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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.
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Milwaukee’s economy blends strong manufacturing heritage with growing healthcare, education, logistics, and enterprise services. As companies adopt digitalization, the need for tech and process-savvy talent is rising.
Certification in Quality & Process Improvement, Project Management, Agile & Scrum, Cloud & DevOps, AI / Data Science & BI can give you a competitive edge. Many regional manufacturers and supply-chain firms are implementing automation, IoT, and analytics—demanding professionals who understand both operational systems and modern software practices. Health systems and universities also look for data analysts, BI professionals, and cloud engineers to power research and hospital analytics.
By pursuing certification, you make yourself attractive to employers who need hybrid experts—people who understand industrial operations, data systems, and modern delivery frameworks. In Milwaukee, your credentialed skills can help you bridge classic industries with tomorrow’s digital opportunities.