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Natural Language Processing (NLP) Engineer Certification Program (NLPPC)

Comprehensive Online Certification Course

4.8 out of 5 rating

Fee
  • INR 60,000
  • USD  1,150
Duration
  • Bootcamp (5 Months)
  • Part-time (7 Months)
    • Batches
  • Weekdays: Evening
  • Weekends: Morning & Evening
    • Natural Language Processing (NLP) Engineer Certification Program (NLPPC)

    17+ Years legacy 5.4K+ International Students

    Join our intensive online certification program to become a certified NLP Engineer. Master skills in text processing, language modeling, deep learning, and advanced NLP techniques to build AI-powered language systems. Enroll now to advance your career in one of the most dynamic fields of artificial intelligence!

     Enroll NowGet a discount

    95+ Hours Video

    20 Live Mentor Sessions

    e-LMS Content & Hands-on Sheet

    24*7 Email Support 

    One Dedicated Co-ordinator

    Why Choose the NLP Engineer Certification Program?

    65% Avg Salary Hike:

    Professionals with an NLP certification experience an average salary hike of 65% due to the high demand for NLP engineers who possess specialized knowledge in natural language understanding, text analytics, and AI-driven language models.

    Job Opportunities:

    According to LinkedIn’s AI Jobs Report, NLP-related roles are experiencing a 34% year-on-year growth rate. The demand is driven by the rapid adoption of chatbots, virtual assistants, and text analytics solutions in industries like finance, healthcare, and technology.

    Future Growth in NLP:

    The NLP market is projected to reach $44.96 billion by 2030, with enterprises increasingly integrating NLP for business intelligence, customer service automation, and sentiment analysis. Certified NLP professionals will be at the forefront of this expansion, developing cutting-edge AI solutions.

    ₹20 LPA to ₹38 LPA:

    Certified NLP Engineers in India can earn between ₹20 LPA and ₹38 LPA, while in the US, experienced professionals command salaries ranging from $125,000 to $175,000 annually. This reflects the value of advanced NLP skills in building intelligent language systems.

    Propel Your Career in NLP Engineering
    Develop your proficiency in:

    • Text Processing and Language Understanding: Learn the fundamentals of text mining, semantic analysis, and NLP pipelines.
    • Deep Learning for NLP: Master state-of-the-art models like BERT, GPT, and Transformer architectures.
    • Industry-Ready NLP Solutions: Build advanced NLP applications for domains such as healthcare, finance, and marketing.

    Elevate Your Career in NLP Engineering

    • $120,000: The average salary of an NLP Engineer in the United States.
    • 88,000+: Job postings in NLP Engineering across the USA.
    • 40% Growth by 2030: The field is experiencing rapid expansion, driven by the growing use of NLP in business intelligence and AI applications.

    Qualify for In-Demand Roles

    • NLP Engineer
    • AI Language Specialist
    • Text Analytics Expert

      The U.S. Bureau of Labor Statistics anticipates a 31% growth in NLP roles over the next decade, driven by advancements in AI-based language understanding and communication systems.

    TOC for Natural Language Processing (NLP) Engineer Certification Program (NLPPC)

    Foundations of Natural Language Processing

    • Overview of NLP: Key Concepts and Use-Cases
    • Text Processing Fundamentals: Tokenization, Stemming, and Lemmatization
    • Named Entity Recognition (NER) and Part-of-Speech (POS) Tagging
    • Language Models: n-grams, Word Embeddings, and One-Hot Encoding

    Text Mining and Semantic Analysis

  • Feature Engineering for Text Data
    • TF-IDF, Word2Vec, and GloVe Embeddings
    • Sentiment Analysis and Topic Modeling
    • Text Classification Using Naive Bayes, SVM, and Decision Trees

    • Deep Learning for NLP

  • Recurrent Neural Networks (RNNs) and Long Short-Term Memory Networks (LSTMs)
  • Transformer Architectures: BERT, GPT, T5
  • Sequence-to-Sequence Models for Machine Translation
  • Implementing Attention Mechanisms for Contextual Understanding

    • Speech Recognition and Audio Analysis

  • Automatic Speech Recognition (ASR) Techniques
  • Building Speech-to-Text Systems
  • Text-to-Speech (TTS) and Real-Time Speech Analytics
  • Implementing Voice-Based Virtual Assistants

    • Advanced NLP Techniques and Models

  • Neural Language Generation: Building Chatbots with Seq2Seq Models
  • Text Summarization and Paraphrasing Techniques
  • Entity Linking and Relation Extraction
  • Advanced Text Generation with GPT and Transformer-Based Models

    • NLP in Multimodal Systems

  • Combining NLP with Computer Vision for Multimodal Analysis
  • Image Captioning and Visual Question Answering
  • Multimodal Sentiment Analysis and Context Understanding
  • Designing AI Systems for Multimodal Interaction

    • NLP Applications in Industry Use-Cases

  • Healthcare: Automated Medical Reporting and NLP for Diagnostics
  • Finance: Fraud Detection, Risk Analysis, and Text Mining
  • Marketing: Sentiment Analysis, Customer Segmentation, and Chatbots

    • Capstone Project

  • Choose a Real-World Problem (Healthcare, Finance, or Retail)
  • Build a Complete NLP Solution Using Advanced Deep Learning Models
  • Present Findings and Implementation with Detailed Documentation
    • ”

    They Say

    “

    It really helped me for my project.

    Shreenidhee Nilesh Teli

    Student, MIT ADT University

    “

    Nicely planned with relevant topics and experts. Nicely organized

    Dr Gopal Pundlikrao Bharkad

    Academicians, Mumbai Veterinary College

    “

    Joined for the further training program, Excellent and Helpful, thanks.

    Dr. Dharmendra Chandraprakash Kothari

    Professor, Shri Shivaji Education Society Amravati's College of Engineering & Technology

    FAQs for NLP Engineer Certification Program

    What is an NLP Engineer?

    An NLP Engineer develops and implements models and algorithms that enable computers to interpret, understand, and generate human language.

    What skills will I learn in this program?

    You will master text mining, language modeling, deep learning for NLP, and building AI-driven language applications.

    How long does it take to complete the certification?

    The certification can be completed in 5 months (bootcamp) or 7 months (part-time).

    What are the prerequisites for enrolling in this program?

    Basic programming experience in Python and some familiarity with machine learning are recommended.

    How does this certification program help in career advancement?

    This program provides in-depth NLP skills, making you eligible for high-paying roles in AI language engineering and text analytics.

    Is this program available online?

    Yes, it is a fully online certification program with flexible learning options and mentor support.

    Will I receive a certificate upon completion?

    Yes, you will receive a globally recognized certificate upon successful completion.

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