Learn Natural Language Processing Online: Free Course with AI Tutor & Certificate
You'll start by building a customer support chatbot and quickly move to text generation. This free natural language processing course features 9 modules and 65 video lessons over about 1 hour. You'll master text preprocessing, sequence models, and transformers while working on four practical projects.
What you'll learn in this Natural Language Processing course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand the fundamentals of Natural Language Processing (NLP) and its real-world applications.
Perform text preprocessing, normalization, and representation using advanced techniques and libraries like NLTK and SpaCy.
Implement and evaluate language models, including N-grams, RNNs, and Transformers, for various NLP tasks.
Build and fine-tune sentiment analysis, text classification, and text generation models using machine learning and deep learning approaches.
Leverage modern NLP frameworks like Hugging Face to work with pretrained transformer models such as BERT and GPT.
Natural Language Processing course syllabus
01 Section 1: Introduction to NLP
- What is Natural Language Processing
- Applications of NLP
- History and Evolution of NLP
- Challenges in NLP
02 Section 2: Text Preprocessing
- Text Cleaning and Preprocessing
- Text Normalization
- Tokenization in NLP
- Stopwords Removal Techniques
- Stemming vs Lemmatization
- Handling Punctuation and Numbers
- Case Conversion in Text Processing
- Dealing with Emojis
- Extraction of a special characters
- Text Preprocessing using NLTK and SpaCy
03 Section 3: Text Representation
- Bag of Words Model Explained
- Text Representation Using Bag Of Words
- TF-IDF (Term Frequency–Inverse Document Frequency)
- One-Hot Encoding in NLP
- Word Embeddings Introduction
- Word2Vec Skip-gram and CBOW Models
- GloVe Word Embeddings
- FastText Embeddings
- Sentence Embeddings
- Universal Sentence Encoder
04 Section 4: Language Models
- How Large Language Models Work
- N-gram Language Models
- Markov Assumption in Language Modeling
- Perplexity in Language Models
- Recurrent Neural Networks for Language Modeling
- Transformers for Language Modeling
- Pretrained Language Models Overview
05 Section 5: Syntax and Parsing
- Parts of Speech Tagging
- Named Entity Recognition (NER) Basics
- Chunking and Shallow Parsing
- Dependency Parsing
- Constituency Parsing
- POS Tagging in NLTK and spaCy
06 Section 6: Sentiment and Text Classification
- Introduction to Sentiment Analysis
- Machine Learning Approaches for Sentiment Classification
- Deep Learning Approaches to Sentiment Analysis
- Text Classification using Naive Bayes
- Sentiment Analysis with Pretrained Models
- Real-World Applications of Sentiment Analysis
07 Section 7: Sequence Models in NLP
- Introduction to Sequence Modeling
- Recurrent Neural Networks (RNN) in NLP
- Limitations of RNNs (Vanishing Gradient Problem)
- Long Short-Term Memory (LSTM) Networks
- Gated Recurrent Units (GRU)
- Sequence-to-Sequence Models
- Attention Mechanism in NLP
- Encoder-Decoder Architectures
08 Section 8: Transformers and Modern NLP
- Introduction to Transformer Architecture
- Self-Attention Mechanism Explained
- Positional Encoding in Transformers
- BERT Model Explained
- GPT Models Explained
- Hugging Face Transformers Library
- Fine-Tuning Pretrained Transformer Models
09 Section 9: Text Generation
- Introduction to Text Generation
- Markov Chain Text Generation
- LSTM for Text Generation
- GPT for Text Generation
- Text Summarization Techniques
- Abstractive vs Extractive Summarization
- Evaluation Metrics for Text Generation
Real-world projects you'll work on
Practice the exact kind of work Natural Language Processing professionals do on the job.
Sentiment Analysis for Customer Feedback at Amazon
Text Summarization for News Articles using GPT for Google News
Named Entity Recognition for Financial Documents at Goldman Sachs
Chatbot Development for Customer Support at OpenAI
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Natural Language Processing course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Data science students wanting to specialize in text analytics and modern AI models.
- Working software engineers looking to transition into machine learning roles in India.
- Python developers who want to build chatbots and automated text summarization tools.
- AI enthusiasts eager to understand how tools like GPT and BERT actually function.
Prerequisites
- Basic understanding of Python programming and general machine learning concepts.
- Familiarity with data manipulation libraries like Pandas is helpful but not strictly required.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Natural Language Processing course: free, structured and job-focused
You'll learn to build a customer support chatbot similar to those used at OpenAI, setting the stage for mastering modern text generation. This natural language processing course takes you from simple NLP basics to advanced machine learning applications. Starting with your first lesson, What is Natural Language Processing, you will progress through 9 structured modules. You'll explore Text Preprocessing, Text Representation, and Language Models before moving to Syntax and Parsing. The curriculum then covers Sentiment and Text Classification, Sequence Models in NLP, Transformers and Modern NLP, and finally Text Generation.
To ensure you can apply these concepts in the real world, you will complete four hands-on projects. You'll handle Sentiment Analysis for Customer Feedback at Amazon and build Text Summarization for News Articles using GPT for Google News. You will also tackle Named Entity Recognition for Financial Documents at Goldman Sachs alongside your Chatbot Development for Customer Support at OpenAI. By the end of this nlp training, you'll comfortably use libraries like NLTK, SpaCy, and Hugging Face to work with pretrained models such as BERT and GPT.
LearnTube makes learning nlp online highly interactive. We curate the best YouTube video lessons and pair them with an AI tutor that tests your knowledge. You get a quick quiz after every single one of the 65 video lessons to reinforce what you just watched. The entire 1-hour curriculum is completely free to learn. If you want to prove your new skills to our 900+ hiring partners, an optional paid nlp certification is available once you finish.
Jobs you can target after learning Natural Language Processing
Natural Language Processing is a gateway skill for some of the fastest-growing roles in tech.
Builds and trains models to understand and generate human language.
Analyzes large datasets and applies machine learning algorithms to extract business insights.
Designs and deploys scalable AI models for production environments.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a Natural Language Processing certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Natural Language Processing course.
Is natural language processing still in demand?
Yes, it's one of the fastest-growing fields in tech. Companies constantly need professionals to build chatbots, analyze customer feedback, and develop generative AI tools. Mastering these skills makes you highly valuable to modern employers.
Is this NLP course really free?
Absolutely. You can watch all 65 video lessons and take every AI-curated quiz without paying anything. We only charge a fee if you decide to purchase the optional certificate after completing the material.
How much does the NLP certification cost?
The certificate is available for a small fee that varies based on your region and current platform offers. You can check the exact pricing on your dashboard once you finish all 9 modules.
How does LearnTube differ from watching regular YouTube videos?
We provide a structured path instead of scattered videos. You get an organized curriculum, four practical projects, and an AI tutor that quizzes you after every lesson to ensure you actually retain the information.
Will I learn how to use ChatGPT and BERT?
Yes. The final modules focus specifically on modern transformers. You will use Hugging Face to work with pretrained models like BERT and GPT, applying them to text generation and summarization tasks.
Do I need to know Python before starting?
Yes, you should have a basic grasp of Python. Since you will be using libraries like NLTK and SpaCy, knowing fundamental programming concepts will help you complete the hands-on projects much faster.
Can I complete this training on my phone?
Yes, the platform works perfectly on mobile devices. You can watch the curated video lessons and complete the AI quizzes anywhere, making it easy to fit study time into a busy schedule.
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