Certification
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.
The exam
Take the certification exam
Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.
What the exam covers
2 questions from each of the 5 chapters of the course
10 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.
- 01Tabular data classification91:13
- 02Image classification76:36
- 03Pre-trained image models50:42
- 04Audio classification74:00
- 05Text classification with BERT56:01
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
Jobs this certification suits
Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.