Natural Language Processing (NLP) Courses and Certifications

Nicholas Renotte

AI Blog Post Summarization with Hugging Face Transformers and Beautiful Soup Web Scraping

Scrape blog posts with Beautiful Soup, chunk their text, and summarize them using a Hugging Face pipeline in Python.

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

Neural Breakdown with AVB

Natural Language Processing Evolution: From Word2Vec and RNNs to GPT - 50 Key Concepts

Fifty concepts trace a decade of language modeling, from word embeddings and recurrent networks to Transformers, GPT-4, and human alignment.

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

UofU Data Science

Natural Language Processing - Spring 2024

A comprehensive introduction to NLP spanning tokenization, embeddings, transformers, LLM fine-tuning, and language understanding tasks.

• YouTube
• 1 day 8 hours 4 minutes
• Self-Paced
• Free Video

Graham Neubig

Advanced Natural Language Processing - Fall 2024

Advanced NLP course covering transformers, language models, instruction tuning, retrieval, agents, multilingual systems, evaluation, safety, and efficient inference.

• YouTube
• 1 day 3 hours 10 minutes
• Self-Paced
• Free Video

Graham Neubig

CMU Advanced Natural Language Processing Spring 2024

A graduate-level survey of modern NLP, from language modeling and transformers to prompting, retrieval, agents, reasoning, and multilingual systems.

• YouTube
• 1 day 1 hour 26 minutes
• Self-Paced
• Free Video

Graham Neubig

CMU Advanced Natural Language Processing 2022

Trace advanced NLP from neural language models to linguistic structure, with attention to evaluation, debugging, and fairness.

• YouTube
• 1 day 6 hours 23 minutes
• Self-Paced
• Free Video

Graham Neubig

CMU Multilingual Natural Language Processing 2022

Explore how multilingual NLP supports translation, speech technologies, question answering, and documentation for endangered languages.

• YouTube
• 17 hours 41 minutes
• Self-Paced
• Free Video

Graham Neubig

CMU Advanced Natural Language Processing 2021

Explore neural NLP methods from language modeling, pre-training, and prompting to parsing, dialogue, and debugging models.

• YouTube
• 1 day 6 hours 17 minutes
• Self-Paced
• Free Video

Graham Neubig

Neural Networks for Natural Language Processing 2021

Explore neural methods for language tasks, from recurrent networks and contextual representations to structured prediction, sequence pretraining, and document-level models.

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

Sam Witteveen

LangExtract - Google's New Library for NLP Tasks

See how LangExtract applies LLMs and structured outputs to information extraction tasks traditionally handled with NLP.

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

James Briggs

Question Answering in NLP - Extractive and Abstractive QA with Vector Search

Explore extractive, abstractive, and long-form question answering, then build open-domain Q&A systems and reader models in Python.

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

Working with Hugging Face

6389 ratings at DataCamp

Navigate the Hugging Face Hub to load, use, and save models and datasets, then build pipelines for text classification, extractive and abstractive summarization, and document conversations.

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Introduction to Embeddings with the OpenAI API

3322 ratings at DataCamp

Enable Powerful AI Applications Embeddings allow us to represent text numerically, capturing the context and intent behind the text.

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

Krish Naik

Complete Natural Language Processing Machine Learning Tutorial

1 rating

Builds practical NLP foundations through text preprocessing and encoding, then explains Word2Vec, skip-gram, and average Word2Vec implementation.

• YouTube
• 3 hours 53 minutes
• Self-Paced
• Free Video

Career Certificate

IBM Generative AI Engineering

101028 ratings at Coursera

Build generative AI applications with Python: prompt engineering, transformers and LLMs like BERT and LLaMA, fine-tuning with PyTorch and Hugging Face, and RAG apps using LangChain.

• Coursera
• 24 weeks, 6 hours a week
• Self-Paced
• Paid Course
• 16 courses