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    NLP Free Course with Certificate

    NLP Free Course with Certificate

    Learn Natural Language Processing and become a certified AI professional for free!

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    Prerequisites

    NLP Free Course Prerequisites

    The prerequisites for this introductory course are:

    • Python Programming Knowledge
    • Understanding of Linguistics
    • Knowledge of Statistics and Probability
    • Data Manipulation and Analysis
    • Machine Learning Fundamentals
    • Familiarity with Text Processing Techniques
    Course Prerequisites
    • 450,000 +
      Professionals trained
    • 250+
      Workshops every month
    • 100+
      Countries and counting

    Mastering Basics of Natural Language Processing

    Mastering Basics of Natural Language Processing

    18+ Hours of Self-Paced Learning

    Practice with Guided Hands-On Exercises

    Learn-by-Doing with Immersive Learning

    Test Your Learning with Recall Quizzes

    Unlock Knowledge with Interactive eBooks

    Accelerate Progress with Auto-Graded Assessments

    Stay ahead in the rapidly evolving AI landscape by immersing yourself in the world of Natural Language Processing (NLP) and its transformative elements. Dive into NLP and explore how advanced models like transformers are reshaping the field with our NLP free course.

    Unleash your capabilities to solve intricate challenges effortlessly using cutting-edge transformers, with our comprehensive 18-hour NLP free course. Gain valuable insights into computational linguistics, role-based language modelling, statistical machine learning, and deep learning models for NLP. Learn from the industry experts at KnowledgeHut and gain hands-on experience, shaping the AI future. Discover the limitless possibilities of NLP and unlock the power of transformers to become a proficient language processing expert.

    As more and more companies understand the use and need of NLP, the demand for skilled NLP professionals has naturally increased. By completing this course, you earn a free NLP certification from KnowledgeHut, validating your proficiency in creating cutting-edge technology using NLP.

    In our NLP free training, you'll learn from the industry experts at KnowledgeHut and gain hands-on experience, shaping the AI future. Discover the limitless possibilities of NLP and unlock the power of advanced NLP techniques to become a proficient language processing expert.

    Stay at the forefront of the AI landscape with our free NLP certification and learn how to leverage NLP for complex problem-solving. Enroll now to gain insights into NLP and its key components and elevate your skills in the growing field of language processing.

    Get ready to embark on this enlightening journey to excel in NLP and stay at the forefront of the AI landscape.

    Who Can Attend the Course

    Who Should Attend
    • Web Developers
    • Data Scientists
    • ML Engineers
    • Business Analysts
    • Researchers
    • Language Professionals
    • Education Professionals
    Can I learn
    What You Will Learn
    1
    Introduction to NLP

    Learn how natural language processing (NLP) works and its components.

    2
    Essentials of NLP

    Learn the fundamentals of NLP and the key terms associated with it.

    3
    NLP Feature Extraction

    Learn the process of extracting features from text data for use.

    4
    NLP with TextBlob

    Use the Python library for NLP tasks, such as sentiment analysis and text classification.

    5
    NLP with Spacy

    Use the Python library for NLP tasks, with a focus on speed and accuracy.

    6
    Evolution of NLP

    Learn about the origins of NLP, from its early days to the present scenario.

    WHY KNOWLEDGEHUT?

    The KnowledgeHut Edge

    Superior Outcomes

    Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform.

    Immersive Learning

    Go beyond just videos and learn hands-on with guided exercises, projects, assignments and more.

    Continual Support

    Learn better with support along the way. Get 24/7 help, stay unblocked and ramp up your skills.

    World-Class Instructors

    Course instructors and designers from top businesses including Google, Amazon, Twitter, and IBM.

    Real-World Learning

    Get an intimate, insider look at leading companies in the field through real-world case studies.

    Industry-Vetted Curriculum

    Six months of post-training mentor guidance to overcome challenges in your web development career.

    NLP Course Curriculum

    Curriculum

    1. Introduction to NLP

    Learning Objective:

    Get an introduction to Natural Language Processing. The main learning objective of this session is to learn what NLP is and its applications.

    Topics

    • What is Natural Language Processing?
    • History of Natural Language Processing
    • NLP Applications
    • NLP Levels
    • NLP Components
    • NLU
    • NLG
    • NLU vs NLG
    • NLP Pipeline and Tasks
    • NLP Toolkits and Libraries
    • NLP Challenges

    2. Essentials of NLP

    Learning Objective :

    Learn concepts like tokenization, PoS tagging, stop word removal, text normalization, spelling correction, stemming and lemmatization named entity recognition word sense disambiguation. And finally, we will end up the module with sentence boundary detection.

    Topics

    • Basic Text Analysis
    • Tokenization
    • POS Tagging
    • Stop Word Removal
    • Text Normalization
    • Spelling Correction
    • Stemming
    • Lemmatization
    • Named Entity Recognition (NER)
    • Word Sense Disambiguation
    • Sentence Boundary Detection

    3. NLP Feature Extractions

    Learning Objective

    The vectorization method will be covered in this module, including the back of the word, the frequency of the vector or the count vectorization, one hot encoded, distributed representation, word embedding, and finally, word2vec.

    Topics

    • Data Structures
    • Data cleans up with re - Demo
    • NLP Pre Processing
    • Data Collocations - Demo
    • Feature Extraction Methods
    • The Bag of Words
    • Frequency Vector
    • One-Hot Encoding
    • Term Frequency – Inverse Term Frequency
    • Distributed Representation
    • Word Embedding
    • Tokenizers - Demo
    • Stemming-Lemmatization and stop word removal - Demo
    • Vectorization – Demo

    4. NLP with TextBlob

    Learning Objective:

    In this module, you will learn about the NLP libraries. We will be focusing on the TextBlob library and its features.

    Topics

    • Introduction to TextBlob
    • Installation of TextBlob
    • Installing TextBlob - Demo
    • Language Detection
    • Language Detection - Demo
    • POS
    • POS - Demo
    • Word Inflection
    • Word Inflection - Demo
    • Sentiment Analysis
    • Sentiment Analysis – Demo

    NLP Free Course with Certificate

    NLP Free Course with Certificate

    1. What is NLP?

    NLP is short for Natural language processing, a technology sub-domain that helps machines, in this case computers understand and process human language(s). It is a rapidly growing domain with applications in healthcare, finance, customer service, etc.

    NLP uses a variety of techniques to identify the meaning of words and phrases, as well as the structure of sentences. It is a powerful tool used for automation, personalization, and improving interactions between machines and humans. As NLP continues to develop, one can expect to see even more innovative applications of this technology.

    2. Why learn NLP?

    Learning NLP can help explore the intricacies of human language and gain valuable skills in lucrative domains such as AI, data science, and linguistics. NLP is a rapidly growing domain with many applications, thus providing many career advancement opportunities.

    Here are some of the benefits of learning NLP:

    • Learn how to analyze, interpret, and generate textual content.
    • Gain a competitive edge in AI.
    • Process and extract valuable insights from unstructured textual data.
    • Contribute to language translation, sentiment analysis, and voice assistants.

    If you are interested in a free NLP certification, KnowledgeHut can help you.

    3. Which language is best for NLP?

    Python is a popular choice for NLP because it has a large and active community, many powerful libraries (e.g., NLTK and SpaCy), and a simple syntax. These factors make it easy to learn and use Python for NLP tasks.

    NLP practitioners and researchers prefer Python because it is efficient and effective for creating sophisticated NLP applications and algorithms. Python's versatility enables efficient data manipulation, feature extraction, and model building. This makes it an ideal language for analyzing and processing human language data.

    4. How can I learn NLP for free?

    KnowledgeHut offers a free NLP certification course that includes on-demand videos, hands-on exercises, interactive eBooks, and recall quizzes. This course is a great way to learn the basics of NLP and gain the skills required for you to start a career in this field.

    This is a self-paced course for you to learn at your own time convenience. If NLP is something that genuinely intrigues you, you can check out the free NLP courses on KnowledgeHut.

    5. What are the prerequisites to learn NLP?

    The prerequisites to learn NLP include a basic understanding of Python programming, linguistics, statistics, data manipulation, machine learning, and text processing. These skills will help you understand the concepts and techniques used in NLP and use them in real-world problems.

    If you are new to NLP, we recommend that you start by learning the basics of Python programming. With a solid foundation in the prerequisites, you will be well-positioned to learn NLP and apply it to your work.

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