Request a Quote(+91) 040 45 11 52 74
Get in Touch
Get in Touch
Industry-Leading NLP Training Program

Natural Language Processing Program

Text Preprocessing – TF-IDF & Word2Vec – Deep Learning for NLP – Transformers & BERT – Semantic Search – Sentiment Analysis – Question Answering

NLP

Gain hands-on experience with modern NLP workflows, text vectorization, transformers, BERT, semantic search, and real-world language AI applications. Build job-ready skills for roles such as NLP Engineer, AI Developer, and Machine Learning Engineer.

Talk To Expert

Start Your Journey Today

Fill in your details and we'll get back to you

500/500

We respect your privacy. Your information is 100% secure.

Batch Details & Schedule

Choose a learning format and schedule that fits your lifestyle

Session Time

1 - hour session per day

4 - Live Sessions per month(2-hours per session)

Course Duration

35 days

Next Course

NLP Gen AI & AI Automation

Alumni

Slack Group

WhatsApp Group

Download Complete Curriculum

Course Features & Highlights

Everything you need to become a successful AI & ML professional

Live Projects

Work on real-world projects from day one with industry use cases

Expert Trainers

Learn from industry professionals with 20+ years of experience

Learning Certification

Get certified and boost your resume with recognized credentials

Course Material

Access to course materials, pdf, videos, recorded sessions and other online resources

Internship

Internship Program Opportunities

  • Internship Program Opportunities

    After completion of NLP, Gen AI, Automation courses, can join in our internship program offers hands-on experience in real-world projects, allowing you to apply your skills and gain industry exposure. You'll work on projects that simulate real-world challenges, giving you a taste of what it's like to work in the field.

  • Selection criteria for internship

    Selection criteria for internship are based on the following factors:

    • Performance in the course
    • Online exam performance
    • Interview performance

  • Fees for internship

    Minimal fee for Tools and Subscription. This fee is applicable only for the internship program.

  • Internship certificate

    Issued industry-recognized internship completion certificate from Avowal Data Systems.

  • Internship Benefits

    Internship benefits are as follows:

    • Mock Interviews: Weekly mock interviews to prepare you for real job scenarios
    • Soft Skills Training: Communication, aptitude, and personality development sessions
    • Resume Building: Professional resume preparation and LinkedIn profile optimization
    • Job Search: Job search skills, assistance and support

Course Prerequisites & Eligibility

  • Basic understanding of programming concepts and Python fundamentals is beneficial
  • Dedication to complete hands-on labs, case studies, and capstone projects

Certification

  • Get industry-recognized certification that validates your skills and boosts your career prospects
  • Industry-recognized NLP course completion certificate from Avowal Data Systems
  • Digital certificate with a unique verification ID for easy authenticity checks

Complete Course Curriculum

Comprehensive modules covering every aspect of Natural Language Processing

  • Module 1: Python Basic and Tools Installation
    • Python Programming Fundamentals
    • Tools & IDE Installations (Jupyter, VS Code)
    • AI & ML Overview
    • Python Libraries for NLP (NLTK, SpaCy, Scikit-Learn, Transformers)
    • Working with Virtual Environments (venv, conda)
    • Package Management (pip, conda, requirements.txt)
    • Introduction to Git & GitHub for Code Collaboration
    • Data Handling Basics (NumPy, Pandas for text data)
    • Visualization Tools (Matplotlib, Seaborn for text analytics)
  • Module 2: Fundamentals of NLP & Text Preprocessing
    • Strings & Regular Expressions
      • Python String Operations
      • Regular Expressions
      • Code Walkthroughs for Python Problems
    • Text Preprocessing
      • Tokenization
      • Stop-word Removal
      • Stemming
      • Lemmatization
      • Text Cleaning Techniques
    • Deduplication
      • Text Data Cleaning Techniques
    • N-Grams
      • Unigram
      • Bigram
      • N-Gram Models
  • Module 3: Text Representation & Vectorization
    • Text Vectorization Concepts
      • Why Convert Text into Vectors?
      • Feature Engineering for NLP
    • Bag of Words (BoW)
      • Concepts & Code Samples
    • TF-IDF
      • Term Frequency & Inverse Document Frequency
      • Why Logarithm is Used in IDF
      • Practical Code Examples
    • Word2Vec
      • Word2Vec with Code Samples
      • Average Word2Vec
      • TF-IDF Weighted Word2Vec
    • Text Encodings
      • Text Encoding Techniques for ML & AI
      • Live Practical Sessions
  • Module 4: Deep Learning for NLP
    • Advanced Word2Vec
      • CBOW Architecture
      • Skip-Gram Model
      • Algorithmic Optimizations
    • RNNs & LSTMs
      • Why Use RNNs?
      • Types of RNNs
      • Need for LSTM & GRU
      • LSTM Networks
      • GRU Networks
      • Deep RNNs
      • Bidirectional RNNs
    • Transformers & BERT
      • Transformer Architecture
      • BERT Architecture
      • Fine-Tuning Techniques
    • Generative Models
      • GPT-1
      • GPT-2
      • GPT-3
    • Advanced Architectures
      • Attention Models
  • Module 5: Real-World Case Studies & Applications
    • Sentiment Analysis
      • Exploratory Data Analysis (EDA)
      • IMDB Sentiment Classification
    • Semantic Search
      • Semantic Search Engine for Q&A
      • Design & Code Implementation
      • ML System Design for Search Engines
  • Module 6: Chatbot Development
    • Introduction to Chatbots
    • Retrieval-Based Chatbots (FAQ Systems, Semantic Search)
    • Integration with APIs (OpenAI, Hugging Face)
  • Module 7: Live Sessions & Interview Preparation
    • Classical NLP to State-of-the-Art Models
    • BERT Code Walkthroughs
    • Transformers from Scratch
Contact Us for more details