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Natural Language Processing (NLP) with Python Certificate Course

CertOcean's Natural Language Processing (NLP) with Python training is a live, instructor-led online course. You learn in 14 live sessions (18 hours in total) with an expert instructor, work through 6 curriculum modules with hands-on assignments and keep lifetime access to the class recordings.

4.9Rated Excellent on Trustpilot
  • 18 hoursLive training
  • 14 sessionsWith an instructor
  • 6 modules48 topics
  • Mon, Oct 26Next batch
NLP NLP · PythonLive instructor-led training
$319 $390 One-time · USD
You save$7118% off
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Course overview

About the Natural Language Processing (NLP) with Python training

NLP with Python training teaches you to process, analyze and classify human language with code.

Why learn natural language processing?

  • NLP powers chatbots, search and generative AI tools, one of the fastest-growing areas of AI.
  • Companies across tech, healthcare and finance need people who can work with text data.
  • NLP professionals are well paid.

This course includes

  • Instructor-led sessions18 hours of live online classes. Weekend batch: 6 sessions of 3 hours each.
  • Real-life case studiesWork on a live project based on a real use case, applying NLP concepts in Python.
  • AssignmentsEvery class is followed by practical assignments, adding up to at least 20 hours of practice.
  • Lifetime accessKeep lifetime access to the LMS, including slides, quizzes, installation guides and class recordings.
  • 24/7 expert supportOur support team is available 24x7 to answer technical questions through a ticket-based system, for life.
  • CertificationComplete the final project to receive CertOcean's Natural Language Processing Engineer certificate.
  • ForumUse the community forum to learn through peer discussion and knowledge sharing.

What you'll learn in this course

  • Understand text mining and natural language processing basics
  • Extract, clean and pre-process text data with Python
  • Apply tokenization, stemming, lemmatization and POS tagging
  • Analyze sentence structure with parsing and named entity recognition
  • Turn text into features with vectorization methods
  • Build a machine learning model that classifies sentiment in movie reviews

What is the NLP with Python course?

The NLP with Python course is a step-by-step guide to natural language processing and text analytics in Python, packed with real-life examples. It covers text processing, semantic analysis, sentiment analysis and machine learning for text. It suits anyone who works with text data and has some analytical background and Python experience. By the end, you can build your own machine learning model for text classification and apply NLP to practical cases.

Why learn natural language processing?

Natural language processing, also called text analytics or text mining, uses algorithms to analyze large collections of text such as books, news, emails and social media. Algorithms can read far more text than any person, which is why NLP powers chatbots and virtual assistants that answer huge numbers of questions. NLP is a key technology for bridging human language and digital information.

What will you learn in NLP with Python training?

After this course, you will be able to:

  • Apply NLP basics with Python's NLTK library
  • Read and write common file types
  • Work step by step in Python notebooks
  • Understand the role of an NLP engineer
  • Tokenize text and build bag-of-words models
  • Model and analyze text with n-grams
  • Convert text to vectors with word counts and TF-IDF
  • Work with real-world text data
  • Perform sentiment analysis

Who should take NLP with Python training?

This course suits:

  • Anyone with programming exposure, from students to technical architects and leads
  • Developers who want to become data scientists
  • Analytics managers who lead teams of analysts
  • Business analysts who want to learn text mining
  • Python professionals who want to build predictive models on text

What are the prerequisites for NLP with Python training?

You need a good understanding of Python programming and machine learning concepts. CertOcean includes a free self-paced Python course in your LMS to help you brush up.

What are the system requirements for NLP training?

You don't need to worry about system requirements. You do your practicals in a cloud lab environment that has everything installed.

How do the hands-on NLP practicals work?

You do all assignments and case studies in the lab environment. The access details are in your LMS.

Curriculum

Natural Language Processing (NLP) with Python course syllabus

6 modules · 48 topics · 18 hours of live training

Introduction to Text Mining and NLP 9 topics
  • Learning goal: Learn text mining and how to extract and read text from common file types and NLTK corpora.
  • Overview of text mining
  • Why text mining matters
  • NLP in text mining
  • Good candidates for text mining
  • The os module
  • Reading and writing text and Word files
  • Setting up NLTK
  • Accessing NLTK corpora
Extracting, Cleaning and Preprocessing Text 14 topics
  • Learning goal: Extract and clean text with NLTK.
  • Tokenization and types of tokenizers
  • Frequency distributions
  • Bigrams, trigrams and n-grams
  • Stemming
  • Lemmatization
  • Stopwords
  • Part-of-speech (POS) tagging
  • Named entity recognition (NER)
  • Tokenize text
  • Build bigrams, trigrams and n-grams
  • Remove stopwords
  • Tag parts of speech
  • Recognize named entities
Analyzing Sentence Structure 7 topics
  • Learning goal: Analyze sentence structure and how words group into phrases and sentences.
  • Syntax trees
  • Chunking and chinking
  • Context-free grammars (CFGs)
  • Parse syntax trees
  • Use chunking and chinking
  • Automate text paraphrasing with CFGs
Text Classification I: Vectorizing Text 9 topics
  • Learning goal: Learn text classification and turn text into numbers with scikit-learn.
  • Machine learning refresher
  • Bag of words
  • CountVectorizer
  • Term frequency (TF)
  • Inverse document frequency (IDF)
  • Apply the bag-of-words approach
  • Work with CountVectorizer
  • Use TF-IDF
Text Classification II: Building a Classifier 6 topics
  • Learning goal: Build a machine learning classifier for text.
  • Converting text into features and labels
  • The multinomial Naive Bayes classifier
  • Evaluating models with a confusion matrix
  • Classify text with multinomial Naive Bayes
  • Evaluate results with a confusion matrix
In-Class Project: Movie Review Sentiment Classification 3 topics
  • Apply every text processing step, starting with tokenization
  • Complete a text mining project from start to finish
  • Combine text processing with machine learning

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Upcoming batches

Next Natural Language Processing (NLP) with Python batches

Live online classes with an instructor, 9:00 AM to 5:00 PM Eastern Time (ET).

Weekday batch

Starts Monday, October 26

Starts in 2 days · Live online

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Weekend batch

Starts Saturday, October 31

Starts in 7 days · Live online

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Sample certificate
Certification

Earn your Natural Language Processing (NLP) with Python certificate

  • Certificate of completionIssued by CertOcean when you finish the training and assignments.
  • Show it to employersAdd it to your LinkedIn profile and resume.
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Learner reviews

Why learners choose CertOcean

Rated Excellent · 4.9 out of 5 on Trustpilot
The training curriculum was great. CertOcean provided me everything required to obtain my CISM. They're excellent!
Laxmi Haya Vadan KaramcheduUnited States · CISMVerified
Very resourceful company, I passed my PMP exam at first attempt, highly recommended.
IjeomaCanada · PMPVerified
Great training support! Helped me pass several certifications.
Cozumel TyUnited StatesVerified
  • US, Canada and UK hoursClasses set around your working day
  • Expert instructorsWorking professionals in your field
  • Career supportResume and interview help
FAQ

Natural Language Processing (NLP) with Python course FAQs

Can't find your answer? A course advisor can help with the syllabus, batch dates and exam questions.

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How much does the Natural Language Processing (NLP) with Python course cost?

The Natural Language Processing (NLP) with Python training costs $319, down from the regular $390 (you save 18%). It is a one-time payment in US dollars, and you can pay securely by card or PayPal.

How long is the Natural Language Processing (NLP) with Python course, and when does it start?

The course runs for 18 hours of live, instructor-led online training across 14 sessions. Weekend and weekday batches are available, and the next batch starts on Monday, October 26, 2026.

What if I can't attend an NLP class?

You won't miss any content. You can choose either option:

  • Watch the recorded session in your LMS.
  • Attend the missed session in another live batch.
Can I get help with questions after class?

Yes. Our support team is available 24x7 to help with your questions during and after the course.

How soon after signing up can I access the course content?

Right after you enroll. You get lifetime access to class recordings, guides, PDFs and assignments, plus 24x7 expert support.

Can I access the course material after the course ends?

Yes. Once you enroll, the study material stays available to you for life.

Will I get a certificate after the Natural Language Processing (NLP) with Python training?

Yes. You receive a CertOcean certificate of completion when you finish the training.

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