
5.0
Course Rating
2.9k+
Learners
Not set
Total Content
Beginner
Level
đŸ¤–Natural Language Processing with Deep Learning and Python
Understand how machines read text, build intuition for embeddings, RNNs, and Transformers, and use pre-trained models like BERT and GPT through Hugging Face to build a real NLP application.
Lifetime Access
Learn anytime. No deadlines.
Session Recordings
Rewatch sessions and learn at your pace.
Mentor Support
Get guidance and clear your doubts.
Community Access
Learn, connect, and grow together.
Tools & Technologies You'll Use

PyTorch
TensorFlow
Keras
NumPy
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Google Colab
Lifetime Access
Learn at your own pace, anytime, anywhere.
Certificate
Earn a verified certificate upon completion.
Hands-on Projects
Build real-world projects for your portfolio.
Mentor Support
Get guidance and clear your doubts.
Live Sessions Including
Topic Explanation
Learn concepts live with practical examples.
Doubt Clearing Sessions
Ask questions, clear doubts, and get help.
Hands-on Projects
Work on projects with guidance and support.
Mock Interview
Practise interviews and exchange feedback.
Session dates and times are scheduled based on community demand.
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Course Fee
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Benefits
Get Full Course Access
Earn a Verified Certificate
Pay as Much as You Wish
Risk-free. Start learning today!
After this course, you can
Process and analyze text data
Build NLP applications
Train text classification models
Use modern NLP libraries
Course Curriculum
Follow this structured learning path to build skills from beginner to advanced.
Lessons
Start here after enrolling. These lessons build your core foundation step by step.
What NLP Actually Is, and Why Text Is Harder Than Numbers
16 min
Tokenization: Chopping Sentences into Pieces
18 min
Cleaning Text: Lowercasing, Stopwords, Stemming vs Lemmatization
13 min
From Words to Numbers: Bag of Words and TF-IDF
19 min
Mini Project #1: Build a Spam Classifier with TF-IDF
19 min
Why Counting Words Isn't Enough: The Meaning Problem
15 min
The Big Idea: Words That Appear Together, Mean Similar Things
16 min
Word2Vec Intuition: CBOW and Skip-gram Without the Scary Math
19 min
GloVe and Pre-trained Embeddings: Standing on Google's Shoulders
16 min
Playing with Embeddings: King - Man + Woman = Queen
19 min
Visualizing Embeddings with t-SNE
16 min
Why "Bank" (River) and "Bank" (Money) Break Everything
18 min
Why Order Matters: "Dog Bites Man" vs "Man Bites Dog"
12 min
RNNs: A Network with Memory, One Word at a Time
17 min
The Vanishing Gradient Problem: Why RNNs Forget Long Sentences
13 min
LSTMs and GRUs: Gates That Decide What to Remember
14 min
Mini Project #2: Building a Sentiment Classifier with an LSTM
12 min
The Bottleneck: Why Sequential Processing Had to Go
13 min
Attention: Letting Every Word Look at Every Other Word
19 min
Self-Attention Step by Step: Queries, Keys, and Values
17 min
Multi-Head Attention and Positional Encoding: Order Without Recurrence
14 min
The Full Transformer: Encoders, Decoders, and What Goes Where
18 min
BERT vs GPT: Reading Both Ways vs Predicting the Next Word
17 min
Pre-training and Fine-tuning: Why Nobody Trains from Scratch Anymore
18 min
The Hugging Face Ecosystem: Hub, Transformers, Datasets, Pipelines
13 min
Pipelines in 5 Lines: Sentiment, Summarization, QA, Translation
15 min
Loading Models and Tokenizers Manually: What Pipelines Hide from You
12 min
Fine-tuning a Pre-trained Model on Your Own Dataset
18 min
Capstone Build: Review Radar, a Summarizer + Sentiment Dashboard
12 min
Deploying with Gradio, and Where to Go Next
17 min
Live Session Recordings
LiveLearn live with instructors, ask questions, and get real-time guidance. Previous recordings are included.
Topic Explanation
Learn concepts live with practical examples and guidance.
Doubt Clearing Sessions
Ask questions, clear doubts, and get help when you need it.
Hands-on Projects
Work on projects with guidance and support from mentors.
Mock Interview
Practise interviews, exchange feedback, and build confidence.
Bonus Resources
Get bonus content and resources to practise, revise, and go deeper.
Study Materials
Cheat Sheets
Interview Q&A
PYQ PDFs
PPTs
Quizzes
Requirements
What you should have before starting the course.
Basic Python programming knowledge
Familiarity with machine learning basics
Understanding of Python libraries
A computer with Python installed
Curriculum Designed & Verified by Industry Experts
Learn skills and concepts validated by industry professionals who use them in real-world work every day.

Aarav Sharma
Senior Frontend Engineer, StudioLabs
Aarav has mentored 1200+ learners and specializes in production UI systems and scalable frontend architecture.
LinkedIn
Ananya Mehta
Design Technologist, CraftLabs
Ananya blends design and code to help learners ship portfolio-ready projects.
LinkedIn
Kabir Sayed
Frontend Mentor, PixelWorks
Kabir focuses on clean code, accessibility, and practical frontend delivery.
LinkedInThis course is for you if you want to
Wherever you are in your journey, this course helps you learn, build, and grow with confidence.
Students & Fresh Graduates
Build a strong foundation and turn what you learn into practical experience.
Learn from beginner to advanced
Build real-world projects
Get feedback and improve
Working Professionals
Upgrade your skills and apply new knowledge directly in your career.
Learn in-demand skills
Apply directly to your work
Grow with practical knowledge
Career Switchers
Follow a clear path as you transition confidently into a new career.
Structured learning path
Hands-on practice
Mentor support at every step
Freelancers & Creators
Sharpen your craft and deliver better results for your clients and audience.
Work on client-ready projects
Improve efficiency and quality
Stay current with modern tools
For anyone who wants to learn, build, and grow. All you need is curiosity and a willingness to take the first step.
What you will get after completing this course
Receive an official course completion certificate
Live verification URL with PDF and downloadable option
Signed by your course designer and the Director of Shattak
Carries your name, course title, and completion date
Recruiters can check it in seconds from your LinkedIn or resume
Pay After Certification
Pay whatever you feel it is worth, only after you get certified. No questions asked.
Hear From Learners Who've Taken This Course
Honest feedback from learners who completed the live sessions.
4.8
24
Clear structure, solid examples, and a fast pace that keeps you engaged.
Riya Jain
B.Tech, NIT Trichy
4.6
18
Practical sessions with feedback that helped improve my portfolio.
Kabir Singh
Frontend Intern, PixelWorks
4.9
12
Loved the structure and the live walkthroughs.
M
Meera Patel
Design Graduate
Join Our Community, Ask Questions
Frequently Asked Questions
Students, working professionals, and career switchers who want to build job-ready web projects.
Basic familiarity with HTML or CSS is helpful, but the course includes beginner-friendly guidance.
Yes, recordings are shared after each live session.
Mentors provide live feedback and follow-up notes during the sessions.
Yes, you can ask questions in the community group and during live office hours.
Learners
2,853+
Duration
Not set
Get Life Time Access
₹0
₹399
100% off
Get Life Time Access
₹0
₹399
100% off