Natural Language Processing Training
Natural Language Processing Training Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Robotics by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Scientists and Analysts: Professionals looking to extract insights from unstructured text data by integrating natural language processing (NLP) tools into their workflows are known as data scientists and analysts.
Machine Learning Engineers: People who want to increase their proficiency in creating natural language processing (NLP) models and incorporating them into AI-powered applications.
Software Developers: Software developers are those that work to create or improve applications that can speak natural languages, like chatbots or language translation software.
Linguists and Language Enthusiasts: Linguists and language enthusiasts are those with a background in linguistics who want to use what they’ve learned to help create artificial intelligence (AI) systems that can understand language.
Business professionals working in AI fields: People working on AI-driven initiatives who must comprehend how to use natural language processing (NLP) technologies to solve business problems.
NLP Engineer: Creating and refining natural language processing (NLP) models for automatic translation, voice assistants, and chatbots.
Data Scientist (NLP Specialist): Using NLP approaches to glean insights from vast amounts of textual data is what a data scientist (NLP specialist) does.
AI/ML Engineer: Developing cutting-edge AI systems with an emphasis on generating and comprehending natural language.
Speech Recognition Specialist: Creating and refining voice command processing and speech-to-text systems.
Chatbot Developer: Creating and deploying intelligent chatbots for business automation and customer support.
These positions, which offer excellent pay and chances for career advancement in both the USA and Canada, are in high demand in sectors like technology, healthcare, finance, and e-commerce.
- What is the process of natural language processing?
- NLP uses in business
- Methods for Preprocessing Text
- Tokenisation, stop words, stemming and lemmatisation
- Using NLTK and spaCy
- Tokenization and text normalization
- Stop word removal
- Stemming and lemmatization
- Regular expressions for text cleaning
- Handling noisy and unstructured text
- Practical preprocessing assignments
- Bag of Words (BoW)
- TF-IDF vectorization
- N-Grams and frequency analysis
- Methods for Vectorising Text
- Exploratory Data Analysis of Textual Data
- Naive Bayes for Text Classification
- For NLP, use Logistic Regression
- Sentiment Analysis Initiative
- Metrics for evaluation (Precision, Recall, F1 Score)
- How to Deal with Unbalanced Text Data
- Named Entity Recognition (NER)
- Part-of-Speech (POS) tagging
- Dependency parsing
- Language modeling basics
- Topic modeling concepts
- Practical NLP implementation exercises
- An Introduction to Neural Networks for Text
- RNN and LSTM
- Networks of GRU
- Models that go from one sequence to another
- The Basics of Text Generation
- Mechanism of Attention
- A Look at Transformer Architecture
- Pretrained Models: A Look at BERT
- Fine-Tuning Transformer Models
- Recognising Named Entities (NER)
- NLP Project presentation
- Questions for a Mock Interview
- Making a Resume and Portfolio
Those who work with computers, data scientists, AI enthusiasts, and ML engineers are the ideal candidates for NLP training.
Yes, it is best to have some basic knowledge of Python.
The duration is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech.
Yes, the training can help learners understand advanced AI concepts and prepare for research-oriented projects.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
- Engineer in NLP
- Engineer for Machine Learning
- Engineer AI
- Scientist of Data
- Expert in Text Analytics
Yes, it helps people get ready for NLP and AI certification.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
Email info@checkmateittech.com OR Call Us +1-347-4082054
- Submit Form
Job opportunities in USA and Canada
Data Scientists and Analysts: Professionals looking to extract insights from unstructured text data by integrating natural language processing (NLP) tools into their workflows are known as data scientists and analysts.
Machine Learning Engineers: People who want to increase their proficiency in creating natural language processing (NLP) models and incorporating them into AI-powered applications.
Software Developers: Software developers are those that work to create or improve applications that can speak natural languages, like chatbots or language translation software.
Linguists and Language Enthusiasts: Linguists and language enthusiasts are those with a background in linguistics who want to use what they’ve learned to help create artificial intelligence (AI) systems that can understand language.
Business professionals working in AI fields: People working on AI-driven initiatives who must comprehend how to use natural language processing (NLP) technologies to solve business problems.
