsive. They made sure all doubts were cleared without delay. Great experience overall.

Vedant Shinde
Vedant Shinde

I had a great experience with the RF Circuit Design course. Thanks to the teaching staff for such a well planned and structured curriculum it really helped me clear my technical certification for my job.

Irfan Shah
Irfan Shah

I enrolled in the Post-Silicon Validation Certification Training at JastTech and found it quite different from typical courses. They focus on debugging techniques and real chip-level scenarios, which gave me a better idea of how things work.

Gayatri Sonawane
Gayatri Sonawane

One thing I really liked about the Data Analyst course at JastTech is their focus on consistency. Regular sessions and tasks help you stay on track and build a daily learning habit. Also, they provide recordings after live sessions, which help in revision.

Sanmitra Kamble
Sanmitra Kamble

I joined JastTech for the DFT course a few months back. At first, I wasn’t sure what to expect, but the classes turned out to be really helpful. The teaching is simple and not too complicated, which helped me keep up.

sachin kumar
sachin kumar

Take the Next Step in Your Career

Join thousands of learners who have upgraded their skills with our industry-focused training programs. Our experts are here to guide you every step of the way.

We're Here to Help –

Reach Our Global Offices

Hyderabad

JastTech

Training & Development Center

Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081

Pune

JastTech

Training & Development Center

Office 402, Tech Park Road, Hinjewadi, Pune, Maharashtra 411057

Kolkata

JastTech

Training & Development Center

Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091

Can't find your location? Contact us for more information.