Pre-trained Models Courses and Certifications

VinAI

The Lottery Ticket Hypothesis for Gigantic Pre-Trained Models

Explore the lottery ticket hypothesis in large pre-trained models, uncovering efficient subnetworks for transfer learning in NLP and computer vision tasks.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Leveraging Pre-trained Models for Speech Processing

Explore pre-trained models for speech processing, focusing on leveraging existing knowledge to enhance speech-related tasks and applications.

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

Programming Transformer Neural Networks with PyTorch

Master Transformer Neural Networks with PyTorch by building models from scratch, exploring pre-trained options, and implementing NLP applications like text generation.

• Udacity
• 4 hours
• On-Demand
• Paid Course

Deep Learning with TensorFlow & Keras

Gain insights into building, training, and customizing neural networks with TensorFlow and Keras, from simple implementations to advanced transfer learning for image classification.

• Pragmatic Institute
• 4 hours
• On-Demand
• Paid Course

Nvidia

Accelerating Vision AI Applications Using NVIDIA Transfer Learning Toolkit and Pre-Trained Models

Simplify vision AI model creation using NVIDIA's Transfer Learning Toolkit and pre-trained models. Accelerate development with zero-coding tools, fine-tuning options, and optimization techniques for high-performance inference across various industries.

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

Graham Neubig

CMU Advanced NLP: How to Use Pre-Trained Models

Explore advanced techniques for leveraging pre-trained models in NLP, including fine-tuning, linear probing, and in-context learning. Gain insights into empirical observations and mental models for effective implementation.

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

Toronto Machine Learning Series (TMLS)

Pre-Trained Multilingual Sequence to Sequence Models for NMT - Tips, Tricks and Challenges

Explore pre-trained multilingual sequence-to-sequence models for Neural Machine Translation. Learn adaptation techniques, training tips, and evaluation strategies while addressing challenges in implementation.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Unify

The Emergence of Essential Sparsity in Large Pre-trained Models

Explore essential sparsity in large pre-trained models, examining efficient handling of complex transformers and the impact of weight removal on performance.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Neuro Symbolic

Multi-Modal, Pre-Trained Models in Verifiable Sequential Decision-Making - Metacognitive AI

Explore multi-modal, pre-trained models in verifiable sequential decision-making for metacognitive AI, focusing on latest advancements and applications in artificial intelligence.

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

Open Data Science

Accelerating Financial Processing and Reporting with Pre-Trained and Custom ML Models

Innovative approach using pre-trained and custom ML models to enhance financial data processing and reporting, streamlining workflows and improving efficiency in generating insights for the finance industry.

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

Unsupervised Machine Learning: Unlocking the Potential of Data

Unlock untapped data potential through unsupervised ML techniques, generative models, and representation learning to drive AI initiatives and build interpretable models for your organization.

• GetSmarter
• 6 weeks, 7 hours a week
• 18th Mar, 2026
• Paid Course

Open Source LLMOps Solutions

26 ratings at Coursera

Gain hands-on experience deploying open-source LLMs, from understanding fundamentals to fine-tuning models and building AI applications using a code-first approach.

• Coursera
• 1 day 12 hours 14 minutes
• On-Demand
• Paid Course

Generative AI: Foundation Models and Platforms

310 ratings at Coursera

Explore core concepts, models, and platforms of generative AI. Gain hands-on experience with IBM watsonx and other tools to generate text, images, and code using foundation models.

• Coursera
• 6 hours 56 minutes
• On-Demand
• Paid Course

Introduction to Spacy for Natural Language Processing

240 ratings at Udemy

Kick start your Data Science career with NLP. This course is about Spacy. NLTK is not taught in this course.

• Udemy
• 4 hours 4 minutes
• On-Demand
• Paid Course

Models and Platforms for Generative AI

10 ratings at edX

This course focuses on the core concepts and models of generative AI, including deep learning and large language models. It covers the concept of foundation models and the capabilities of pre-trained models and platforms for AI application development.

• edX
• 3 weeks, 1-3 hours a week
• On-Demand
• Free Online Course (Audit)