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  2. Nlp

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


  • I

    IBM

    Generative AI for NLP with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Computer Vision, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms

    4.4 stars, 2.1K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.4 (2.1K) · Advanced · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • G

    Google Cloud

    Natural Language Processing on Google Cloud

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, AI Workflows, Artificial Neural Networks, LLM Application, Generative Model Architectures, Cloud API, Feature Engineering, Model Training

    4.4 stars, 540 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.4 (540) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Packt

    Deep Learning, NLP, and AI Applications

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training

    Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • B

    Board Infinity

    Transformers and NLP: Fine-Tuning Models with Hugging Face

    Skills you'll gain: Model Evaluation, Fine-tuning, Model Optimization, Hugging Face, Model Deployment, Model Training, Transfer Learning, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, LLM Application, Generative Model Architectures, Data Preprocessing, Data Pipelines, Version Control, Git (Version Control System)

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
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  • P

    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Fine-tuning, Containerization, Model Optimization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Agentic Workflows, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Image Analysis, Large Language Modeling, Natural Language Processing, Python Programming

    4.7 stars, 7 reviews, Advanced, Specialization, 1 - 3 Months

    ★ 4.7 (7) · Advanced · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial

What brings you to Coursera today?

  • E

    Edureka

    Advanced Deep Learning Architectures

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, PyTorch (Machine Learning Library), Large Language Modeling, AI Enablement, Artificial Intelligence

    Advanced · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision

    4.7 stars, 49 reviews, Advanced, Guided Project, Less Than 2 Hours

    ★ 4.7 (49) · Advanced · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • A

    Amazon Web Services

    Gen AI Dev- Optimize Application Performance

    Skills you'll gain: Retrieval-Augmented Generation, Performance Tuning, Generative AI Agents, Model Optimization, Vector Databases, Generative AI, Prompt Engineering, Agentic Workflows, A/B Testing, Performance Testing, Amazon CloudWatch, Amazon Web Services, API Gateway, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Software Development, Serverless Computing, Natural Language Processing, Cloud Computing, Machine Learning

    Advanced · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • J

    John Wiley & Sons

    Advanced Machine Learning, Neural Networks, and NLP

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Image Analysis, Statistical Machine Learning, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Text Mining, Decision Tree Learning, Advanced Analytics, Convolutional Neural Networks, Model Optimization, Data Science, Data Processing, Logistic Regression

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • M

    Microsoft

    Microsoft Recommender Systems Engineering with LinkedIn

    Skills you'll gain: Model Deployment, Model Training, Feature Engineering, AI Personalization, Databricks, Large Language Modeling, Model Evaluation, Model Optimization, Vector Databases, Predictive Modeling, MLOps (Machine Learning Operations), Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Embeddings, LLM Application, Cloud-Native Computing, Program Evaluation, Artificial Neural Networks, Python Programming

    Advanced · Professional Certificate · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines

    Advanced · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • A

    Amazon Web Services

    Gen AI Dev- Implement App Integration Patterns & Dev Tools

    Skills you'll gain: Generative AI, Infrastructure as Code (IaC), Model Deployment, Personalized Service, Maintainability, Software Development Tools, Prompt Engineering, AI Personalization, Software Development, Amazon Web Services, Customer Relationship Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Process Automation, Amazon DynamoDB, DevOps, Amazon S3, Cloud Computing, Machine Learning, Natural Language Processing

    Advanced · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial

What brings you to Coursera today?

1234…9

Best Nlp courses from Packt

Top-rated Nlp courses offered by Packt on Coursera.

  1. 1
    Deep Learning, NLP, and AI Applications
    PacktAdvanced1 - 3 Months5.0(1)Packt
  2. 2
    AI Engineer Professional
    PacktAdvanced1 - 3 Months4.7(7)Packt

Best Nlp certificate programs

Earn a certificate in Nlp from top universities and companies.

  1. 1
    Generative AI for NLP with PyTorch
    IBMAdvanced3 - 6 Months4.4(2,125)Specialization
  2. 2
    Advanced Deep Learning Architectures
    EdurekaAdvanced1 - 3 Months2.7(3)Specialization
  3. 3
    Microsoft Recommender Systems Engineering with LinkedIn
    MicrosoftAdvanced3 - 6 MonthsProfessional Certificate

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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