PyTorch
Learn how to use Techpratham to build and deploy cutting-edge deep learning and AI models with PyTorch. Use PyTorch to learn how to do computer vision, natural language processing, and reinforcement learning in a real-world setting.
Level
Advanced
Duration
8 weeks
Placement Client
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About PyTorch
Techpratham's PyTorch training lets you learn about deep learning by actually using PyTorch's flexible and dynamic computation graph. The course includes neural networks, computer vision, natural language processing (NLP), and putting models into use. Students will work with real data sets and use the most up-to-date AI models. By the end, you'll know how to use PyTorch to make, improve, and deploy AI solutions that can grow.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
PyTorch
Course Curriculum
Introduction to PyTorch
Learn the basics of PyTorch and its ecosystem.
PyTorch Installation & Setup
Set up PyTorch in local and cloud environments with GPU/TPU support, IDE integration, and dependency management.
Tensors and Autograd
Learn about tensors, operations, and PyTorch’s automatic differentiation (autograd) system for gradient computation.
Building Neural Networks in PyTorch
Explore PyTorch modules for creating, training, and evaluating deep learning models with ease.
Optimization and Training Loops
Master training loops, optimization strategies, and hyperparameter tuning for building efficient models.
Computer Vision with PyTorch
Implement convolutional neural networks (CNNs) for image classification, detection, and transfer learning.
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Who Should Take PyTorch
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
<h1><strong>PyTorch</strong></h1>
Handwritten Digit Recognition with CNNs
Use the MNIST dataset to teach a convolutional neural network to read handwritten numbers. Use TorchServe to train, validate, and tune hyperparameters, and then deploy the model.
Movie Review Sentiment Analysis with RNNs
Use embeddings and LSTMs to make an NLP model that can tell if IMDB movie reviews are good or bad. Train the model on sequence data and then make it available as an API for real-time predictions.
Real-Time Object Detection with YOLO/PyTorch
Use YOLO or Faster R-CNN in PyTorch to set up a system that can find objects in real time. Use an open dataset to train the model, then tweak it and use it for live video or camera input applications.
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
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What Makes TechPratham Training Different?
Course FAQs
Why should I learn PyTorch if TensorFlow is already popular?
What is PyTorch?
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Industry-Recognized Certification
India
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Noida Office
C-2, Sector-1, Noida, Uttar Pradesh - 201301
India
Hyderabad Office
LVS Arcade, 6th Floor, Hitech City, Hyderabad