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Pytorch

PyTorch is an open source machine learning (ML) framework based on the Python programming language and the Torch library.

4.8  ·  Rated by learners Certificate of completion
Duration
25 Hours
Mode
Live + Recorded
Level
Beginner → Pro
Language
English / Hindi

Course overview

About the Pytorch program.

PyTorch is an open source machine learning (ML) framework based on the Python programming language and the Torch library.

Why learn with BISP

Trusted by professionals across 30+ countries.

Industry trainers

Certified consultants with 12+ years of real project experience.

Hands-on practice

Real-time scenarios & live project modules, not just slides.

Placement support

Resume building, mock interviews & job referrals.

Certification

BISP certificate + full guidance for official exams.

Course curriculum

Designed by real-time industry professionals around current job roles.

Download curriculum (PDF)
18 modules 64 topics
01 Introduction to Artificial Intelligence 5 topics
  • History of AI
  • Applications od AI
  • AI in Computer Vision
  • AI Terminology
  • Why Deep Learning so popular
02 Numpy Refresher 8 topics
  • Introduction to NumPy
  • Why do we need a special Library for Maths an DL
  • NumPy Basic Operations
  • Mathematical Functions
  • Reshape & Combine Array
  • Element-wise Operations
  • Linear Algebra
  • Array Statistics
03 Introduction PyTorch 3 topics
  • Why PyTorch
  • Introduction to PyTorch
  • PyTorch Basics
04 What is inside an ML Algorithm 4 topics
  • Machine Learning Pipeline
  • Solving ML Problems
  • Gradient Descent
  • Gradient Descent for Optimization
05 Feature Vectors 1-D to N-D 1 topics
  • Feature Vectors and Normalization
06 Neural Network Basics 6 topics
  • What is Neural Network
  • Loss Functions for Regression
  • Loss Functions for Classification
  • Types of Activation Functions
  • How does the network learn
  • Demystifying Neural Networks
07 Binary Classification using Perceptrons 1 topics
  • Binary Classification using a Perceptron
08 PyTorch NN Module 4 topics
  • Introduction to pyTorch NN Module
  • PyTorch NN Module
  • MLP using Functional API
  • MLP using Sequential API
09 Image Classification using Multilayer Perceptron 1 topics
  • MLP Classifier for Handwritten Digits(MNIST)
10 Convolution Operation 3 topics
  • What is Convolution Operation
  • CNN Building Blocks
  • Layers in CNN
11 Evaluation of Classification Performance 2 topics
  • Perforamance Metrics for Classification
  • How to Implement Classification Metrics
12 Introduction to Torchvision 7 topics
  • TorchVision Overview
  • Datasets
  • What are the different Transforms used to Train a Network
  • Different Models in TorchVision
  • Utils: Utility Functions in TorchVision
  • IO Operations in TorchVision
  • Ops module in TorchVision
13 Important CNN architectures 3 topics
  • Different CNN Architecture
  • Pre-trained Models in Torchvision
  • Pre-trained Classification Models in TorchVision
14 Module 4 : Deep Neural Networks 4 topics
  • Optimization
  • What are Optimizers
  • Learning Rate Decay Methods
  • LR Scheduler
15 Training Deep Neural Networks 6 topics
  • Step1: Data understanding
  • Step2: Data Preparation
  • Step3: Check Training Pipeline
  • Step4: Train the Model
  • Step5: Improve the Model
  • Check Training Pipeline
16 Data Loader with Image Folder 1 topics
  • How to load Custom Datasets in PyTorch
17 Troubleshooting Training with Tensorboard 4 topics
  • Tensorboard Overview
  • Tensorboard Dashboard
  • Logging using Tensorboard
  • Sharing Tensorboard Logs
18 Leveraging Pre-Trained models 1 topics
  • CNN Architectures(Recap)

Course details

Who it is for, what you need, and how it is delivered.

Who should learn Pytorch?

PyTorch offers unparalleled advantages with its Python-based ecosystem, dynamic computation capabilities, and a strong focus on research and development.

 

Prerequisites

Python 3.6 or higher. You can install Python using the Python website, Homebrew, or the Anaconda package manager.

Delivery methodology

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class delivery

Live Interactive classes with expert

Certificate of completion

Earn an industry-recognised BISP Trainings certificate when you finish the course.

BISP Trainings Certificate of Completion
  • Verifiable certificate with a unique ID
  • Shareable on LinkedIn & your resume
  • Recognised by our hiring partners

Upcoming batches

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Frequently asked questions

Everything you need before you enroll.

Can I attend a demo session before enrollment?

Yes. You may attend a demo class before enrollment for training quality evaluation, and interact one-to-one with the trainer for any specific requirement.

Can you schedule training as per my availability?

Yes. We discuss it with the trainer and schedule the training at a convenient time for you.

What if I miss a class?

You get the recorded session. You may also retake the whole training multiple times within a 6-month period with the same trainer.

Is there live project training?

Yes. The curriculum includes real-time scenarios and live project modules, with the trainer explaining every topic end-to-end.

How can I pay for the course?

Enroll securely via the payment gateway on this page using card, UPI or net-banking. EMI options are available.

More queries?

Call us at +91 769-409-5404 & +1 678-701-4914, or write to support@bisptrainings.com.

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