Natural Language Processing Course in Coimbatore
Natural Language Processing Course is a very fascinating aspect of Artificial Intelligence wherein it enables the computer to understand, interpret and generate human language. From voice assistants to sentiment analysis, NLP is thereby changing the way the human race communicates with technology. Based at Xplore IT Corp, our course in Natural Language Processing is structured to prepare students in mastering this new-age technology. Whether you are a beginner or someone with prior coding experience, our course will guide you through the core concepts and advanced techniques of NLP.
Sign up for our program and get to know text processing, language modeling, machine translation and a whole lot more. With an industry-demanded curriculum, learning through hands-on projects and expert mentorship, you will be ready to face the opportunities in this burgeoning field. Join us and open doors into exciting career prospects.
Key Features
Highlights of Xplore IT Corp Natural Language Course
Course Overview
Our natural language processing course primarily deals with all the basic work that has gone into natural language processing from even the process of tokenization up to parsing to named entity recognition.
Hands-on Training
In addition to the training on the real time dataset, hands-on training will be conducted. One of the other practical applications in which the student would be received include text classification, sentiment analysis and chatting bot which would later deploy in the market.
Industrial Expert Trainers and Professionals
Learners get experience to learn from masters who have prior knowledge involving AI and NLP projects. The trainer patiently clears difficult concepts that come easy to a student.
Certification and Placement Assistance
After completing the NLP certified course, students get entitled to certification for better job opportunities. Our Placement team helps them get the most suitable job available in the market of AI after completion of training.
Flexible Learning
Both classroom as well as an online version are provided. Anyone can join based on a suitable schedule of any person to continue.
Usage of Tools
Industry and Programming Tools are going to be Python, NLTK, spaCy , TensorFlow with the help of practical building models to achieve the targets for NLP.
Natural Language Course Objective
Learn the fundamentals of NLP, including Tokenization, Stemming and Lemmatization-basically learning these.
Basics of NLP
Design an application for any kind of text processing, which requires either machine learning or deep learning models.
Build Text Processing Applications
Scaling up applications developed based on most widely used libraries including NLTK, spaCy and Transformers.
Work with NLP Libraries
Discover how to create chatbot applications by observing AI-driven dialogues and natural language processing techniques.
Creating Voice Assistants and Chatbots
Discover how to use sentiment analysis models to get insights from text data.
Analyze Text Data and Sentiment
Learn deploying the NLP model in real-world applications and how to make it industry-ready.
Deploy NLP Models
Benefits of Natural Language Course Certification
- After completion of the natural language processing course , you get certification from top companies. It will validate your expertise in NLP and increase the chance of getting hired. Having an NLP certified course certification makes your resume standout. Most AI and machine learning companies prefer certified candidates.
- Most NLP certified professionals will get more pay than the non-certified ones. This is because the NLP skills enhance the value of the employer and they will want to pay more for the certified professional.
- The natural language processing course certification allows you to apply anywhere in the world. Most industries include health, finance and e-commerce and all of them require NLP skills.
- This certification allows you to handle high-impact projects related to AI and machine learning. NLP skills from this ensure that you acquire advanced data science roles.
- It makes sure you have confidence with your NLP skills. It provides an assurance to the employer that you will be capable of handling complicated tasks related to language processing.
Benefits of Learning Natural Language Course at Xplore IT Corp
Understanding Human Language Processing
This natural language processing course will let you know what a machine does to human language. The most important condition to learn NLP is applying it to AI applications for virtual assistants or chatbots.
Career Opportunities
After completing the course in natural language processing, the students have a lot of opportunities in their careers in artificial intelligence, machine learning and data science.
Real-World Applications
The NLP solutions learnt in the class can be applied in customer services, health care, and finance sectors. We prepare the learner with practical solutions to apply on the real problems with high efficiency.
High Demand for NLP Skills
Most organizations recruit an employee possessing the NLP skill. This course helps one get prepared according to the increased requirement in the work environment.
Better Job Opportunities
The job environments of AI-driven companies will like NLP skills. You'll be ready for the job as NLP Engineer, Data Scientist and AI Researcher in this course.
Hands-on Experience
Students work on real projects, ensuring they understand NLP applications deeply. Practical learning is the key to mastering NLP concepts.
Syllabus of Natural Language Processing Course
C & C++ Programming
⦁ History
⦁ Features
⦁ Setting up path
⦁ Working with Python scripts
⦁ Basic Syntax
⦁ Variables and Data Types in scripting
⦁ Operators
⦁ If , If- else, Nested if-else statements
⦁ For, While loops
⦁ Nested loops
⦁ Control Statements
⦁ Accessing Strings
⦁ Basic Operations
⦁ String slices
⦁ Function and Methods
⦁ Accessing list
⦁ Operations
⦁ Working with lists
⦁ Function and Methods
⦁ Accessing tuples
⦁ Operations
⦁ Working
⦁ Functions and Methods
⦁ Accessing values in dictionaries
⦁ Working with dictionaries
⦁ Properties
⦁ Functions
⦁ Defining a function
⦁ Calling a function
⦁ Types of functions
⦁ Function Arguments
⦁ Anonymous functions
⦁ Global and local variables
⦁ Importing module
⦁ Math module
⦁ Random module
⦁ Packages
⦁ Composition
⦁ Printing on screen
⦁ Reading data from keyboard
⦁ Opening and closing file
⦁ Reading and writing files
⦁ Functions
⦁ Exception
⦁ Exception Handling
⦁ Except clause
⦁ Try ? finally clause
⦁ User Defined Exceptions
⦁ Class and object
⦁ Attributes
⦁ Inheritance
⦁ Overloading
⦁ Overriding
⦁ Data hiding
⦁ Match function
⦁ Search function
⦁ Matching VS Searching
⦁ Modifiers
⦁ Patterns
⦁ Architecture
⦁ CGI environment variable
⦁ GET and POST methods
⦁ Cookies
⦁ File upload
⦁ Connections
⦁ Executing queries
⦁ Transactions
⦁ Handling error
⦁ Socket
⦁ Socket Module
⦁ Methods
⦁ Client and server
⦁ Internet modules
⦁ Thread
⦁ Starting a thread
⦁ Threading module
⦁ Synchronizing threads
⦁ Multithreaded Priority Queue
⦁ Tkinter Programming
⦁ Tkinter widgets
⦁ Mail Communication in python scripts
Python Web App Development With Django
⦁ What is Django?
⦁ DRY programming: Don’t Repeat Yourself
⦁ How to get and install Django
⦁ models.py
⦁ urls.py
⦁ views.py
⦁ Setting up database connections
⦁ Managing Users & the Django admin tool
⦁ Django URL Patterns and Views
⦁ Designing a good URL scheme
⦁ Generic Views
⦁ Django Forms
⦁ Form classes
⦁ Validation & Authentication
⦁ Advanced Forms processing techniques
⦁ Unit Testing with Django
⦁ Using Python’s unittest2 library
⦁ Test
⦁ Test Databases
⦁ Scrapy – Overview
⦁ Scrapy – Environment
⦁ Scrapy – Spiders
⦁ Scrapy – Item Pipelines
⦁ Scrapy – Link Extractors
⦁ Scrapy – various output consoles
⦁ Define item
⦁ First spider project
⦁ Crawling Content
⦁ Extracting item
⦁ Scraped data
⦁ What is Flask?
⦁ Flask – Overview
⦁ Flask – Environment
⦁ Flask – Application
⦁ Flask – Routing
⦁ Flask – Variable Rules
⦁ Flask – URL Building
⦁ Flask – SQLite
⦁ Flask – SQLAlchemy
⦁ The core: Image – load, convert, and save
⦁ Smoothing Filters A – Average, Gaussian
⦁ Smoothing Filters B – Median, Bilateral
⦁ OpenCV 3 with Python
⦁ Image – OpenCV BGR: MatplotLIB
⦁ Basic image operations – pixel access
⦁ iPython – Signal Processing with NumPy
⦁ Signal Processing with NumPy I – FFT and DFT for sine, square waves, unitpulse, and random signal
⦁ Signal Processing with NumPy II – Image Fourier Transform: FFT & DFT
⦁ Inverse Fourier Transform of an Image with low pass filter: cv2.idft()
⦁ Image Histogram
⦁ Video Capture and Switching colour spaces – RGB / HSV
⦁ Adaptive Thresholding – Otsu’s clustering-based image thresholding
⦁ Edge Detection – Sobel and Laplacian Kernels
⦁ Canny Edge Detection
⦁ Hough Transform – Circles
⦁ Watershed Algorithm: Marker-based Segmentation I
⦁ Watershed Algorithm: Marker-based Segmentation II
⦁ Image noise reduction: Non-local Means denoising algorithm
⦁ Image object detection: Face detection using Haar Cascade Classifiers
⦁ Image segmentation – Foreground extraction Grabcut algorithm based on graph cuts
⦁ Image Reconstruction – Inpainting (Interpolation) – Fast Marching Methods
⦁ Video: Mean shift object tracking
⦁ Installation
⦁ Features and feature extraction – iris dataset
⦁ Machine Learning Quick Preview
⦁ Data Preprocessing I – Missing / Categorical data
⦁ Data Preprocessing II – Partitioning a dataset / Feature Scaling / Feature Selection / Regularization
⦁ Data Preprocessing III – Dimensionality Reduction vs Sequential Feature Selection / Assessing Feature importance via random forests
⦁ Data Compression via Dimensionality Reduction I – Principal component analysis (PCA)
⦁ Data Compression via Dimensionality Reduction II – Linear Discriminant Analysis (LDA)
⦁ Data Compression via Dimensionality Reduction III – Nonlinear mappings via kernel principal component (KPCA) analysis
⦁ Logistic Regression, Overfitting & regularization
⦁ Supervised Learning & Unsupervised Learning – e.g. Unsupervised PCA dimensionality reduction with iris dataset
⦁ Unsupervised Learning – KMeans clustering with iris dataset
⦁ Linearly Separable Data – Linear Model & (Gaussian) radial basis function kernel (RBF kernel)
⦁ Decision Tree Learning I – Entropy, Gini, and Information Gain
⦁ Decision Tree Learning II – Constructing the Decision Tree
⦁ Random Decision Forests Classification
⦁ Support Vector Machines (SVM)
Machine Learning Using Flask
⦁ Serializing with pickle & DB setup
⦁ Basic Flask App
⦁ Embedding Classifier
⦁ Deploy
⦁ Updating the Classifier
Our trainers are experienced AI and NLP professionals with practical experience in the industry. They had worked on real projects to do with text processing, chatbots and machine translation. At Xplore IT Corp, the concepts have been described in a very simple and structured way so that students can easily understand them. With all the experience, the trainer will ensure students understand how machine learning in NLP can be applied. The step-by-step guidance from the trainers would help the students learn each step so that anyone, even the novices, will find it easy to learn the lessons. Our trainers, if you want to learn NLP machine learning, make it smooth and interactive. They also offer industry insights and career guidance. In addition to our assistance, you would acquire both theoretical and practical knowledge of NLP.
Expert-Led Training
The trainers, who are trained by the best experts with years of experience in NLP and AI, ensure that the students can learn all the complex topics so easily.
Comprehensive Course Content
Our natural language processing course covers everything from the basics to advanced concepts, preparing students for industry challenges.
Learning by Practical
It is always about learning live projects that enhance their understanding of NLP.
Industry Recognition Certificate
Our NLP certified course is accepted by the industry leaders that increase the chance of getting a high paying job for the students.
Placement Assistance
We give career support, resume preparation and interview preparation to the students to get their desirable jobs.
Flexibility through Learning
Students can learn either in classroom or online mode so that they get flexibility and convenience.
Placement after completion of Natural Language Course
Strategic Industry Network
Our placement team interfaces students to top AI and tech companies.
Resume Building Support
We provide students with a professional resume explicitly drafted related to NLP jobs.
Mock Interviews
We bring industry experts for mock interviews. It will train them for a real job interview.
Internship Opportunities
We ensure our students get practical experience with AI-based companies by doing internship work.
100% Placement Guarantee
We stand behind our students till they find the right job to unlock their true potential with NLP.
Career Mentorship
Continual guidance is provided by our experts who help students with job opportunities, salary negotiations and further growth in their careers in NLP.
Job prospects after graduating from the course
NLP Engineer: Design and deploy NLP algorithms.
Data Scientist: Applied the knowledge of data science to find insights from the text data.
AI Developer: Developing AI systems especially with a sense of language.
Chatbot Developer: Develop chatbot AI especially for business
Machine Learning Engineer: Work focused on NLP applications in the field of ML.
Research Analyst: Research to improve NLP technology
Our in Demand Courses
Frequently Asked Questions
The Natural Language Processing Course is 3 months long and allows flexible class schedules.
Basic understanding of programming is preferred but we also have foundation classes for the first-timers.
You will work on NLTK, SpaCy, TensorFlow, other popular NLP tools and many more.
Yes, our NLP certified course certification is an industry-recognized certificate that employers give weight to.
We provide resume building, interview preparation and placement assistance to all our students.
Absolutely! We have flexible schedules to accommodate working professionals as well.
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