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đŸ¤–Natural Language Processing with Deep Learning and Python course preview

5.0

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Beginner

Level

Level: Beginner

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

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.

Learn First. Pay Later.

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₹399

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Benefits

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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

Live

Learn live with instructors, ask questions, and get real-time guidance. Previous recordings are included.

Topic Explanation

Learn concepts live with practical examples and guidance.

Weekly Once

Doubt Clearing Sessions

Ask questions, clear doubts, and get help when you need it.

Weekly Twice

Hands-on Projects

Work on projects with guidance and support from mentors.

Monthly Once

Mock Interview

Practise interviews, exchange feedback, and build confidence.

Daily

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

Aarav Sharma

Senior Frontend Engineer, StudioLabs

Aarav has mentored 1200+ learners and specializes in production UI systems and scalable frontend architecture.

LinkedIn
Ananya Mehta

Ananya Mehta

Design Technologist, CraftLabs

Ananya blends design and code to help learners ship portfolio-ready projects.

LinkedIn
Kabir Sayed

Kabir Sayed

Frontend Mentor, PixelWorks

Kabir focuses on clean code, accessibility, and practical frontend delivery.

LinkedIn

This 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

Illustration of a verified course completion certificate

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

Riya Jain

B.Tech, NIT Trichy

4.6

18

Practical sessions with feedback that helped improve my portfolio.

Kabir Singh

Kabir Singh

Frontend Intern, PixelWorks

4.9

12

Loved the structure and the live walkthroughs.

M

Meera Patel

Design Graduate

See what they have built

ZS

Zainab Shaikh

Portfolio Landing Page

Portfolio Landing Page

300 Likes

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DS

Devendra Singh

Product Marketing Site

Product Marketing Site

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Interactive Web Story

Interactive Web Story

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