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Encertify’s Natural Language Processing with Python course will take you through the essentials of text processing all the way up to classifying texts using Machine Learning algorithms. You will learn various concepts such as Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing and so on using Python’s most famous NLTK package. Once you delve into NLP, you will learn to build your own text classifier using the Naïve Bayes algorithm.
This training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learned content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics, and Machine Learning have been discussed. This course is for anyone who works with data and text with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in the python programming language to enhance your learning experience.
Our NLP with Python Training is a good fit for the below professionals:
After completing this NLP training in Python, you will be able to:
Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users.
NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data.
The pre-requisites for this NLP course is knowledge of Python programming and a good understanding of Machine Learning concepts.
We provide a complimentary self-paced course in your LMS on Python to brush up on your Python Skills.
Towards the end of the course, you will be working on a project. You will be certified as a Natural Language Processing Engineer based on the project. Once you successfully submit your Natural Language Processing with Python certification project, it will be reviewed by the expert panel. After a successful evaluation, you will be awarded with Natural Language Processing Engineer certificate.
Birmingham, UK
Birmingham, located in the West Midlands, is rapidly growing as a major tech, digital and innovation city. Per CompTIA’s State of the Tech Workforce UK 2025, Birmingham is one of the top UK metropolitan areas by tech employment, with a strong rise in tech job postings. Manchester, Birmingham, London and Bristol are leading locations for tech workforce concentration.
Getting certified in Cloud Computing, DevOps, AI / Data Science & BI, Agile & Scrum, Project Management, Quality Management is a strategic move in Birmingham. Local employers in sectors such as advanced manufacturing, financial services, digital health, and smart city infrastructure are looking for talent who can deliver modern software, automate systems, manage data analytics, and lead complex projects.
With Birmingham’s cost of living lower than London, but with many big firms and digital agencies operating there, certification helps you stand out. Your skills can unlock roles in senior project leadership, infrastructure, data science, or DevOps—positions that are increasingly available in this growing UK tech centre.