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Natural Language Processing with Python

Live Online (VILT) & Classroom Corporate Training Course

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.

Expert-Led VILT & Classroom Hands-On CloudLabs Certification Voucher Available
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Overview

Natural Language Processing using Python 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 learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed.

Objectives

At the end of Natural Language Processing with Python training course, participants will be able to

  • Explain the basics of Natural Language Processing in the most popular Python Library: NLTK
  • Adapt techniques to access or modify some of the most common file types
  • Using I python notebooks, master the art of step by step text processing
  • Gain insight into the ‘Roles’ played by an NLP Engineer
  • Interpret Bag of Words Modelling and Tokenization of Text
  • Utilize n-Gram Models to model and analyze the Bag of words from Corpus
  • Interpret Latent Semantic Analysis and its usage in the processing of context-aware Semantic Content
  • Work with real-time data
  • Interpret Sentiment Analysis one of the most interesting applications of Natural Language Processing
  • Gain expertise to handle business in the future, living the present

Prerequisites

Working knowledge in Python. Good Understanding of Machine Learning Concept

Course Outline

  • Introduction
  • What is AI?
  • Philosophy of AI
  • Goals
  • What contributes to AI?
  • Programming without and with AI
  • Applications of AI
  • Types of Intelligence
  • Agents and Environments

  • Why Python for ML?
  • Anaconda – Overview and Installation
  • Using Jupyter Notebook
  • Variables
  • Comprehension
  • Functions and Modules
  • Concept of Classes and Objects

  • NumPy – Array manipulation
  • Pandas – Data Analytics
  • Matplotlib and Seaborn – Data Visualization
  • Sklearn – Machine Learning (Regression and Classification)

  • Introduction
  • History of NLP
  • Study of Human Languages
  • Ambiguity and Uncertainty in Language
  • Phases

  • Overview of Text Mining
  • Need of Text Mining
  • Using NLP
  • Applications of Text Mining
  • OS Module
  • Reading and Writing the files
  • Setting the NLTK environment
  • Accessing the NLTK corpora

  • Tokenization
  • Frequency Distribution
  • Different types of Tokenizers
  • Stemming
  • Lemmatization
  • Bigrams, Trigrams and Ngrams
  • Stopwords
  • POS Tagging
  • Named Entity Recognition

  • Regular Expressions
  • Syntax Trees
  • Chunking and Chinking
  • Context Free Grammars (CFG)
  • Automatic Text Paraphrasing

  • What is Text Classification?
  • How does Text Classification works?
  • Applications
  • Usecases

  • What is Text Summarization?
  • Steps involved in Summarization
  • Applications

Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

Client Stories

What our clients say

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