Professional certification in Programming

NATURAL LANGUAGE PROCESSING (NLP) FUNDAMENTALS WITH PYTHON TRAINING

Our IT training courses are developed with industry-standards and career-focused technologies.


Speak to an advisor
Award:
Certification
Duration & Study Mode:
Full time, Part-time, Evening and Weekends, Virtual online
Location:
London, Flexible online
Duration: 2 Days / 2 Weeks

Natural Language Processing (NLP) Fundamentals with Python course is designed for IT professionals and Business Analysts who are looking forward to enhancing and upgrading their skills in the branch of AI (Artificial Intelligence) and ML (Machine Learning). NLP is a subset of AI, Computer Science, and Linguistics concerned with the effective interactions between Human Language and computers. In this course, you will learn about how computers interpret, understand, and manipulate human languages. Python is a high-level programming language, and the subject matter of this course also focuses on integrating Python programming language while working with Natural Language Processing. This course will help you to explore the methods of preprocessing Text for Analytics. Here, you will learn about the process of developing, configuring, and managing AI Systems for Project Managers. You may find both on-premise and online platforms to get enrolled in this course.

Prerequisites

  • No particular prerequisite is mentioned for this course
  • It is recommended that you have some basic knowledge of the Python programming language
  • It will be considered an added advantage if you are familiar with the Data and text Processing methods
  • It is also expected that you are familiar with the basic concept of AI, ML, and NLP
  • You must have a keen interest to learn and know the basics of NLP along with the high-level programming language Python

What will you gain after this course

  • You will be recognized as a certified NLP professional
  • You will learn about how to use a wide variety of open-source NLP libraries that are available for Python Developers
  • You will be able to develop prototypes for the NLP-based expert system using Python
  • The content of this course will allow you to explore new frameworks for Python programming languages like TensorFlow, Apache Flink, Apache Spark, and so on
  • You will be able to work with some real-life examples of NLP like speech recognition, google voice search, etc.

Jobs you can get
with a Natural Language Processing (NLP) Fundamentals with Python Certification

  • Natural Language Processing Specialist
  • Senior Data Scientist – Natural Language Processing
  • Application Developer – Natural Language Processing
  • Data Language Engineer
  • Senior Associate, Analytics – Natural Language Processing
  • Machine Learning Engineer

Corporate Group Training

  • Customized Training
  • Onsite / Virtual
  • Instructor-led Delivery
  • For small to large groups

Request Brochure

Top 10 IT Skills in Demand for 2023

Top 10 IT Skills in Demand for 2023

The global economy is constantly changing and evolving, so today's skills in high demand may not be as important ten years from now. This article

If you are not going to university how to get an IT job?

If you are not going to university how to get an IT job?

With the number of graduates in the IT field predicted to grow by 22% between now and 2024, it’s no surprise that there are

Google Certified Professional Cloud Architect Certification

Google Certified Professional Cloud Architect Certification

Cloud Architect professionals’ have adequate knowledge and skill to integrate Google Cloud infrastructure as part of the core IT platform for the company. These professionals

London IT Training Google

AWS Certified Cloud Practitioner

AWS Certified Cloud Practitioner

As by the name, it is evident that this course is a fundamental course in which the start will be taken from a very

CompTIA Server+ Certification

CompTIA Server+ Certification

An overview of CompTIA Server+ Certification: CompTIA Server+ certification recognises both the knowledge and experience of an IT Professional to configure, maintain and troubleshoot the

CompTIA A+ Certification

CompTIA A+ Certification

Competencies of CompTIA A+ certification for an entry-level IT Technician CompTIA A+ certifications certify the set of skill and knowledge required for an entry-level IT

MCSA Certification

MCSA Certification

MCSA (Microsoft Certified Solutions Associate) is a certification programme designed for individuals seeking entry-level positions in information technology (IT). It is required for advanced

IT Support Technician Courses Training

The roles of IT support technicians are significant for the IT department of any business. They are the key responsible person as the company's IT staff to keep any IT-related

London IT Training IT Technical

Coding Courses London

Our Programming and Development course portfolio caters to a wide range of learners, from beginners learning the fundamentals to experienced programmers honing their skills in multiple programming languages. These courses

IT Training Online

Online education and training have become more popular and convenient and also saw rapid progress in recent months due to COVID pandemic. But online learning has been around for quite

Short IT Courses Training

The rapid increase of modern digital technologies such as IoT, AI, applications and operations of robots have made the business sequences much easier and convenient for organisations and it can

AWS Courses

AWS (Azure Web Services) is an enterprise-level cloud platform from Amazon. We offer a list of AWS training to make you prepare to work effectively on this platform. Among the

Get a 10% discount

If you enrol two months in advance

Select your preferred training delivery mode

Who is this certification for?

  • Data Engineers
  • Business Analysts
  • Data Scientists
  • Python Application Developers
  • Analytics Managers
  • Python Programmers Interested in Learning NLP


Group-Icon2
Small Groups

With small groups of students, our instructors can work closely with each student.

Schedule
Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend, or evenings to suit your schedule.

Instructors
Experienced Instructors

Our instructors follow a modified are personalized approach to engage students during class

Lab-Facilities
Hi-Tech Lab Facilities

Our students can access our lab facilities anytime for practical experience during and after studies.

Syllabus

Module 1: Introduction to Natural Language Processing (NLP)

  • Overview of NLP: What is NLP, its importance, and applications.
  • Basic Terminology: Tokenization, stemming, lemmatization, stopwords, part-of-speech tagging.
  • Tools and Libraries:
  • Introduction to Python for NLP
  • Libraries: NLTK, spaCy, Gensim, TextBlob, and scikit-learn

Module 2: Text Preprocessing and Cleaning

  • Text Normalization: Lowercasing, punctuation removal, and handling special characters.
  • Tokenization: Breaking text into sentences and words.
  • Word Tokenization: Using NLTK and spaCy for word tokenization.
  • Sentence Tokenization: Breaking text into sentences for analysis.
  • Stopwords Removal: Using NLTK and spaCy to remove common words that don’t contribute much meaning.
  • Stemming: Reducing words to their root form using the Porter Stemmer.
  • Lemmatization: Converting words into their base form using WordNet Lemmatizer.

Module 3: Feature Extraction from Text

  • Bag of Words Model:
  • Introduction to vectorization: Converting text into numerical data.
  • Using CountVectorizer from scikit-learn for bag of words.
  • TF-IDF (Term Frequency - Inverse Document Frequency):
  • Explanation of TF-IDF and its importance in text representation.
  • Using TfidfVectorizer for extracting relevant features.
  • Word Embeddings:
  • Introduction to word embeddings: Word2Vec, GloVe.
  • Using Gensim to create word embeddings.

Module 4: Text Classification and Sentiment Analysis

  • Text Classification:
  • Overview of supervised learning in NLP.
  • Training a text classification model using Naive Bayes, SVM, and Logistic Regression.
  • Implementation with scikit-learn.
  • Sentiment Analysis:
  • Understanding sentiment analysis (positive, negative, neutral).
  • Using TextBlob and VADER for sentiment analysis.
  • Model Evaluation:
  • Accuracy, Precision, Recall, F1 Score.
  • Cross-validation and Hyperparameter Tuning.

Module 5: Named Entity Recognition (NER)

  • NER Basics: Identifying entities such as names, dates, locations, organizations.
  • spaCy for NER: Using spaCy’s pre-trained models for NER.
  • Custom Named Entity Recognition: Training a custom model to recognize new entities.

Module 6: Text Similarity and Semantic Analysis

  • Cosine Similarity: Measuring similarity between two documents.
  • sklearn’s TfidfVectorizer and cosine_similarity function.
  • Word2Vec for Semantic Analysis: Using Word2Vec for semantic analysis.
  • TextBlob for Proximity: Measuring semantic similarity between texts using TextBlob.

Module 7: Topic Modeling

  • Introduction to Topic Modeling: What is topic modeling and why it’s important.
  • Latent Dirichlet Allocation (LDA):
  • Understanding LDA and its application in extracting topics from text.
  • Implementation of LDA using Gensim.
  • Non-Negative Matrix Factorization (NMF): Another approach to topic modeling.

Module 8: Building NLP Pipelines

  • Creating an End-to-End Pipeline:
  • Integrating preprocessing, feature extraction, and model training into a pipeline.
  • Using scikit-learn's pipeline functionality for automation.
  • Automated Text Summarization:
  • Introduction to extractive and abstractive summarization techniques.
  • Building a simple extractive summarizer using NLTK and spaCy.

Module 9: Working with Advanced NLP Techniques

  • Text Generation with Recurrent Neural Networks (RNNs):
  • Introduction to Recurrent Neural Networks (RNNs) for text generation.
  • Building a simple RNN model for generating text using TensorFlow or Keras.
  • Transformer Models: Overview of transformer models, including BERT and GPT.
  • Fine-tuning pre-trained models for text classification tasks using Hugging Face's Transformers library.

Module 10: NLP Applications and Projects

  • Building Chatbots:
  • Understanding the basics of rule-based and machine learning-based chatbots.
  • Building a simple chatbot using Python and NLP techniques.
  • Real-World Project:
  • Sentiment analysis of product reviews.
  • Text classification for email categorization.
  • Topic modeling on a large corpus of news articles.

Module 11: Ethical Considerations and Challenges in NLP

  • Bias in NLP Models: Understanding and mitigating biases in training data.
  • Privacy Concerns: Handling sensitive data in text analysis.
  • Ethical Implications: Responsible use of NLP in real-world applications.

When would you like to start?

7/10/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
11/10/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
14/10/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
16/10/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
21/10/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
28/10/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
31/10/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
4/11/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
6/11/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
17/07/202410:00 – 17:00Wed5 WeeksClassroom / OnlinePlaces available Future Dates/Request Price
11/11/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
18/11/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
21/11/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
25/11/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
27/11/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
2/12/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
9/12/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
12/12/202417:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
16/12/202410:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
18/12/202410:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
06/01/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
13/01/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
16/01/202517:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
20/01/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
27/01/202510:00 – 18:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
29/01/202517:00 – 21:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
03/02/202510:00 – 18:00Mon - Fri5 DaysClassroom / OnlinePlaces available Future Dates/Request Price
10/02/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
12/02/202510:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
17/02/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
24/02/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
26/02/202517:00 – 21:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
03/03/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
10/03/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
12/03/202510:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
17/03/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
20/03/202517:00 – 21:00Thu5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
23/03/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price
26/03/202510:00 – 17:00Wed5 Weeks Classroom / OnlinePlaces available Future Dates/Request Price
31/03/202510:00 – 18:00Mon - Fri5 Days Classroom / OnlinePlaces available Future Dates/Request Price

Customers
Who We Work With

REQUEST FOR TRAINING


Frequently Asked Questions

Choosing a training center for any IT course is not an easy task. In order to earn extra credential to your IT career that will add values, you can undoubtedly choose London IT Career not only for the proven reputation but also for the opportunity to get highly skilled and experienced trainers. You will be highly motivated to accelerate you IT career in collaboration with London IT Training once you get the references from many other successful IT professionals working at well recognized and reputed IT companies, who had successfully completed IT courses from here.
You can expect to get excellent facilities from London IT Training for your preferred IT course. At London It Training, you will get well designed IT courses with updated resources, which are designed to be taught under the most meritorious trainers, over the UK. You can surely look ahead to get quality training along with desirable facilities that meet the global standard at London IT Training. Here, you can pick your required IT course at your convenient time as London IT Training is offering flexible schedule for the courses. Beside of these, you will get the access to the resources of your courses at anytime from anywhere, as London IT Training has uploaded all the course content online for its candidates.
At London IT Training, you will get both academic and administrative support, whenever you need and as per your requirement. We have a team of highly skilled and professional individuals who are ready to serve you by all means. You will find our trainers available even after the scheduled class time. London IT Training is also arrange group discussion among the participants and the Instructors, that will help you to get more out from the IT course you are attending. London IT Training is also helping the candidates for a better job placement, who have successfully completed the IT courses from here.
London IT Training continuously update the course content as the paradigm and practice of IT industry is changing and evolving more rapidly than ever before. Our courses are well organized, which will help you to get deep inside the subject matter without facing any difficulties. At London IT Training, the instructors are always keeping themselves busy not only to deliver the subject matter in a quality manner but also concerned about any changes that are required for the curriculum of the course.
In terms of recognition, you have nothing to worry about the IT courses offered by London IT Training. We have already earned the reputation as a training institute in the UK by putting our consistent effort on the training that we offered and also by working in collaboration with a significant number of reputed IT companies across the UK, for our Job placement program. IT professionals, who had successfully completed IT courses from London IT Training, are working with an outstanding reputation regarding the skill and experience, at their workplace and this is one of the key competencies of our training center.
Scroll Up