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NLP Courses

NLP courses can help you learn text processing, sentiment analysis, language modeling, and chatbot development. You can build skills in data preprocessing, feature extraction, and evaluating model performance. Many courses introduce tools like Python libraries such as NLTK and spaCy, as well as frameworks like TensorFlow and PyTorch, that support implementing NLP techniques and developing applications that utilize artificial intelligence.


Popular NLP Courses and Certifications


  • C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    373 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • C

    Coursera

    ChatGPT Playground for Beginners: Intro to NLP AI

    Skills you'll gain: Prompt Engineering, ChatGPT, Patient Communication, Generative AI, LLM Application, Telehealth, Health Technology, Artificial Intelligence, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    76 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Fine Tune BERT for Text Classification with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    211 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Web Scraping With GPT: Translate Foreign News Headlines

    Skills you'll gain: Web Scraping, Real Time Data, OpenAI API, Natural Language Processing, Python Programming, Web Applications, Language Interpretation, Translation, and Studies, Application Development, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Medical Insurance Premium Prediction with Machine Learning

    Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Building Smart Business Assistants with IBM Watson

    Skills you'll gain: IBM Cloud, Model Deployment, AI Enablement, Self Service Technologies, Application Deployment, Customer Inquiries, Customer Engagement, Cloud Computing, Customer Service, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    469 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Build a Chatbot with Voiceflow: Ecommerce Customer Support

    Skills you'll gain: Application Deployment, Customer Support, ChatGPT, Product Support, Customer Inquiries, Business Process Automation, Customer Service, E-Commerce, Order Management, User Requirements Documents, Automation, Greeting Customers, AI Enablement, User Flows, Natural Language Processing

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular nlp courses

  • Transfer Learning for NLP with TensorFlow Hub: Coursera
  • NLP: Twitter Sentiment Analysis: Coursera
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • ChatGPT Playground for Beginners: Intro to NLP AI: Coursera
  • Fine Tune BERT for Text Classification with TensorFlow: Coursera
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Hyperparameter Tuning with Keras Tuner: Coursera
  • Web Scraping With GPT: Translate Foreign News Headlines: Coursera
  • Medical Insurance Premium Prediction with Machine Learning: Coursera
  • Building Smart Business Assistants with IBM Watson: Coursera

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

Frequently Asked Questions about Nlp

Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language. It enables machines to understand, interpret, and generate human language in a valuable way. NLP is important because it powers various applications, from chatbots and virtual assistants to sentiment analysis and language translation. As businesses increasingly rely on data-driven insights, the ability to analyze and understand human language becomes crucial for enhancing customer experiences and making informed decisions.‎

Pursuing a career in NLP opens up a variety of job opportunities across multiple industries. Some common roles include NLP Engineer, Data Scientist, Machine Learning Engineer, and AI Research Scientist. These positions often involve developing algorithms and models that can process and analyze text data, creating applications that utilize NLP technologies, and conducting research to advance the field. As organizations continue to integrate AI and machine learning into their operations, the demand for skilled professionals in NLP is expected to grow.‎

To succeed in NLP, you will need a combination of technical and analytical skills. Key skills include programming languages such as Python or R, familiarity with machine learning frameworks, and a solid understanding of linguistics and language structure. Additionally, knowledge of data preprocessing techniques, statistical analysis, and experience with NLP libraries like NLTK or spaCy can be beneficial. Building a strong foundation in these areas will empower you to tackle complex NLP challenges effectively.‎

There are several excellent online courses available for those interested in learning NLP. For a comprehensive understanding, consider the Mastering NLP: Tokenization, Sentiment Analysis & Neural MT Specialization. Alternatively, the Applied NLP and Generative AI Specialization offers practical insights into applying NLP techniques. For a focus on modern architectures, the Introduction to Transformer Models for NLP Specialization is highly recommended.‎

Yes. You can start learning NLP on Coursera for free in two ways:

  1. Preview the first module of many NLP courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in NLP, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn NLP effectively, start by familiarizing yourself with the basics of programming and data science. Online courses can provide structured learning paths, allowing you to progress from foundational concepts to more advanced topics. Engage in hands-on projects to apply what you learn, and consider joining online communities or forums to connect with other learners and professionals. This collaborative approach can enhance your understanding and keep you motivated.‎

NLP courses typically cover a range of topics, including text preprocessing, sentiment analysis, language modeling, and machine translation. You may also explore advanced subjects like deep learning for NLP, sequence models, and transformer architectures. Practical applications, such as building chatbots or analyzing social media data, are often included to provide real-world context and enhance your learning experience.‎

For training and upskilling employees in NLP, consider courses that offer practical applications and industry-relevant skills. The Building AI Agents: Automation and NLP Foundations course is designed to provide foundational knowledge while focusing on automation. Additionally, the Natural Language Processing with Attention Models course can help employees understand advanced techniques that are increasingly important in the field.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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