What will you in PyTorch: Deep Learning and Artificial Intelligence Course
Understand the foundations of deep learning and neural networks.
Master PyTorch for building, training, and evaluating deep learning models.
Work with real-world datasets for image and tabular data classification.
Implement advanced topics such as transfer learning and custom CNNs.
Build and train neural networks using hands-on coding exercises.
Program Overview
Module 1: Introduction to Deep Learning & PyTorch
⏳ 30 minutes
Overview of AI, deep learning, and the PyTorch framework.
Installing PyTorch and setting up the environment.
Module 2: PyTorch Fundamentals
⏳ 45 minutes
Tensors, automatic differentiation, and key PyTorch operations.
Building a simple neural network from scratch.
Module 3: Neural Network Training Workflow
⏳ 60 minutes
Data loaders, loss functions, and optimization steps.
Training loops, validation, and evaluation metrics.
Module 4: Image Classification Projects
⏳ 60 minutes
Building a CNN for classifying image datasets.
Model improvement techniques: data augmentation, dropout, and batch normalization.
Module 5: Tabular Data Modeling
⏳ 60 minutes
Working with structured data using PyTorch.
Preprocessing and building dense neural networks for regression and classification.
Module 6: Transfer Learning with Pre-trained Models
⏳ 60 minutes
Using models like ResNet and VGG for new tasks.
Fine-tuning and feature extraction in PyTorch.
Module 7: Saving, Loading & Deployment
⏳ 45 minutes
Saving models with TorchScript and loading them for inference.
Deploying trained models using simple APIs.
Module 8: Final Project: Build an End-to-End Deep Learning App
⏳ 75 minutes
Combining all concepts in a complete app.
Training, evaluating, and deploying your own DL solution.
Get certificate
Job Outlook
High Demand: Deep learning engineers are sought after in AI, healthcare, finance, and autonomous tech.
Career Advancement: Great for data scientists, ML engineers, and AI researchers.
Salary Potential: $100K–$170K+ depending on experience and specialization.
Freelance Opportunities: Projects in computer vision, NLP, and AI-based app development.
Specification: PyTorch: Deep Learning and Artificial Intelligence
|
