Prodramp Courses

Your Step by Step Guide on Python Libraries Development

Develops and publishes Python libraries by implementing extensible classes, writing class-based tests, and uploading packages to PyPI.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Your Step by Step Guide on Python Libraries Development - Part 2/3

Convert a Python application into a library by organizing its project, adding tests, creating setup.py, and building and installing a wheel package.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Your Step by Step Guide on Python Libraries Development - Part 1/3

A step-by-step introduction to Python library development, contrasting libraries with applications and building an application through functions toward a final version.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

How to Build Combined Interfaces and Dynamic UI for Python Application

Build a tabbed, dynamic user interface for a Python application with Gradio, coding six interface tabs and reviewing the complete source code.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Data Processing Fundamentals - Create GUI for Data Application with Gradio

Build a tabbed Gradio interface for a Python data-processing application with integrated value and category filters.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Data Processing Fundamentals - Create GUI for Data Application with Gradio

Learn to build a working Gradio GUI for a Python data application, including input components, class-based integration, and a complete interface.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Data Processing Fundamentals - Smarter Python Code With Classes

Build DatasetSelector and DatasetManager classes in Python, add methods and scikit-learn support, and load datasets while handling sample-size errors.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Data Processing Fundamentals - Writing Smarter Python Code With Classes

Refactor a Python data-processing application with classes, methods, object instantiation, and scikit-learn dataset loading.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Data Processing Fundamentals - Extended Filtering with Multiple Datasets

Explore Python data filtering across categories and multiple datasets, with result validation, object support, and inline code to reduce duplication.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Data Processing Fundamentals - Data Access and Filtering

Use Python to load, filter, and validate tabular data by records, values, and column data types.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

A Developer Guide to Use Stable Diffusion Text-to-Image AI Model in Python

Use Stable Diffusion in Python to generate images from text, test the model in Colab, and expose it through a Gradio app.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Efficient Geometry-Aware 3D Generative Adversarial Networks - EG3D

Use pre-built EG3D models to visualize and export 3D shapes and volume movies from cat and sports-car models.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

TorchStudio - Deep Learning Toolkit

A hands-on walkthrough of TorchStudio for loading PyTorch datasets, training custom models, and tracking metrics.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

One-shot Face Stylization with JoJoGAN - In-depth Tutorial - Part 1

Learn to use JoJoGAN in Google Colab for one-shot face style transfer, including custom style training with single, multiple, and animal-face images.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Diffusion Models - Google Colab Experimentation with Code and Prebuilt Models - Part 2

Implement diffusion models in Google Colab, experimenting with variance schedules, reverse diffusion, pretrained models, and denoising results.

• YouTube
• 21 minutes
• Self-Paced
• Free Video