PyTorch Course Online

PyTorch is an open-source machine learning and deep learning framework based on the Python programming language. It was developed by Meta’s Facebook AI Research (FAIR) team, making deep learning easier, faster, and more flexible. At igmGuru, learners get the opportunity to learn from industry experts with over 15 years of experience who have worked with leading organizations. After enrolling in the PyTorch course, learners begin with expert-led training and hands-on practice. The course focuses on real-world projects to help build strong deep learning skills and prepare learners for Machine Learning and AI roles.

Prerequisite

• Basic computer skills (files, folders, software installation)
• Python programming (variables, loops, functions, lists)
• Mathematics (school-level algebra, calculus intuition, basic statistics)
• Basic machine learning concepts (supervised and unsupervised learning)
• Logical thinking and problem-solving skills

Who Should Enroll

• Students who want to build a career in AI and ML
• Beginners with basic Python knowledge
• Software developers interested in data science and machine learning
• Engineers and programmers

Objectives of PyTorch Course

• Understand PyTorch and its workflow
• Work with tensors and tensor operations
• Create and train neural networks using PyTorch
• Apply PyTorch for machine learning and deep learning tasks
• Write clean and efficient PyTorch code

What Will You Learn

• Core PyTorch concepts and workflow
• Working with tensors and tensor operations
• Automatic differentiation and gradients
• Building and training neural networks
• Neural network classification models
• Computer vision using PyTorch
• Creating and using custom datasets
• Writing modular and reusable PyTorch code
• Applying transfer learning with pre-trained models
• Tracking and comparing model experiments
• Replicating research papers using PyTorch
• Deploying trained PyTorch models
• Debugging common PyTorch errors
• Build CNNs for image classification, object detection & segmentation

Tools & Technologies Covered

• Python
• Machine Learning (ML)
• Deep Learning
• Artificial Intelligence (AI)
• PyTorch Lightning
• MONAI
• Meta AI (FAIR - Facebook AI Research)
• NeMo
• Natural Language Processing (NLP)
• Computer Vision
• Federated Learning
• Privacy-Preserving AI

Career Opportunities After PyTorch Training

• Machine Learning Engineer
• Deep Learning Engineer
• AI Engineer
• Data Scientist (DL-focused)

Why Choose This PyTorch Online Course

• Industry-aligned PyTorch curriculum
• Hands-on projects and real-world use cases
• Expert-led training and mentorship
• Job-ready deep learning skills
• Practical exposure to AI applications