Level: Beginner
Build NLP Pipelines and Understand Transformer Models
Learn modern HTML, CSS, and responsive layout techniques through live mentor-led sessions and a real-world project.
4.8
3.2k+ learners
Duration
9 hr
Learners
3.2k+ Enrolled Students
Session Recording
Lifetime Access
Post Session
Mentor support
Session Schedule
23
May
Session 1 � Saturday � 2h 15m
8:00 pm to 10:15 pm
24
May
Session 2 � Sunday � 2h 15m
10:00 am to 12:15 pm
30
May
Session 3 � Saturday � 2h 20m
2:00 pm to 4:20 pm
31
May
Session 4 � Sunday � 2h 10m
8:00 pm to 10:10 pm
Get Life Time Access
?1,199
?1,500
Discount 20% off
Course Fee
?1,199
Worth of
?1,500
Discount
20% Off
Includes
� Expert Designed Curriculum
� Doubt Clearing Session
� Forever Community Access
Outcomes Of This Sessions
What you will build during the live classes.
About the Project
Learn how modern NLP systems work, from preprocessing text to building transformer-based models. Implement text classification, sentiment analysis, and embeddings. Understand how large language models are built and applied in production environments.
See LiveAfter this course, you can
Build end-to-end NLP pipelines for real-world text processing tasks
Implement transformer-based models for language understanding
Develop and deploy text analysis and inference demonstrations
Apply NLP solutions to sentiment analysis, resume screening, and chatbot systems
Course Curriculum
Expand or explore the full learning path.
Pre-Requisites Content
Complete this section before the live session to get the most out of the course. You'll unlock this content immediately after enrolling.
Python and virtual environment setup
20 min
Installing NLP libraries (NLTK, spaCy, Transformers)
25 min
Jupyter Notebook and dataset setup
15 min
Basic machine learning workflow recap
20 min
Understanding classification problems
15 min
Tokenization and normalization concepts
20 min
Working with text datasets
20 min
Live Session Content
This topic will be taught live in an interactive session, allowing you to engage with the instructor and ask questions in real time. While recordings will be available, attending live offers the best learning experience.
Text cleaning and preprocessing techniques
30 min
Feature extraction and embeddings
30 min
Classical NLP models overview
25 min
Designing NLP workflows
30 min
Model training and evaluation metrics
30 min
Building sentiment analysis pipeline
25 min
Attention mechanism fundamentals
30 min
Transformer architecture breakdown
30 min
Fine-tuning transformer models
25 min
Conceptual understanding of BERT
25 min
GPT models and generative NLP
25 min
Chatbot backend implementation
35 min
Post Session Study Material
This section will be unlocked after the session. You'll get access to exclusive bonus content, additional examples, and on-demand resources to support continuous learning and deeper understanding.
Sentiment analysis system walkthrough
35 min
Resume screening NLP tool case study
35 min
Chatbot architecture deep dive
30 min
Scaling NLP systems in production
25 min
Build and deploy a custom NLP pipeline
50 min
Create inference demo using transformer model
30 min
Requirements
What you should have before starting the course.
Laptop with minimum 8GB RAM
Intermediate Python programming knowledge
Basic understanding of machine learning
Familiarity with text data processing
Interest in building real-world NLP applications
Tools you are going to use
Python
PyTorch
spaCy
TensorFlow
Hugging Face
Learn From Expert Instructor
Meet the mentors leading the live sessions.
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.
LinkedInYou should join this course if you
Students & Fresh Graduates
Build a strong portfolio
Learn from live mentors
Get feedback on your work
Working Professionals
Upgrade frontend skills
Ship real projects
Join a peer community
Career Switchers
Structured learning path
Hands-on practice
Guided sessions
Freelancers & Creators
Build client-ready sites
Improve delivery speed
Learn modern workflows
What you will get after completing this course
Receive an official course completion certificate
Earn skill-focused feedback from mentors
Showcase your project in the Shattak community
Access lifetime notes and references
Stay connected with instructors for guidance
Completion bonus
Certificate access, community showcase, and lifetime mentor guidance.
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.
Starting From
23 May - 8:00 pm
Live Session
9Hr
Get Life Time Access
INR 1,199
INR 1,500
20% off
Get Life Time Access
INR 1,199
INR 1,500
20% off