Pre-trained Models Courses and Certifications

Open Source LLMOps Solutions

Learn the fundamentals of large language models (LLMs) and put them into practice by deploying your own solutions based on open source models. By the end of this course, you will be able to leverage state-of-the-art open source LLMs to create AI applicat…

• Coursera
• 1 day 11 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

2024 Introduction to Spacy for Natural Language Processing

210 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

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)

Generative AI: Foundation Models and Platforms

84 ratings at Coursera

This course is for all enthusiasts and practitioners with a genuine interest in the rapidly developing field of generative AI, which is transforming our world. The course focuses on the core concepts and generative AI models that form the building bloc…

• Coursera
• 6 hours 40 minutes
• On-Demand
• Free Online Course (Audit)

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)

Building Deep Learning Applications with Keras 2.0

284 ratings at LinkedIn Learning

Learn how to install Keras— a popular deep learning framework—and use it to build a simple deep learning model.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Stay at the cutting-edge of AI technology by gaining practical skills for deploying edge AI. Learn how to use the Intel Distribution of OpenVINO toolkit to deploy computer vision capabilities inside a range of edge applications.

• Udacity
• 4 weeks
• On-Demand
• Free Online Course

Expediting Deep Learning with Transfer Learning: PyTorch Playbook

This course covers the important design choices that a data professional must make while leveraging pre-trained models using Transfer Learning. It also covers the implementation aspects of different Transfer Learning approaches in PyTorch.

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

Graham Neubig

CMU Advanced NLP: How to Use Pre-Trained Models

Explore pre-trained models in NLP with Graham Neubig's guest lecture, covering fine-tuning methods, empirical observations, and latent concept problems. (1-2hr workload)

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Online Course

Nvidia

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

Learn to create vision AI models using NVIDIA's Transfer Learning Toolkit and pre-trained models in less than an hour. Ideal for developers seeking to speed up AI model training.

• YouTube
• 47 minutes
• On-Demand
• Free Online Course

Yannic Kilcher

Can Wikipedia Help Offline Reinforcement Learning - Author Interview

Explore the use of Wikipedia in offline reinforcement learning with Yannic Kilcher in this under 1-hour session. Dive into language model pre-training, decision transformers, and model attention patterns.

• YouTube
• 45 minutes
• On-Demand
• Free Online Course

Devoxx

Building Smarter Apps with Machine Learning - From Magic to Reality

Learn to build smarter apps with Machine Learning in less than an hour with Devoxx. No AI knowledge needed, just pre-trained models and a few lines of code.

• YouTube
• 54 minutes
• On-Demand
• Conference Talk

EuroPython Conference

NLPeasy - A Workflow to Analyse, Enrich, and Explore Textual Data

Learn to analyze, enrich, and explore textual data using NLPeasy in a simple Jupyter Notebook. Offered by EuroPython Conference, it takes less than an hour.

• YouTube
• 27 minutes
• On-Demand
• Conference Talk

EuroPython Conference

AI for Content Moderation at PayPal

Explore AI's role in content moderation with PayPal's experts in this EuroPython Conference session. Learn about data labelling, multi-language support, and leveraging open data.

• YouTube
• 43 minutes
• On-Demand
• Conference Talk