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Natural Language Processing courses 303

Learn Natural Language Processing online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Pearson

Quick Start Guide to Large Language Models (LLMs): Unit 1

This course is designed to guide you through the evolution of natural language processing (NLP), from its historical roots to the cutting-edge advancements of today. You'll delve into the mechanics of modern deep learning architectures, exploring ground breaking concepts like attention and alignmen…

  • Coursera
  • 4 hours 50 minutes
  • Self-paced
  • Paid certificate

Pearson

Introduction to Transformer Models for NLP: Building NLP Solutions

This course covers the fundamentals and advanced applications of BERT and GPT models. You will learn how BERT processes text, including tokenization and vectorization, and practice fine-tuning BERT for tasks such as sequence classification, token classification, and question answering. The course a…

  • Coursera
  • 6 hours 24 minutes
  • Self-paced
  • Paid certificate

Pearson

Introduction to Transformer Models for NLP: Deploying Modern Models

This course covers transformer models and their applications in natural language processing and computer vision. Topics include the T5 model, fine-tuning for tasks such as abstractive summarization, and the Vision Transformer. Students will learn to build an image captioning system by combining vis…

  • Coursera
  • 2 hours 46 minutes
  • Self-paced
  • Paid certificate

Pearson

Introduction to Transformer Models for NLP: Foundations

This course covers the development of natural language processing (NLP), starting with basic concepts and moving to modern transformer architectures. You will learn about attention mechanisms and their impact on language modeling, as well as the details of transformer models, including scaled dot p…

  • Coursera
  • 2 hours 22 minutes
  • Self-paced
  • Paid certificate

Coursera

Deep Learning Engineering

Build and Deploy Production-Scale AI Systems

Learning path or series
  • Coursera
  • Self-paced
  • Paid certificate

Codio

Select Topics in Python

This specialization is intended for people who are interested in furthering their Python skills. It is assumed that students are familiar with Python and have taken the Programming in Python: A Hands-On Tutorial. These four courses cover a wide range of topics. Learn how to create and manage Python…

Learning path or series
  • Coursera
  • Self-paced
  • Paid certificate

Edureka

Learn Generative AI with LLMs

Advance your AI skills with hands-on training in Generative AI with Large Language Models (LLMs).

Learning path or series
  • Coursera
  • Self-paced
  • Paid certificate

Edureka

PySpark for Data Science

Fast-track your career in Data Science with PySpark

Learning path or series
  • Coursera
  • Self-paced
  • Paid certificate

Pragmatic AI Labs

Enterprise AIOps with Amazon Q Business

Learn to deploy and manage enterprise AI operations on AWS using Amazon Q Business, CloudShell, and Amazon Bedrock. You will explore Amazon Q Business as an enterprise AI assistant built on Bedrock with enterprise-grade security, natural language processing for conversational interactions, and data…

  • Coursera
  • 4 weeks of study, 3-5 hours/week
  • Self-paced
  • Paid certificate

SkillUp

AI Technologies in Healthcare

Artificial intelligence is redefining healthcare by improving diagnosis, accelerating research, and supporting clinical decision-making. This course explores how advanced AI technologies such as natural language processing (NLP), generative AI, and computer vision transform medical practice, data a…

  • Coursera
  • 4 weeks of study, 2 hours/week
  • Self-paced
  • Paid certificate

Pragmatic AI Labs

Prompt Architecture and NLP on Amazon Bedrock

Learn to design production prompt architectures and build advanced NLP tools on Amazon Bedrock. You will explore the token processing lifecycle from raw text input through tokenization to model output, then design reusable prompt templates with variable placeholders, version tracking, and A/B testi…

  • Coursera
  • 3 weeks of study, 3-5 hours/week
  • Self-paced
  • Paid certificate

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