Certification: Applied PyTorch Skills Through Five Hands-On Projects

Upgrade your CV with proven AI expertise—earn this certification by completing five practical PyTorch projects, demonstrating your ability to apply deep learning skills to real-world challenges across multiple domains.

Difficulty Level:
Beginner Intermediate
Certification
Certification: Applied PyTorch Skills Through Five Hands-On Projects

About this certification

The Certification: Applied PyTorch Skills Through Five Hands-On Projects provides practical experience in building real-world machine learning solutions using PyTorch. By earning this certification, you'll develop highly sought-after skills such as increased productivity, adaptability, and a future-proof career in AI and deep learning. Take the next step in your professional growth by enrolling today.

This certification covers the following topics:

  • Understanding PyTorch Basics
  • Project 1: Tabular Data Classification
  • Project 2: Image Classification with Custom and Pre-trained Models
  • Project 3: Audio Classification using CNN with Spectrograms
  • Project 4: Text Classification using BERT
  • Project 5: Advanced PyTorch Techniques
  • PyTorch Dataset and DataLoader: Purpose and Usage
  • Defining and Training Neural Network Models in PyTorch
  • Transfer Learning with Pre-trained Models
  • Text Tokenization for Natural Language Processing Tasks
  • Using Spectrograms for Audio Data in Machine Learning

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