Foundations of Deep Learning with PyTorch: From Tensors to Real-World Models
Learn to build, train, and deploy deep learning models with PyTorch—bridging foundational concepts to real-world AI applications.
FormatsVirtual Classroom LiveTopicsAI & machine learning · GK Polaris
What you’ll learn
Getting Started with PyTorch and Building Blocks of Deep Learning
- ● Welcome and Setup
- ● Tensors and Operations
- ● Autograd and Computational Graphs
- ● PyTorch Modules & Custom Models
- ● Training Loop Mechanics
Training Like a Pro – Dataloaders, Training Strategies, and Vision Models
- ● Data Loading and Preprocessing
- ● Training Best Practices
- ● Model Evaluation & Metrics
- ● Introduction to Computer Vision with CNNs
- ● Saving, Loading, and Deploying Models
- ● End if Day Challenge - Mini Project
Applied PyTorch – NLP Models and End-to-End Project
- ● Intro to NLP with PyTorch
- ● Transformers with HuggingFace
- ● Transfer Learning & Fine-Tuning
- ● Advanced Optimization Techniques
- ● Model Deployment and Production Readiness
- ● Responsible NLP
Upcoming training
Dates and availability are confirmed by Bolt when we follow up. All times are shown in the provider’s stated time zone.
2026-11-09 — 2026-11-118:30 AM - 4:30 PM EST
Virtual Classroom LiveONLINE · English
2026-12-14 — 2026-12-16December 14 - 16, 2026
Virtual Classroom LiveONLINE · English