Prodramp Courses

Efficient Geometry-Aware 3D Generative Adversarial Networks - EG3D

Hands-on guide to using pre-built EG3D models on Ubuntu 22.04 with Python 3.9, PyTorch, and CuDA GPU libraries. Learn to visualize, export, and generate 3D shapes from various models.

• YouTube
• 21 minutes
• On-Demand
• Free Video

TorchStudio - Deep Learning Toolkit

Hands-on guide to TorchStudio: Access PyTorch datasets, train models, and compare results. Ideal for beginners and experienced users in the PyTorch ecosystem.

• YouTube
• 29 minutes
• On-Demand
• Free Video

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

Learn face stylization with JoJoGAN: transfer styles to images using minimal data and GPU assistance. Covers setup, existing models, custom training, and animal face styles.

• YouTube
• 25 minutes
• On-Demand
• Free Video

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

Hands-on exploration of Diffusion Models using Google Colab, covering probabilistic implementations and prebuilt models. Includes code examples and practical demonstrations of the denoising process.

• YouTube
• 21 minutes
• On-Demand
• Free Video

All Things VQGAN - Variational AutoEncoder and VQ-VAE with Codebook Explanations - Part 2

Explore Variational AutoEncoders and Vector Quantized VAE, focusing on codebook explanations. Learn how these advanced techniques improve upon traditional autoencoders for better image generation and representation.

• YouTube
• 25 minutes
• On-Demand
• Free Video

All Things VQGAN - AutoEncoder with Latent Space and Reconstruction Error - Part 1

Explore AutoEncoders, latent space, and reconstruction error in VQGAN. Learn key concepts and their applications in AI, with practical examples and in-depth explanations.

• YouTube
• 21 minutes
• On-Demand
• Free Video

AI Workshop - Build Your Own Text-to-Image Application with DALL-E Mini in Python from Scratch

Learn to build a text-to-image application using DALL-E mini in Python. Covers model setup, code implementation, and result generation, providing hands-on experience with AI-driven image creation.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Nvidia Instant-NGP - Create Your Own NeRF Scene From a Video or Images - Hands-On Tutorial

Learn to create NeRF scenes from videos or images using NVIDIA Instant-ngp. This hands-on tutorial covers environment setup, data preparation, and various NeRF visualization techniques on Ubuntu 22.04.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Research Paper Deep Dive - The Sparsely-Gated Mixture of Experts

Explore the Sparsely-Gated Mixture-of-Experts model, its architecture, and data processing for text and images. Learn about conditional computation and resource-efficient large-scale AI training.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Text to Image Generation Using ruDALL-E Open Source Model

Explore ruDALL-E, an open-source text-to-image model based on DALL-E. Learn about its architecture, models, and try it out in Google Colab for generating images from text descriptions.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Gaining Expertise and Confidence With Python Closure and Decorators

Master Python closures and decorators in 5 steps: functions as objects, nested functions, closures, decorators, and data-binding. Gain expertise and confidence in these advanced concepts.

• YouTube
• 42 minutes
• On-Demand
• Free Video

FastAPI - Live Implementation and Debugging Python Code with PyCharm and VS Code IDE

Live implementation of FastAPI, covering setup, debugging, and integration with PyCharm and VS Code. Learn to create a basic FastAPI application with templates and API endpoints.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Apply LIME to Explain, Trust, and Validate Your Predictions for Any ML Model

Learn to implement LIME for explaining ML model predictions, with hands-on exercises using image classification models and custom Python implementations.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Forecast Any Mathematical Number Sequence with Regression - Machine Learning

Learn to generate and forecast mathematical number sequences using Python, pandas, numpy, and scikit-learn. Visualize data with matplotlib and apply regression models to predict future numbers in various function-based series.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Transform Open-Source Self-Driving Cars Data to Analyze and Visualize Locally with Streetscape.gl

Learn to visualize and analyze self-driving car datasets locally using streetscape.gl. Step-by-step guide to download, transform, and explore KITTI and NuScenes data with open-source tools for in-depth autonomous vehicle analysis.

• YouTube
• 29 minutes
• On-Demand
• Free Video