Pre-trained Models Courses and Certifications

Pragmatic AI Labs

Open Source LLMOps

Unlock Open Source AI: Dive into LLM Architectures, Fine-Tuning, and Cutting-Edge Deployments.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Pragmatic AI Labs

DevOps, DataOps, MLOps

Streamline AI Operations: Leverage DevOps, DataOps, and MLOps for End-to-End Machine Learning Solutions.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Programming Generative AI

Master deep generative modeling with PyTorch and Hugging Face to build multimodal AI systems that generate text and images from foundational concepts to advanced applications.

• Coursera
• 4 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses

Gen AI Using Hugging Face Training

Master speech-to-text, sentiment analysis, and text generation using Hugging Face transformers to build scalable NLP applications in just over 2 hours.

• Coursera
• 2 hours 10 minutes
• On-Demand
• Paid Course

Pragmatic AI Labs

Hugging Face Hub and Ecosystem Fundamentals

Discover how to navigate the Hugging Face ecosystem to find, evaluate, and deploy pre-trained ML models for text, image, and audio tasks across 500,000+ options without training from scratch.

• Coursera
• 2 hours 13 minutes
• On-Demand
• Paid Course

EDUCBA

Deep Learning with TensorFlow: Build Neural Networks

Master TensorFlow fundamentals and build neural networks from perceptrons to CNNs, implementing transfer learning for real-world image classification tasks.

• Coursera
• 5 hours 19 minutes
• On-Demand
• Paid Course

Discover AI

PyTorch Vision Transformer: Applying Pre-trained and Fine-tuned ViT Models for Image Classification

Master Vision Transformer implementation in PyTorch using pre-trained and fine-tuned ViT models for image classification, with hands-on practice in Google Colab and Huggingface integration.

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

Graham Neubig

Pre-training and Pre-trained Models in Advanced NLP - Lecture 5

Explore pre-training in NLP, covering objectives, data, model types, and notable examples. Gain insights into advanced techniques shaping modern language processing.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Social Applications of Pre-trained Language Models

Explore social applications of pre-trained language models, focusing on automated approaches to investigate stereotypes, prejudice, and propaganda in text, and examine societal impacts of NLP technology.

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

Broad Institute

Painless Simulation of Multiple Pre-trained Protein Generative Models Through the Superposition Principle

Discover how to simulate multiple pre-trained protein generative models efficiently through the superposition principle in this insightful presentation from Joey Bose of Oxford's Michael Bronstein Lab.

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

Simons Institute

The Evolution of Domain Transfer in the Era of Pre-trained Language Models

Explore the complex relationship between pre-trained language models and domain transfer, examining how pre-training affects model understanding and pattern recognition across different contexts.

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

Bureau of Economic Geology

Leveraging Pre-trained Vision Foundation Models for Geophysical Data Processing and Interpretation

Discover how to adapt computer vision foundation models for geoscience applications, focusing on efficient processing and interpretation of geophysical data like seismic and lunar imagery.

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

Building Deep Learning Applications with Keras 2.0

50 ratings at LinkedIn Learning

Get a thorough introduction to Keras, a versatile deep learning framework, and learn how to build, deploy, and monitor robust deep learning models.

• LinkedIn Learning
• 1 hour 51 minutes
• On-Demand
• Free Trial Available

Learn PyTorch in 5 Projects - Tutorial

Master PyTorch through five hands-on projects covering tabular data, image, audio, and text classification, including custom and pre-trained models for real-world applications.

• freeCodeCamp
• 5 hours 49 minutes
• On-Demand
• Free Video

Selection and Implementation of AI Models: Speech2Summary

Discover how to select and implement AI models for speech-to-summary applications through practical workshop content and hands-on implementation strategies.

• openHPI
• 13 weeks
• On-Demand
• Free Online Course